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"bibliographic_citation": "Salmivaara, A. Launiainen, S., Tuominen, S., Ala-Ilomäki, J., Finér, L. 2017: Topographic Wetness Index for Finland, Natural Resources Institute Finland, Etsin research data finder, 2017. \r\nurn:nbn:fi:csc-kata20170511113233803176",
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"en": "The Topographic Wetness Index (TWI) (Beven & Kirkby, 1979) was calculated for Finland in accordance to the multisource National Forest Inventory data resolution and grid (16m*16m) (Luke MS-NFI, 2015). The calculation was conducted for a union of two Digital Elevation Models (DEM) (NLS, 2017) including the latest available 2m resolution DEM (status in June 2016) and the 10m resolution DEM. The combined DEM was clipped according to watershed areas (3rd level division) (Finnish Environment Institute, 2010) with 500m buffer to account for uncertainty in basin boundaries (Makinen, Sarjakoski, Oksanen, & Westerholm, 2016). Mean elevation value was used in aggregation to the MS-NFI grid. The pre-processing of the DEM and the calculation of the TWI were conducted in WhiteBox GIS programme (Lindsay, 2014) with python script looping through the 5637 watersheds. First the road and stream intersections (derived from NLS Topographical Database) were burned into the DEM to account for culverts. Then all water elements were burned into the DEM with 1 meter upper threshold and a decay factor accounting for possible mis-aligned stream data. The DEM was then handled with ‘Fast Breach Depressions’ tool that offers a good alternative to the traditional filling method to deal with artificial pits in DEMs (Lindsay, 2016). After, the flow direction and flow accumulation rasters were calculated with the D-infinity method (Tarboton, 1997) and the slope was calculated from the original DEM. The TWI was finally calculated and the lake areas derived from the topographic database were reset as NoData. For data sharing purposes, the TWI raster was multiplied by 1000 and cell values were converted to integer type.\r\n\r\nResolution: 16*16m\r\n\r\nCoordinate system: ETRS-TM35FIN",
"fi": "Topografinen kosteusindeksi (Beven & Kirkby, 1979) on laskettu koko Suomelle 16 metrisessä hilassa, joka on yhtenevä Luonnonvarakeskuksen monilähteisen kansallisen metsäinventaarion kartta-aineiston kanssa (Luke MS-NFI, 2015). Laskennassa hyödynnettiin resoluutioltaan 2 m *2 m pintamallia (kesäkuun 2016 saatavuuden mukaan) ja 10 m *10 m pintamallia muilta osin (Maanmittauslaitos 2017). Pintamalli ositettiin 500 metrin puskurilla SYKEn kolmannen jakovaiheen valuma-alueiden rajojen mukaan (SYKE, 2010) ja aggregoitiin keskiarvolla 16 metrin hilaruutuihin. Pintamallin esikäsittelyt ja kosteusindeksin laskenta toteutettiin valuma-alueittain python-koodilla Whitebox GIS-ohjelmistossa (Lindsay, 2014). Teiden ja uomien risteyskohdat muokattiin pintamalliin ensin, ja sen jälkeen uomaelementit poltettiin pintamalliin 1m maksimiarvolla niin että huomioitiin mahdolliset erimielisyydet maastotietokannan uomien sijainnin ja pintamallin välillä vaimennuskertoimella. Piantamlli esikäsiteltiin edelleen kaiverrusmenetelmällä (’fast breaching’), joka täyttämisen sijaan käsittelee mahdolliset veden virtauksen estävät ja pintamallin epätarkkuudesta johtuvat väärät kuoppakohdat kaivertamalla sopivan virtausreitin pintamalliin (Lindsay, 2016). Esikäsittelyn jälkeen virtaussuunnat ja virtaaman kerääntymisrasterit laskettiin ’D-infinity’ -menetelmällä (Tarboton, 1997), ja kaltevuus määritettiin alkuperäisestä muokkaamattomasta pintamallista. Topografinen kosteusindeksi laskettiin ja aineiston siirtämisen sujuvoittamiseksi TWI-indeksin arvot kerrottiin 1000:lla jotta arvot voitiin muuttaa kokonaisluvuiksi indeksin tarkkuuden vähentymättä.\r\n\r\nHila: 16*16m\r\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "‘The erosion susceptibility of Finnish agricultural lands’ data describes the average susceptibility of surface soil to water erosion (kg/ha/y). The data is based on RUSLE (Revised Universal Soil Loss Equation) and it covers almost all agricultural lands in Finland in 2×2 m resolution. The calculations include the effects of rainfall (R), soil type (K), slope length (L), and slope steepness (S) on erosion, but exclude the effects of vegetation cover and human activities (C=1, P=1). The effect of rainfall is based on measured precipitation data from 2007-2013. The data is spatially consistent, and it allows comparison of erosion susceptibility between different areas and locations, but for actual erosion rates it needs to be scaled down with appropriate C and P factor values.\n\nA [potential erosion of agricultural lands data](https://urn.fi/urn:nbn:fi:att:c0ef250f-8c7f-4300-afa8-963dee6fddaa) (10×10 m) has been derived from this data and a separately produced [erosion susceptibility of land areas](https://urn.fi/urn:nbn:fi:att:f658fb82-ef83-48c3-a48b-181fdb87cda0) data (2×2 m) exists for all land areas.\n\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)\n\nMore detailed description of the data: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610.",
"fi": "Peltomaiden eroosioherkkyysaineisto kuvaa peltojen pintamaan keskimääräistä herkkyyttä vesieroosiolle (kg/ha/v). Aineisto perustuu RUSLE (Revised Universal Soil Loss Equation) - malliin ja se kattaa lähes kaikki Suomen pellot 2×2 m tarkkuudella. Laskennassa on otettu huomioon sadannan (R), maaperän (K) ja rinteen pituuden (L), rinteen jyrkkyyden (S) vaikutus eroosioon, mutta kasvillisuutta tai ihmistoimia ei ole otettu huomioon (C =1ja P=1). Sadannan vaikutus perustuu sadantamittauksiin vuosilta 2007–2013. Aineisto on spatiaalisesti konsistentti ja se mahdollistaa eroosioherkkyyden vertailun eri alueiden välillä, mutta todellisen eroosion suuruuden arvioimiseksi aineistoa on skaalattava sopivilla C- ja P-tekijän arvoilla.\n\nAineistosta on johdettu [peltomaiden potentiaalinen eroosioaineisto](https://urn.fi/urn:nbn:fi:att:c0ef250f-8c7f-4300-afa8-963dee6fddaa) (10×10 m) ja kaikille maa-alueille on erikseen tuotettu [maa-alueiden eroosioherkkyysaineisto](https://urn.fi/urn:nbn:fi:att:f658fb82-ef83-48c3-a48b-181fdb87cda0) (2×2 m).\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)\n\nAineiston tarkempi kuvaus: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610."
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"en": "Estimates of variables in map form from multi-source national forest inventory (MS-NFI) for year 2021 by Natural Resources Institute Finland (Luke). The estimates are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Ten sets of estimates have been produced for the most part of the country and nine sets for Lapland. The number of the map form themes is 45. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. A new set of the products will be produced annually or biannually in the future. The maps are in a raster format with a pixel size of 16m x 16m and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.\n\nThemes:\n* Biomass, spruce, living branches 2021 (10 kg/ha)\n* Biomass, spruce, stem residual 2021 (10 kg/ha)\n* Biomass, spruce, roots, d > 1 cm 2021 (10 kg/ha)\n* Biomass, spruce, stump 2021 (10 kg/ha)\n* Biomass, spruce, dead branches 2021 (10 kg/ha)\n* Biomass, spruce, stem and bark 2021 (10 kg/ha)\n* Biomass, spruce, foliage 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, living branches 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, stem residual 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, roots, d > 1 cm 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, stump 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, dead branches 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, stem and bark 2021 (10 kg/ha)\n* Biomass, broad-leaved trees, foliage 2021 (10 kg/ha)\n* Biomass, pine, living branches 2021 (10 kg/ha)\n* Biomass, pine, stem residual 2021 (10 kg/ha)\n* Biomass, pine, roots, d > 1 cm 2021 (10 kg/ha)\n* Biomass, pine, stump 2021 (10 kg/ha)\n* Biomass, pine, dead branches 2021 (10 kg/ha)\n* Biomass, pine, stem and bark 2021 (10 kg/ha)\n* Biomass, pine, foliage 2021 (10 kg/ha)\n* Site main class 2021 (1-4)\n* Site fertility class 2021 (1-10)\n* Land class 2021 (1-3)\n* Land class based on FAO FRA 2021 (1-4)\n* Stand age 2021 (year) \n* Stand mean diameter of 2021 (cm)\n* Stand mean height 2021 (dm)\n* Canopy cover 2021 (%)\n* Canopy cover of broad-leaved trees 2021 (%)\n* Stand basal area 2021 (m2/ha) \n* Data source index, MSNFI 2021\n* Volume, birch 2021 (m3/ha) \n* Volume, birch pulpwood 2021 (m3/ha)\n* Volume, birch saw timber 2021 (m3/ha)\n* Volume, spruce 2021 (m3/ha)\n* Volume, spruce pulpwood 2021 (m3/ha)\n* Volume, spruce saw timber 2021 (m3/ha)\n* Volume, other broad-leaved trees 2021 (m3/ha)\n* Volume, other broad-leaved trees pulpwood 2021 (m3/ha)\n* Volume, other broad-leaved trees saw timber 2021 (m3/ha)\n* Volume, pine 2021 (m3/ha)\n* Volume, pine pulpwood 2021 (m3/ha)\n* Volume, pine saw timber 2021 (m3/ha)\n* Volume, the growing stock 2021 (m3/ha)\n\nThe pixel value indicates the value of the theme variable except:\n* 32766 is a missing value: the pixel belongs to forestry land but without satellite image cover\n* 32767 is a null value: the pixel does not belong to forestry land or is outside of the country\n\nMore information: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)",
"fi": "Luonnonvarakeskuksen (Luke) valtakunnan metsien monilähteisessä inventoinnissa (MVMI) tuotetut karttamuotoiset metsävaratiedot vuodelle 2021. Inventointi perustuu maastotietoihin, satelliittikuviin ja muuhun numeeriseen paikkatietoon. Suurimpaan osaan maata on tuotettu 10 kattavaa karttateemajoukkoa ja Lappiin 9. Inventoinnissa on 45 teemaa, puutavaralajitilavuuksien lisäksi puulajeittaiset ja puusto-ositteittaiset biomassat. Jatkossa uudet teemat tuotetaan yhden tai kahden vuoden välein. Karttamuotoiset aineistot ovat rasterimuodossa 16m x 16m hilassa ETRS-TM35FIN-koordinaattijärjestelmässä. Aineistot kattavat metsätalouden maan (VMI-maaluokista metsä-, kitu- ja joutomaan). Tässä aineistossa muu maa ja vesialueet on rajattu pois käyttäen maastotietokannan elementtejä, jotka lähinnä vastaavat VMI:n muita maaluokkia kuin metsä-, kitu- ja joutomaata.\n\nTeemat:\n* Biomassa, kuusi, elävät oksat 2021 (10 kg/ha)\n* Biomassa, kuusi, hukkapuuosa 2021 (10 kg/ha)\n* Biomassa, kuusi, juuret, d > 1 cm 2021 (10 kg/ha)\n* Biomassa, kuusi, kanto 2021 (10 kg/ha)\n* Biomassa, kuusi, kuolleet oksat 2021 (10 kg/ha)\n* Biomassa, kuusi, kuorellinen runkopuu 2021 (10 kg/ha)\n* Biomassa, kuusi, neulaset 2021 (10 kg/ha)\n* Biomassa, lehtipuut, elävät oksat 2021 (10 kg/ha)\n* Biomassa, lehtipuut, hukkapuuosa 2021 (10 kg/ha)\n* Biomassa, lehtipuut, juuret, d > 1 cm 2021 (10 kg/ha)\n* Biomassa, lehtipuut, kanto 2021 (10 kg/ha)\n* Biomassa, lehtipuut, kuolleet oksat 2021 (10 kg/ha)\n* Biomassa, lehtipuut, kuorellinen runkopuu 2021 (10 kg/ha)\n* Biomassa, lehtipuut, lehvästö 2021 (10 kg/ha)\n* Biomassa, mänty, elävät oksat 2021 (10 kg/ha)\n* Biomassa, mänty, hukkapuuosa 2021 (10 kg/ha)\n* Biomassa, mänty, juuret, d > 1 cm 2021 (10 kg/ha)\n* Biomassa, mänty, kanto 2021 (10 kg/ha)\n* Biomassa, mänty, kuolleet oksat 2021 (10 kg/ha)\n* Biomassa, mänty, kuorellinen runkopuu 2021 (10 kg/ha)\n* Biomassa, mänty, neulaset 2021 (10 kg/ha)\n* Kasvupaikan päätyyppi 2021 (1-4)\n* Kasvupaikka 2021 (1-10)\n* Maaluokka 2021 (1-3)\n* Maaluokka FAOn FRA-määritelmän mukaan 2021 (1-4)\n* Puuston ikä 2021 (vuosi)\n* Puuston keskiläpimitta 2021 (cm)\n* Puuston keskipituus 2021 (dm)\n* Puuston latvuspeittävyys, koko puusto 2021 (%)\n* Puuston latvuspeittävyys, lehtipuut 2021 (%)\n* Puuston pohjapinta-ala 2021 (m2/ha)\n* Tietolähdeindeksi, MVMI 2021\n* Tilavuus, koivu 2021 (m3/ha)\n* Tilavuus, koivu kuitupuu 2021 (m3/ha)\n* Tilavuus, koivu tukkipuu 2021 (m3/ha)\n* Tilavuus, kuusi 2021 (m3/ha)\n* Tilavuus, kuusi kuitupuu 2021 (m3/ha)\n* Tilavuus, kuusi tukkipuu 2021 (m3/ha)\n* Tilavuus, muu lehtipuu 2021 (m3/ha)\n* Tilavuus, muu lehtipuu kuitupuu 2021 (m3/ha)\n* Tilavuus, muu lehtipuu tukkipuu 2021 (m3/ha)\n* Tilavuus, mänty 2021 (m3/ha)\n* Tilavuus, mänty kuitupuu 2021 (m3/ha)\n* Tilavuus, mänty tukkipuu 2021 (m3/ha)\n* Tilavuus, puusto yhteensä 2021 (m3/ha)\n\nPikseliarvot ovat yllä olevan taulukon mukaisia suureita, paitsi:\n* 32766 on puuttuva tieto: pikseli on metsää mutta sille ei ole satelliittikuvapeittoa\n* 32767 on nodata: pikseli ei ole metsää, eli on metsätulkinnan ulkopuolella\n\nLisätietoja: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)"
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"description": {
"en": "‘The erosion susceptibility of land areas in Finland’ data describes the average susceptibility of surface soil to water erosion (t/ha/y). The data is based on RUSLE (Revised Universal Soil Loss Equation) and it covers all and areas in Finland in 2×2 m resolution. The calculations include the effects of rainfall (R), soil type (K), slope length (L), and slope steepness (S) on erosion, but exclude the effects of vegetation cover and human activities (C=1, P=1). The effect of rainfall is based on measured precipitation data from 2007-2013. The data is spatially consistent, and it allows comparison of erosion susceptibility between different areas and locations, but for actual erosion rates it needs to be scaled down with appropriate C and P factor values.\n\nMore detailed description of the used RUSLE factor data: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610. In the erosion susceptibility data of land areas, the field parcel borders and ditches in the agricultural areas are not considered in the LS calculation as described in Räsänen et al. (2023).\n\nFor agricultural lands, there are separate [erosion susceptibility](https://urn.fi/urn:nbn:fi:att:fdb14fe3-dd2d-499f-81a5-e1e799d8db8a) (2×2 m)and [potential erosion](https://urn.fi/urn:nbn:fi:att:c0ef250f-8c7f-4300-afa8-963dee6fddaa) (10×10 m) data.\n\nContact: Timo Räsänen (Luke), firstname.lastname@luke.fi\n\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Maa-alueiden eroosioherkkyysaineisto kuvaa pintamaan keskimääräistä herkkyyttä vesieroosiolle (t/ha/v). Aineisto perustuu RUSLE (Revised Universal Soil Loss Equation) - malliin ja se kattaa kaikki Suomen maa-alueet 2×2 m tarkkuudella. Laskennassa on otettu huomioon sadannan (R), maaperän (K) ja rinteen pituuden (L) ja rinteen jyrkkyyden (S) vaikutus eroosioon, mutta kasvillisuutta tai ihmistoimia ei ole otettu huomioon (C=1 ja P=1). Sadannan vaikutus perustuu sadantamittauksiin vuosilta 2007–2013. Aineisto on spatiaalisesti konsistentti ja se mahdollistaa eroosioherkkyyden vertailun eri alueiden välillä, mutta todellisen eroosion suuruuden arvioimiseksi aineistoa on skaalattava sopivilla C- ja P-tekijän arvoilla.\n\nAineistossa käytettyjen RUSLE-tekijöiden tarkempi kuvaus: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610. Maa-alueiden eroosioherkkyysaineistossa ei ole huomioitu peltojen reunoja ja ojia LS-tekijän laskennassa kuten Räsänen ym (2023 ) -artikkelissa.\n\nPeltomaille on tuotettu erikseen [eroosioherkkyys](https://urn.fi/urn:nbn:fi:att:fdb14fe3-dd2d-499f-81a5-e1e799d8db8a) (2×2 m)- ja [potentiaalinen eroosioaineisto](https://urn.fi/urn:nbn:fi:att:c0ef250f-8c7f-4300-afa8-963dee6fddaa) (10×10 m).\n\nAineiston ylläpito: Timo Räsänen (Luke), etunimi.sukunimi@luke.fi\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"url": "http://www.yso.fi/onto/okm-tieteenala/ta1171",
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"pref_label": {
"en": "Agronomy",
"fi": "Maataloustiede",
"sv": "Jordbruksvetenskap"
}
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],
"infrastructure": [],
"issued": "2021-09-22",
"keyword": [
"RUSLE"
],
"language": [],
"metadata_owner": {
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"remote_resources": [
{
"title": {
"en": "Maa-alueiden eroosioherkkyys, 2021"
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"pref_label": {
"en": "Outcome material",
"fi": "Tulosaineisto"
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"download_url": "https://paituli.csc.fi/download.html?data_id=luke_erosionrisk_all_2m_2021_tif_utm35n"
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"en": "Estimates of variables in map form from multi-source national forest inventory (MS-NFI) for year 2013 by Natural Resources Institute Finland (Luke). The estimates are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Seven sets of estimates have been produced for the most part of the country and five sets for Lapland. The number of the map form themes is 45. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. The maps are in a raster format with a pixel size of 16m x 16m and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.\n\nThemes:\n* Biomass, spruce, living branches 2013 (10 kg/ha)\n* Biomass, spruce, stem residual 2013 (10 kg/ha)\n* Biomass, spruce, roots, d > 1 cm 2013 (10 kg/ha)\n* Biomass, spruce, stump 2013 (10 kg/ha)\n* Biomass, spruce, dead branches 2013 (10 kg/ha)\n* Biomass, spruce, stem and bark 2013 (10 kg/ha)\n* Biomass, spruce, foliage 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, living branches 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, stem residual 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, roots, d > 1 cm 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, stump 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, dead branches 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, stem and bark 2013 (10 kg/ha)\n* Biomass, broad-leaved trees, foliage 2013 (10 kg/ha)\n* Biomass, pine, living branches 2013 (10 kg/ha)\n* Biomass, pine, stem residual 2013 (10 kg/ha)\n* Biomass, pine, roots, d > 1 cm 2013 (10 kg/ha)\n* Biomass, pine, stump 2013 (10 kg/ha)\n* Biomass, pine, dead branches 2013 (10 kg/ha)\n* Biomass, pine, stem and bark 2013 (10 kg/ha)\n* Biomass, pine, foliage 2013 (10 kg/ha)\n* Site main class 2013 (1-4)\n* Site fertility class 2013 (1-10)\n* Land class 2013 (1-3)\n* Land class based on FAO FRA 2013 (1-4)\n* Stand age 2013 (year) \n* Stand mean diameter of 2013 (cm)\n* Stand mean height 2013 (dm)\n* Canopy cover 2013 (%)\n* Canopy cover of broad-leaved trees 2013 (%)\n* Stand basal area 2013 (m2/ha) \n* Data source index, MSNFI 2013\n* Volume, birch 2013 (m3/ha) \n* Volume, birch pulpwood 2013 (m3/ha)\n* Volume, birch saw timber 2013 (m3/ha)\n* Volume, spruce 2013 (m3/ha)\n* Volume, spruce pulpwood 2013 (m3/ha)\n* Volume, spruce saw timber 2013 (m3/ha)\n* Volume, other broad-leaved trees 2013 (m3/ha)\n* Volume, other broad-leaved trees pulpwood 2013 (m3/ha)\n* Volume, other broad-leaved trees saw timber 2013 (m3/ha)\n* Volume, pine 2013 (m3/ha)\n* Volume, pine pulpwood 2013 (m3/ha)\n* Volume, pine saw timber 2013 (m3/ha)\n* Volume, the growing stock 2013 (m3/ha)\n\nThe pixel value indicates the value of the theme variable except:\n* 32766 is a missing value: the pixel belongs to forestry land but without satellite image cover\n* 32767 is a null value: the pixel does not belong to forestry land or is outside of the country\n\nMore information: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)",
"fi": "Luonnonvarakeskuksen (Luke) valtakunnan metsien monilähteisessä inventoinnissa (MVMI) tuotetut karttamuotoiset metsävaratiedot vuodelle 2013. Inventointi perustuu maastotietoihin, satelliittikuviin ja muuhun numeeriseen paikkatietoon. Suurimpaan osaan maata on tuotettu 7 kattavaa karttateemajoukkoa ja Lappiin 5. Inventoinnissa on 45 teemaa, puutavaralajitilavuuksien lisäksi puulajeittaiset ja puusto-ositteittaiset biomassat. Karttamuotoiset aineistot ovat rasterimuodossa 16m x 16m hilassa ETRS-TM35FIN-koordinaattijärjestelmässä. Aineistot kattavat metsätalouden maan (VMI-maaluokista metsä-, kitu- ja joutomaan). Tässä aineistossa muu maa ja vesialueet on rajattu pois käyttäen maastotietokannan elementtejä, jotka lähinnä vastaavat VMI:n muita maaluokkia kuin metsä-, kitu- ja joutomaata.\n\nTeemat:\n* Biomassa, kuusi, elävät oksat 2013 (10 kg/ha)\n* Biomassa, kuusi, hukkapuuosa 2013 (10 kg/ha)\n* Biomassa, kuusi, juuret, d > 1 cm 2013 (10 kg/ha)\n* Biomassa, kuusi, kanto 2013 (10 kg/ha)\n* Biomassa, kuusi, kuolleet oksat 2013 (10 kg/ha)\n* Biomassa, kuusi, kuorellinen runkopuu 2013 (10 kg/ha)\n* Biomassa, kuusi, neulaset 2013 (10 kg/ha)\n* Biomassa, lehtipuut, elävät oksat 2013 (10 kg/ha)\n* Biomassa, lehtipuut, hukkapuuosa 2013 (10 kg/ha)\n* Biomassa, lehtipuut, juuret, d > 1 cm 2013 (10 kg/ha)\n* Biomassa, lehtipuut, kanto 2013 (10 kg/ha)\n* Biomassa, lehtipuut, kuolleet oksat 2013 (10 kg/ha)\n* Biomassa, lehtipuut, kuorellinen runkopuu 2013 (10 kg/ha)\n* Biomassa, lehtipuut, lehvästö 2013 (10 kg/ha)\n* Biomassa, mänty, elävät oksat 2013 (10 kg/ha)\n* Biomassa, mänty, hukkapuuosa 2013 (10 kg/ha)\n* Biomassa, mänty, juuret, d > 1 cm 2013 (10 kg/ha)\n* Biomassa, mänty, kanto 2013 (10 kg/ha)\n* Biomassa, mänty, kuolleet oksat 2013 (10 kg/ha)\n* Biomassa, mänty, kuorellinen runkopuu 2013 (10 kg/ha)\n* Biomassa, mänty, neulaset 2013 (10 kg/ha)\n* Kasvupaikan päätyyppi 2013 (1-4)\n* Kasvupaikka 2013 (1-10)\n* Maaluokka 2013 (1-3)\n* Maaluokka FAOn FRA-määritelmän mukaan 2013 (1-4)\n* Puuston ikä 2013 (vuosi)\n* Puuston keskiläpimitta 2013 (cm)\n* Puuston keskipituus 2013 (dm)\n* Puuston latvuspeittävyys, koko puusto 2013 (%)\n* Puuston latvuspeittävyys, lehtipuut 2013 (%)\n* Puuston pohjapinta-ala 2013 (m2/ha)\n* Tietolähdeindeksi, MVMI 2013\n* Tilavuus, koivu 2013 (m3/ha)\n* Tilavuus, koivu kuitupuu 2013 (m3/ha)\n* Tilavuus, koivu tukkipuu 2013 (m3/ha)\n* Tilavuus, kuusi 2013 (m3/ha)\n* Tilavuus, kuusi kuitupuu 2013 (m3/ha)\n* Tilavuus, kuusi tukkipuu 2013 (m3/ha)\n* Tilavuus, muu lehtipuu 2013 (m3/ha)\n* Tilavuus, muu lehtipuu kuitupuu 2013 (m3/ha)\n* Tilavuus, muu lehtipuu tukkipuu 2013 (m3/ha)\n* Tilavuus, mänty 2013 (m3/ha)\n* Tilavuus, mänty kuitupuu 2013 (m3/ha)\n* Tilavuus, mänty tukkipuu 2013 (m3/ha)\n* Tilavuus, puusto yhteensä 2013 (m3/ha)\n\nPikseliarvot ovat yllä olevan taulukon mukaisia suureita, paitsi:\n* 32766 on puuttuva tieto: pikseli on metsää mutta sille ei ole satelliittikuvapeittoa\n* 32767 on nodata: pikseli ei ole metsää, eli on metsätulkinnan ulkopuolella\n\nLisätietoja: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)"
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"en": "Estimates of variables in map form from multi-source national forest inventory (MS-NFI) for year 2009 by Finnish Forest Research Institute (Metla). The estimates are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Five sets of estimates have been produced for the most part of the country and four sets for Lapland. The number of the map form themes is 44. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. The maps are in a raster format with a pixel size of 20m x 20m and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.\n\nThemes:\n* Biomass, spruce, living branches 2009 (10 kg/ha)\n* Biomass, spruce, stem residual 2009 (10 kg/ha)\n* Biomass, spruce, roots, d > 1 cm 2009 (10 kg/ha)\n* Biomass, spruce, stump 2009 (10 kg/ha)\n* Biomass, spruce, dead branches 2009 (10 kg/ha)\n* Biomass, spruce, stem and bark 2009 (10 kg/ha)\n* Biomass, spruce, foliage 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, living branches 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, stem residual 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, roots, d > 1 cm 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, stump 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, dead branches 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, stem and bark 2009 (10 kg/ha)\n* Biomass, broad-leaved trees, foliage 2009 (10 kg/ha)\n* Biomass, pine, living branches 2009 (10 kg/ha)\n* Biomass, pine, stem residual 2009 (10 kg/ha)\n* Biomass, pine, roots, d > 1 cm 2009 (10 kg/ha)\n* Biomass, pine, stump 2009 (10 kg/ha)\n* Biomass, pine, dead branches 2009 (10 kg/ha)\n* Biomass, pine, stem and bark 2009 (10 kg/ha)\n* Biomass, pine, foliage 2009 (10 kg/ha)\n* Site main class 2009 (1-4)\n* Site fertility class 2009 (1-8)\n* Land class 2009 (1-3)\n* Stand age 2009 (year) \n* Stand mean diameter of 2009 (cm)\n* Stand mean height 2009 (dm)\n* Canopy cover 2009 (%)\n* Canopy cover of broad-leaved trees 2009 (%)\n* Stand basal area 2009 (m2/ha) \n* Data source index, MSNFI 2009\n* Volume, birch 2009 (m3/ha) \n* Volume, birch pulpwood 2009 (m3/ha)\n* Volume, birch saw timber 2009 (m3/ha)\n* Volume, spruce 2009 (m3/ha)\n* Volume, spruce pulpwood 2009 (m3/ha)\n* Volume, spruce saw timber 2009 (m3/ha)\n* Volume, other broad-leaved trees 2009 (m3/ha)\n* Volume, other broad-leaved trees pulpwood 2009 (m3/ha)\n* Volume, other broad-leaved trees saw timber 2009 (m3/ha)\n* Volume, pine 2009 (m3/ha)\n* Volume, pine pulpwood 2009 (m3/ha)\n* Volume, pine saw timber 2009 (m3/ha)\n* Volume, the growing stock 2009 (m3/ha)\n\nThe pixel value indicates the value of the theme variable except:\n* 32766 is a missing value: the pixel belongs to forestry land but without satellite image cover\n* 32767 is a null value: the pixel does not belong to forestry land or is outside of the country\n\nMore information: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)",
"fi": "Metsäntutkimuslaitoksen (Metla) valtakunnan metsien monilähteisessä inventoinnissa (MVMI) tuotetut karttamuotoiset metsävaratiedot vuodelle 2009. Inventointi perustuu maastotietoihin, satelliittikuviin ja muuhun numeeriseen paikkatietoon. Suurimpaan osaan maata on tuotettu 5 kattavaa karttateemajoukkoa ja Lappiin 4. Inventoinnissa on 44 teemaa, puutavaralajitilavuuksien lisäksi puulajeittaiset ja puusto-ositteittaiset biomassat. Karttamuotoiset aineistot ovat rasterimuodossa 20m x 20m hilassa ETRS-TM35FIN-koordinaattijärjestelmässä. Aineistot kattavat metsätalouden maan (VMI-maaluokista metsä-, kitu- ja joutomaan). Tässä aineistossa muu maa ja vesialueet on rajattu pois käyttäen maastotietokannan elementtejä, jotka lähinnä vastaavat VMI:n muita maaluokkia kuin metsä-, kitu- ja joutomaata.\n\nTeemat:\n* Biomassa, kuusi, elävät oksat 2009 (10 kg/ha)\n* Biomassa, kuusi, hukkapuuosa 2009 (10 kg/ha)\n* Biomassa, kuusi, juuret, d > 1 cm 2009 (10 kg/ha)\n* Biomassa, kuusi, kanto 2009 (10 kg/ha)\n* Biomassa, kuusi, kuolleet oksat 2009 (10 kg/ha)\n* Biomassa, kuusi, kuorellinen runkopuu 2009 (10 kg/ha)\n* Biomassa, kuusi, neulaset 2009 (10 kg/ha)\n* Biomassa, lehtipuut, elävät oksat 2009 (10 kg/ha)\n* Biomassa, lehtipuut, hukkapuuosa 2009 (10 kg/ha)\n* Biomassa, lehtipuut, juuret, d > 1 cm 2009 (10 kg/ha)\n* Biomassa, lehtipuut, kanto 2009 (10 kg/ha)\n* Biomassa, lehtipuut, kuolleet oksat 2009 (10 kg/ha)\n* Biomassa, lehtipuut, kuorellinen runkopuu 2009 (10 kg/ha)\n* Biomassa, lehtipuut, lehvästö 2009 (10 kg/ha)\n* Biomassa, mänty, elävät oksat 2009 (10 kg/ha)\n* Biomassa, mänty, hukkapuuosa 2009 (10 kg/ha)\n* Biomassa, mänty, juuret, d > 1 cm 2009 (10 kg/ha)\n* Biomassa, mänty, kanto 2009 (10 kg/ha)\n* Biomassa, mänty, kuolleet oksat 2009 (10 kg/ha)\n* Biomassa, mänty, kuorellinen runkopuu 2009 (10 kg/ha)\n* Biomassa, mänty, neulaset 2009 (10 kg/ha)\n* Kasvupaikan päätyyppi 2009 (1-4)\n* Kasvupaikka 2009 (1-8)\n* Maaluokka 2009 (1-3)\n* Puuston ikä 2009 (vuosi)\n* Puuston keskiläpimitta 2009 (cm)\n* Puuston keskipituus 2009 (dm)\n* Puuston latvuspeittävyys, koko puusto 2009 (%)\n* Puuston latvuspeittävyys, lehtipuut 2009 (%)\n* Puuston pohjapinta-ala 2009 (m2/ha)\n* Tietolähdeindeksi, MVMI 2009\n* Tilavuus, koivu 2009 (m3/ha)\n* Tilavuus, koivu kuitupuu 2009 (m3/ha)\n* Tilavuus, koivu tukkipuu 2009 (m3/ha)\n* Tilavuus, kuusi 2009 (m3/ha)\n* Tilavuus, kuusi kuitupuu 2009 (m3/ha)\n* Tilavuus, kuusi tukkipuu 2009 (m3/ha)\n* Tilavuus, muu lehtipuu 2009 (m3/ha)\n* Tilavuus, muu lehtipuu kuitupuu 2009 (m3/ha)\n* Tilavuus, muu lehtipuu tukkipuu 2009 (m3/ha)\n* Tilavuus, mänty 2009 (m3/ha)\n* Tilavuus, mänty kuitupuu 2009 (m3/ha)\n* Tilavuus, mänty tukkipuu 2009 (m3/ha)\n* Tilavuus, puusto yhteensä 2009 (m3/ha)\n\nPikseliarvot ovat yllä olevan taulukon mukaisia suureita, paitsi:\n* 32766 on puuttuva tieto: pikseli on metsää mutta sille ei ole satelliittikuvapeittoa\n* 32767 on nodata: pikseli ei ole metsää, eli on metsätulkinnan ulkopuolella\n\nLisätietoja: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)"
},
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{
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"infrastructure": [],
"issued": "2024-05-23",
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"en": "Aineistosarja kuvaa Suomen metsien harvinaisten puulajien (muut kuin mänty ja kuusi) esiintymisen vuosina 1994, 2002, 2009 ja 2015. Aineiston perustuu valtakunnan metsien inventoinnin (VMI) mittauksiin ja satelliittikuva-aineistoon vastaavilta ajankohdilta. Aineisto on tuotettu siten, että on yhdistetty satelliittikuvatulkintaan perustuva karttamuotoinen metsävaratieto ja VMI-koealojen mittaustieto karttapinnaksi, joka kuvaa puulajien levinneisyyttä ja määrää metsätalouden maalla neliökilometrin ruuduissa. Kartat on tuotettu polygonimuodossa ESRI shape -formaatissa, jossa kukin 1 km2 ruutu on erillisenä polygonina.\r\n\r\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
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"title": {
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"fi": "Suomen maannostietokanta versio 1.1 on Luonnonvarakeskuksen (Luke) ja Geologian tutkimuskeskuksen (GTK) tuottama aineisto. Maannostietokanta sisältää valtakunnallista aineistoa maannoksista, maannosmaisemista ja maaperän suuralueista kansainvälisen World Reference Base for Soil Resources (WRB) -luokittelujärjestelmän mukaisesti. Aineisto pohjautuu Geologian tutkimuskeskus GTK:n laatimaan geologiseen maaperäkarttaan ja tietokantaan (maaperän yleiskartta). Maa- ja elintarviketalouden tutkimuskeskus MTT (nyk. LUKE) on johtanut WRB-luokittelun mukaiset maannosnimet GTK:n muodostamille, suomalaisen maalajiluokituksen mukaisille kuvioille, yhdistänyt ne maannosmaisemiksi ja koonnut maalajien ja maannosten ominaisuustiedot. Metsäntutkimuslaitos Metla (nyk. LUKE) on osallistunut metsämaiden maannostulkintaan ja tuottanut ominaisuustietoa. Tarkempi kuvaus ja käyttöohje: [http://urn.fi/URN:ISBN:978-952-326-357-4](http://urn.fi/URN:ISBN:978-952-326-357-4)"
},
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"title": {
"en": "Finnish soil database, 2016"
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"download_url": "https://paituli.csc.fi/download.html?data_id=luke_soildb_250k_2016_shp_euref"
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{
"title": {
"en": "Suomen maannostietokanta, käyttöopas versio 1.1 (2017)"
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"en": "The potential erosion risk of Finnish agricultural lands data describes the average erosion risk of surface soil to water erosion (kg/ha/y) in the case of bare fallow conditions. The data is based on RUSLE (Revised Universal Soil Loss Equation) and it covers almost all agricultural lands in Finland in 10×10 m resolution. The calculations include the effects of rainfall (R), soil type (K), slope length (L), slope steepness (S), and bare fallow (C=0.5) on erosion, but exclude the effects of other human activities (P). The effect of rainfall is based on measured precipitation data from 2007-2013. The total size of the data is approx. 1 GB and it includes one file. \n\nThe data is derived from [erosion susceptibility of land areas](https://urn.fi/urn:nbn:fi:att:f658fb82-ef83-48c3-a48b-181fdb87cda0) (2×2 m)\n\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)\n\nMore detailed description of the data: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610.",
"fi": "Peltomaiden potentiaalinen eroosio -aineisto kuvaa peltojen pintamaan keskimääräistä vesieroosiota (kg/ha/v) tilanteessa, jossa pellot ovat avokesannolla. Aineisto perustuu RUSLE (Revised Universal Soil Loss Equation) -malliin ja se kattaa lähes kaikki Suomen pellot 10×10 m tarkkuudella. Laskennassa on otettu huomioon sadannan (R), maaperän (K), rinteen pituuden (L), rinteen jyrkkyyden (S) ja avokesannon (C=0.5) vaikutus eroosioon, mutta muita ihmistoimia ei ole otettu huomioon (P). Sadannan vaikutus perustuu sadantamittauksiin vuosilta 2007–2013. \n\nAineisto on johdettu [peltomaiden eroosioherkkyysaineistosta](https://urn.fi/urn:nbn:fi:att:fdb14fe3-dd2d-499f-81a5-e1e799d8db8a) (2×2 m).\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)\n\nAineiston tarkempi kuvaus: Räsänen, T.A., Tähtikarhu, M., Uusi-Kämppä, J., Piirainen, S., Turola, E., 2023. Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland. Geoderma Regional, 32, e00610, https://doi.org/10.1016/j.geodrs.2023.e00610."
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"en": "Estimates of variables in map form from multi-source national forest inventory (MS-NFI) for year 2019 by Natural Resources Institute Finland (Luke). The estimates are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Nine sets of estimates have been produced for the most part of the country and eight sets for Lapland. The number of the map form themes is 45. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. The maps are in a raster format with a pixel size of 16m x 16m and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.\n\nThemes:\n* Biomass, spruce, living branches 2017 (10 kg/ha)\n* Biomass, spruce, stem residual 2017 (10 kg/ha)\n* Biomass, spruce, roots, d > 1 cm 2017 (10 kg/ha)\n* Biomass, spruce, stump 2017 (10 kg/ha)\n* Biomass, spruce, dead branches 2017 (10 kg/ha)\n* Biomass, spruce, stem and bark 2017 (10 kg/ha)\n* Biomass, spruce, foliage 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, living branches 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, stem residual 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, roots, d > 1 cm 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, stump 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, dead branches 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, stem and bark 2017 (10 kg/ha)\n* Biomass, broad-leaved trees, foliage 2017 (10 kg/ha)\n* Biomass, pine, living branches 2017 (10 kg/ha)\n* Biomass, pine, stem residual 2017 (10 kg/ha)\n* Biomass, pine, roots, d > 1 cm 2017 (10 kg/ha)\n* Biomass, pine, stump 2017 (10 kg/ha)\n* Biomass, pine, dead branches 2017 (10 kg/ha)\n* Biomass, pine, stem and bark 2017 (10 kg/ha)\n* Biomass, pine, foliage 2017 (10 kg/ha)\n* Site main class 2017 (1-4)\n* Site fertility class 2017 (1-10)\n* Land class 2017 (1-3)\n* Land class based on FAO FRA 2017 (1-4)\n* Stand age 2017 (year) \n* Stand mean diameter of 2017 (cm)\n* Stand mean height 2017 (dm)\n* Canopy cover 2017 (%)\n* Canopy cover of broad-leaved trees 2017 (%)\n* Stand basal area 2017 (m2/ha) \n* Data source index, MSNFI 2017\n* Volume, birch 2017 (m3/ha) \n* Volume, birch pulpwood 2017 (m3/ha)\n* Volume, birch saw timber 2017 (m3/ha)\n* Volume, spruce 2017 (m3/ha)\n* Volume, spruce pulpwood 2017 (m3/ha)\n* Volume, spruce saw timber 2017 (m3/ha)\n* Volume, other broad-leaved trees 2017 (m3/ha)\n* Volume, other broad-leaved trees pulpwood 2017 (m3/ha)\n* Volume, other broad-leaved trees saw timber 2017 (m3/ha)\n* Volume, pine 2017 (m3/ha)\n* Volume, pine pulpwood 2017 (m3/ha)\n* Volume, pine saw timber 2017 (m3/ha)\n* Volume, the growing stock 2017 (m3/ha)\n\nThe pixel value indicates the value of the theme variable except:\n* 32766 is a missing value: the pixel belongs to forestry land but without satellite image cover\n* 32767 is a null value: the pixel does not belong to forestry land or is outside of the country\n\nMore information: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)",
"fi": "Luonnonvarakeskuksen (Luke) valtakunnan metsien monilähteisessä inventoinnissa (MVMI) tuotetut karttamuotoiset metsävaratiedot vuodelle 2017. Inventointi perustuu maastotietoihin, satelliittikuviin ja muuhun numeeriseen paikkatietoon. Suurimpaan osaan maata on tuotettu 9 kattavaa karttateemajoukkoa ja Lappiin 8. Inventoinnissa on 45 teemaa, puutavaralajitilavuuksien lisäksi puulajeittaiset ja puusto-ositteittaiset biomassat. Karttamuotoiset aineistot ovat rasterimuodossa 16m x 16m hilassa ETRS-TM35FIN-koordinaattijärjestelmässä. Aineistot kattavat metsätalouden maan (VMI-maaluokista metsä-, kitu- ja joutomaan). Tässä aineistossa muu maa ja vesialueet on rajattu pois käyttäen maastotietokannan elementtejä, jotka lähinnä vastaavat VMI:n muita maaluokkia kuin metsä-, kitu- ja joutomaata.\n\nTeemat:\n* Biomassa, kuusi, elävät oksat 2017 (10 kg/ha)\n* Biomassa, kuusi, hukkapuuosa 2017 (10 kg/ha)\n* Biomassa, kuusi, juuret, d > 1 cm 2017 (10 kg/ha)\n* Biomassa, kuusi, kanto 2017 (10 kg/ha)\n* Biomassa, kuusi, kuolleet oksat 2017 (10 kg/ha)\n* Biomassa, kuusi, kuorellinen runkopuu 2017 (10 kg/ha)\n* Biomassa, kuusi, neulaset 2017 (10 kg/ha)\n* Biomassa, lehtipuut, elävät oksat 2017 (10 kg/ha)\n* Biomassa, lehtipuut, hukkapuuosa 2017 (10 kg/ha)\n* Biomassa, lehtipuut, juuret, d > 1 cm 2017 (10 kg/ha)\n* Biomassa, lehtipuut, kanto 2017 (10 kg/ha)\n* Biomassa, lehtipuut, kuolleet oksat 2017 (10 kg/ha)\n* Biomassa, lehtipuut, kuorellinen runkopuu 2017 (10 kg/ha)\n* Biomassa, lehtipuut, lehvästö 2017 (10 kg/ha)\n* Biomassa, mänty, elävät oksat 2017 (10 kg/ha)\n* Biomassa, mänty, hukkapuuosa 2017 (10 kg/ha)\n* Biomassa, mänty, juuret, d > 1 cm 2017 (10 kg/ha)\n* Biomassa, mänty, kanto 2017 (10 kg/ha)\n* Biomassa, mänty, kuolleet oksat 2017 (10 kg/ha)\n* Biomassa, mänty, kuorellinen runkopuu 2017 (10 kg/ha)\n* Biomassa, mänty, neulaset 2017 (10 kg/ha)\n* Kasvupaikan päätyyppi 2017 (1-4)\n* Kasvupaikka 2017 (1-10)\n* Maaluokka 2017 (1-3)\n* Maaluokka FAOn FRA-määritelmän mukaan 2017 (1-4)\n* Puuston ikä 2017 (vuosi)\n* Puuston keskiläpimitta 2017 (cm)\n* Puuston keskipituus 2017 (dm)\n* Puuston latvuspeittävyys, koko puusto 2017 (%)\n* Puuston latvuspeittävyys, lehtipuut 2017 (%)\n* Puuston pohjapinta-ala 2017 (m2/ha)\n* Tietolähdeindeksi, MVMI 2017\n* Tilavuus, koivu 2017 (m3/ha)\n* Tilavuus, koivu kuitupuu 2017 (m3/ha)\n* Tilavuus, koivu tukkipuu 2017 (m3/ha)\n* Tilavuus, kuusi 2017 (m3/ha)\n* Tilavuus, kuusi kuitupuu 2017 (m3/ha)\n* Tilavuus, kuusi tukkipuu 2017 (m3/ha)\n* Tilavuus, muu lehtipuu 2017 (m3/ha)\n* Tilavuus, muu lehtipuu kuitupuu 2017 (m3/ha)\n* Tilavuus, muu lehtipuu tukkipuu 2017 (m3/ha)\n* Tilavuus, mänty 2017 (m3/ha)\n* Tilavuus, mänty kuitupuu 2017 (m3/ha)\n* Tilavuus, mänty tukkipuu 2017 (m3/ha)\n* Tilavuus, puusto yhteensä 2017 (m3/ha)\n\nPikseliarvot ovat yllä olevan taulukon mukaisia suureita, paitsi:\n* 32766 on puuttuva tieto: pikseli on metsää mutta sille ei ole satelliittikuvapeittoa\n* 32767 on nodata: pikseli ei ole metsää, eli on metsätulkinnan ulkopuolella\n\nLisätietoja: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)"
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"en": "The map describes tree carbon stock changes between years 2009 and 2015 on forestry land. The map is based on segmentation of multi-source national forest inventory (MS-NFI) biomass maps. Satellite images are mainly from years 2009 and 2015. Detailed information on MS-NFI-2009 data sources is presented in working paper <https://jukuri.luke.fi/handle/10024/536180>, and for MS-NFI-2015 in working paper\n<https://jukuri.luke.fi/handle/10024/543826>. They also present coverage areas of different satellite images.\n\nDocumentary is provided also in Paikkatietoikkuna <https://kartta.paikkatietoikkuna.fi/> and in Luke’s file service\n<https://kartta.luke.fi/index-en.html>. MS-NFI data source index maps are provided in <https://kartta.luke.fi/>. MS-NFI2015 data was used in determination of segment boundaries.\n\nThe values on the map are amount of carbon stock changes (10 kg C ha-1). Missing data is 32766 and nonforestry areas and background 32767. Segmented biomass maps included above and below ground tree biomass and were converted to carbon stock map by factor 0.5. The carbon stock change is a difference between 2015 and 2009 maps. More detailed\ndescription on the method is presented in the research article.\n\nThe data set is produced at Natural Resources Institute Finland (Luke), the study is funded by the Strategic\nResearch Council at the Academy of Finland, Decision no. 312912 (SOMPA) and Horizon Europe\n(ForestPaths, project no 101056755).\n\nHaakana, M., Tuominen, S., Heikkinen, J., Peltoniemi, M., Lehtonen A. (2023). Spatial patterns of biomass change across Finland in 2009–2015. ISPRS Open Journal of Photogrammetry and Remote Sensing, Volume 8, 2023, 100036. <https://doi.org/10.1016/j.ophoto.2023.100036>\n\nResolution: 16*16m\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Aineisto kuvaa puuston hiilivaraston muutosta metsätalousmaalla. Kartta perustuu monilähteisen valtakunnan metsien inventoinnin (MVMI) puuston biomassateemakarttoihin, jotka segmentointiin. Satelliittikuvien ajankohta on pääsääntöisesti vuosilta 2009 ja 2015. Tarkemmat tiedot lähtöaineistosta löytyvät MVMI-2009:n julkaisusta <https://urn.fi/URN:ISBN:978-951-40-2428-3> ja MVMI-2015 osalta <https://urn.fi/URN:ISBN:978-952-326-711-4>.\n\nAineistokuvaukset löytyvät myös osoitteista <https://kartta.paikkatietoikkuna.fi/> ja <https://kartta.luke.fi/>. Julkaisussa on esitetty satelliittikuvien peittoalueet. MVMI-aineistojen tietolähdeindeksit löytyvät osoitteesta <https://kartta.luke.fi> karttalehdittäin. Segmenttirajojen muodostamisessa käytettiin MVMI-2015 aineistoa. \n\nKartan arvot kuvaavat puuston hiilivaraston muutosta hiilenä (10 kg C/ha). Puuttuva tieto on arvoa 32766 ja muu\nkuin metsätalousmaa ja tausta 32767.\n\nHiilivaraston muutos on johdettu biomassateemakartoista, jotka sisältävät puuston maanpäällisen biomassan sekä kanto- ja juuribiomassan. Hiilen osuus on 0.5 kokonaisbiomassasta. Puuston hiilivaraston muutos on laskettu erotuksena MVMI-2015 ja MVMI-2009 segmentoitujen karttatasojen välillä. Tarkempi menetelmäkuvaus löytyy alla olevasta tutkimusartikkelista. Kartta kattaa alueen, jolta on saatavilla MVMI-2015 ja MVMI-2009 aineistojen satelliittikuvia.\n\nHaakana, M., Tuominen, S., Heikkinen, J., Peltoniemi, M., Lehtonen A. (2023). Spatial patterns of biomass change across Finland in 2009–2015. ISPRS Open Journal of Photogrammetry and Remote Sensing, Volume 8, 2023, 100036. <https://doi.org/10.1016/j.ophoto.2023.100036>\n\nHila: 16*16m\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "Cartographic depth-to-water index (Murphy et al. 2007, 2008, 2009) is calculated based on digital elevation model and stream networks. Stream networks are created based on various thresholds to simulate different hydrological situations. Smaller threshold means that the amount of water e.g. precipitating to that threshold area is sufficient to generate a stream, water visible in surface. The DTW index is solely based on digital elevation model and soil or weather information is not considered, which introduce uncertainty to using certain DTW threshold map (Ågren et al. 2015, Lidberg et al. 2020). \n\nGenerally DTW map with 0.5 ha threshold represents very moist conditions, e.g. after snow melt or elongated or heavy rainfall events. DTW with 1 ha threshold represent also more moist than average conditions. DTW with 2 ha threshold represent average conditions. DTW with 4 ha threshold is generally thought to represent conditions in end-of-summer (Ågren et al. 2014). DTW with 10ha threshold is representing somewhat dryer the normal conditions.\n\nUnit: cm\n\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "DTW (depth-to-water) kosteusindeksikartta (Murphy et al. 2007, 2008, 2009) on laskettu korkeusmallin ja sen perusteella määritettyjen uomaverkostojen pohjalta. Uomaverkostoja on luotu 4:llä eri kynnysarvolla, jotka edustavat erilaisia hydrologisia olosuhteita. Kynnysarvo määrittää alueen, jonne satava vesi riittää synnyttämään maanpinnassa näkyvän vesiuoman. Pienempi kynnysarvo siis tarkoittaa, että vettä on esimerkiksi satanut niin paljon, että jo pieneltäkin alalta kertyy riittävästi vettä maanpinnassa näkyvän uoman synnyttämiseksi. DTW-kosteusindeksi perustuu siis täysin korkeusmalliin, jolloin maalajitietoa tai sääolosuhteita ei oteta huomioon, ja tämä aiheuttaa epävarmuutta (Ågren et al. 2015, Lidberg et al. 2020). \n\nYleisesti DTW-kartta 0.5 ha:n kynnysarvolla laskettuna edustaa erittäin kosteita olosuhteita, esimerkiksi lumen sulannan jälkeen tai voimakkaiden tai pitkäkestoisten sateiden jälkeen. DTW-kartta 1 ha:n kynnysarvolla edustaa kosteampia olosuhteita. DTW-kartta 2 ha:n kynnysarvolla edustaa normaaleja olosuhteita. DTW-kartta 4 ha:n kynnysarvolla edustaa loppukesän kuivempia olosuhteita (Ågren et al. 2014). DTW-kartta 10 ha:n kynnysarvolla edustaa edellistä kuivempia olosuhteita.\n\nYksikkö: cm\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "Aineistosarja kuvaa Suomen metsien harvinaisten puulajien (muut kuin mänty ja kuusi) esiintymisen vuosina 1994, 2002, 2009 ja 2015. Aineiston perustuu valtakunnan metsien inventoinnin (VMI) mittauksiin ja satelliittikuva-aineistoon vastaavilta ajankohdilta. Aineisto on tuotettu siten, että on yhdistetty satelliittikuvatulkintaan perustuva karttamuotoinen metsävaratieto ja VMI-koealojen mittaustieto karttapinnaksi, joka kuvaa puulajien levinneisyyttä ja määrää metsätalouden maalla neliökilometrin ruuduissa. Kartat on tuotettu polygonimuodossa ESRI shape -formaatissa, jossa kukin 1 km2 ruutu on erillisenä polygonina.\r\n\r\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
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"title": {
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"en": "Estimates of variables in map form from multi-source national forest inventory (MS-NFI) for year 2019 by Natural Resources Institute Finland (Luke). The estimates are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Nine sets of estimates have been produced for the most part of the country and eight sets for Lapland. The number of the map form themes is 45. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. The maps are in a raster format with a pixel size of 16m x 16m and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.\n\nThemes:\n* Biomass, spruce, living branches 2019 (10 kg/ha)\n* Biomass, spruce, stem residual 2019 (10 kg/ha)\n* Biomass, spruce, roots, d > 1 cm 2019 (10 kg/ha)\n* Biomass, spruce, stump 2019 (10 kg/ha)\n* Biomass, spruce, dead branches 2019 (10 kg/ha)\n* Biomass, spruce, stem and bark 2019 (10 kg/ha)\n* Biomass, spruce, foliage 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, living branches 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, stem residual 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, roots, d > 1 cm 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, stump 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, dead branches 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, stem and bark 2019 (10 kg/ha)\n* Biomass, broad-leaved trees, foliage 2019 (10 kg/ha)\n* Biomass, pine, living branches 2019 (10 kg/ha)\n* Biomass, pine, stem residual 2019 (10 kg/ha)\n* Biomass, pine, roots, d > 1 cm 2019 (10 kg/ha)\n* Biomass, pine, stump 2019 (10 kg/ha)\n* Biomass, pine, dead branches 2019 (10 kg/ha)\n* Biomass, pine, stem and bark 2019 (10 kg/ha)\n* Biomass, pine, foliage 2019 (10 kg/ha)\n* Site main class 2019 (1-4)\n* Site fertility class 2019 (1-10)\n* Land class 2019 (1-3)\n* Land class based on FAO FRA 2019 (1-4)\n* Stand age 2019 (year) \n* Stand mean diameter of 2019 (cm)\n* Stand mean height 2019 (dm)\n* Canopy cover 2019 (%)\n* Canopy cover of broad-leaved trees 2019 (%)\n* Stand basal area 2019 (m2/ha) \n* Data source index, MSNFI 2019\n* Volume, birch 2019 (m3/ha) \n* Volume, birch pulpwood 2019 (m3/ha)\n* Volume, birch saw timber 2019 (m3/ha)\n* Volume, spruce 2019 (m3/ha)\n* Volume, spruce pulpwood 2019 (m3/ha)\n* Volume, spruce saw timber 2019 (m3/ha)\n* Volume, other broad-leaved trees 2019 (m3/ha)\n* Volume, other broad-leaved trees pulpwood 2019 (m3/ha)\n* Volume, other broad-leaved trees saw timber 2019 (m3/ha)\n* Volume, pine 2019 (m3/ha)\n* Volume, pine pulpwood 2019 (m3/ha)\n* Volume, pine saw timber 2019 (m3/ha)\n* Volume, the growing stock 2019 (m3/ha)\n\nThe pixel value indicates the value of the theme variable except:\n* 32766 is a missing value: the pixel belongs to forestry land but without satellite image cover\n* 32767 is a null value: the pixel does not belong to forestry land or is outside of the country\n\nMore information: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)",
"fi": "Luonnonvarakeskuksen (Luke) valtakunnan metsien monilähteisessä inventoinnissa (MVMI) tuotetut karttamuotoiset metsävaratiedot vuodelle 2019. Inventointi perustuu maastotietoihin, satelliittikuviin ja muuhun numeeriseen paikkatietoon. Suurimpaan osaan maata on tuotettu 9 kattavaa karttateemajoukkoa ja Lappiin 8. Inventoinnissa on 45 teemaa, puutavaralajitilavuuksien lisäksi puulajeittaiset ja puusto-ositteittaiset biomassat. Karttamuotoiset aineistot ovat rasterimuodossa 16m x 16m hilassa ETRS-TM35FIN-koordinaattijärjestelmässä. Aineistot kattavat metsätalouden maan (VMI-maaluokista metsä-, kitu- ja joutomaan). Tässä aineistossa muu maa ja vesialueet on rajattu pois käyttäen maastotietokannan elementtejä, jotka lähinnä vastaavat VMI:n muita maaluokkia kuin metsä-, kitu- ja joutomaata.\n\nTeemat:\n* Biomassa, kuusi, elävät oksat 2019 (10 kg/ha)\n* Biomassa, kuusi, hukkapuuosa 2019 (10 kg/ha)\n* Biomassa, kuusi, juuret, d > 1 cm 2019 (10 kg/ha)\n* Biomassa, kuusi, kanto 2019 (10 kg/ha)\n* Biomassa, kuusi, kuolleet oksat 2019 (10 kg/ha)\n* Biomassa, kuusi, kuorellinen runkopuu 2019 (10 kg/ha)\n* Biomassa, kuusi, neulaset 2019 (10 kg/ha)\n* Biomassa, lehtipuut, elävät oksat 2019 (10 kg/ha)\n* Biomassa, lehtipuut, hukkapuuosa 2019 (10 kg/ha)\n* Biomassa, lehtipuut, juuret, d > 1 cm 2019 (10 kg/ha)\n* Biomassa, lehtipuut, kanto 2019 (10 kg/ha)\n* Biomassa, lehtipuut, kuolleet oksat 2019 (10 kg/ha)\n* Biomassa, lehtipuut, kuorellinen runkopuu 2019 (10 kg/ha)\n* Biomassa, lehtipuut, lehvästö 2019 (10 kg/ha)\n* Biomassa, mänty, elävät oksat 2019 (10 kg/ha)\n* Biomassa, mänty, hukkapuuosa 2019 (10 kg/ha)\n* Biomassa, mänty, juuret, d > 1 cm 2019 (10 kg/ha)\n* Biomassa, mänty, kanto 2019 (10 kg/ha)\n* Biomassa, mänty, kuolleet oksat 2019 (10 kg/ha)\n* Biomassa, mänty, kuorellinen runkopuu 2019 (10 kg/ha)\n* Biomassa, mänty, neulaset 2019 (10 kg/ha)\n* Kasvupaikan päätyyppi 2019 (1-4)\n* Kasvupaikka 2019 (1-10)\n* Maaluokka 2019 (1-3)\n* Maaluokka FAOn FRA-määritelmän mukaan 2019 (1-4)\n* Puuston ikä 2019 (vuosi)\n* Puuston keskiläpimitta 2019 (cm)\n* Puuston keskipituus 2019 (dm)\n* Puuston latvuspeittävyys, koko puusto 2019 (%)\n* Puuston latvuspeittävyys, lehtipuut 2019 (%)\n* Puuston pohjapinta-ala 2019 (m2/ha)\n* Tietolähdeindeksi, MVMI 2019\n* Tilavuus, koivu 2019 (m3/ha)\n* Tilavuus, koivu kuitupuu 2019 (m3/ha)\n* Tilavuus, koivu tukkipuu 2019 (m3/ha)\n* Tilavuus, kuusi 2019 (m3/ha)\n* Tilavuus, kuusi kuitupuu 2019 (m3/ha)\n* Tilavuus, kuusi tukkipuu 2019 (m3/ha)\n* Tilavuus, muu lehtipuu 2019 (m3/ha)\n* Tilavuus, muu lehtipuu kuitupuu 2019 (m3/ha)\n* Tilavuus, muu lehtipuu tukkipuu 2019 (m3/ha)\n* Tilavuus, mänty 2019 (m3/ha)\n* Tilavuus, mänty kuitupuu 2019 (m3/ha)\n* Tilavuus, mänty tukkipuu 2019 (m3/ha)\n* Tilavuus, puusto yhteensä 2019 (m3/ha)\n\nPikseliarvot ovat yllä olevan taulukon mukaisia suureita, paitsi:\n* 32766 on puuttuva tieto: pikseli on metsää mutta sille ei ole satelliittikuvapeittoa\n* 32767 on nodata: pikseli ei ole metsää, eli on metsätulkinnan ulkopuolella\n\nLisätietoja: [https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi](https://www.luke.fi/fi/seurannat/valtakunnan-metsien-inventointi-vmi)"
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"description": {
"en": "Aineistosarja kuvaa Suomen metsien harvinaisten puulajien (muut kuin mänty ja kuusi) esiintymisen vuosina 1994, 2002, 2009 ja 2015. Aineiston perustuu valtakunnan metsien inventoinnin (VMI) mittauksiin ja satelliittikuva-aineistoon vastaavilta ajankohdilta. Aineisto on tuotettu siten, että on yhdistetty satelliittikuvatulkintaan perustuva karttamuotoinen metsävaratieto ja VMI-koealojen mittaustieto karttapinnaksi, joka kuvaa puulajien levinneisyyttä ja määrää metsätalouden maalla neliökilometrin ruuduissa. Kartat on tuotettu polygonimuodossa ESRI shape -formaatissa, jossa kukin 1 km2 ruutu on erillisenä polygonina.\r\n\r\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "The dataset presents the estimated occurrence of less common tree species (other than pine and spruce) in the form of thematic maps covering entire area of Finland. The maps series represent the following years: 1994, 2002, 2009 and 2015. The tree species maps are based on geostatistical interpolation of field measurements from national forest inventory sample plots and satellite image-based forest resource estimates. The occurrence data is presented as the average volume (m3/ha) of the tree species in forestry land. The tree species maps are available as ESRI polygon shapefiles where Finland is divided into 1 x 1 km2 square polygons for which the tree species data is estimated.\r\n\r\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"pref_label": {
"en": "Agriculture and forestry",
"fi": "MAATALOUS- JA METSÄTIETEET",
"sv": "Jordbruks- och skogsvetenskaper"
}
}
],
"infrastructure": [],
"issued": "2023-08-14",
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"fi": "ei kielellistä sisältöä",
"sv": "inget språkligt innehåll"
}
}
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"title": {
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"remote_resources": [
{
"title": {
"en": "Harvinaisten puulajien esiintymiskartta, 2015"
},
"description": {
"en": "SHAPE"
},
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},
{
"title": {
"en": "Harvinaisten puulajien esiintymiskartta kuvaus / Occurrence map for less common tree species description (LUKE, 2020)"
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"fi": "Suomi",
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"en": "Tree carbon stock map describes the above ground and below ground carbon on forestry land. The map is based on segmentation of multi-source national forest inventory (MS-NFI) biomass maps. Satellite images are mainly from years 2017 – 2018. Detailed information on MS-NFI-2017 data sources is presented in working paper <https://jukuri.luke.fi/handle/10024/552462> , which also presents coverage areas of different satellite images.\n\nOlder MS-NFI data was used in cloudy areas. Documentary is provided also in Paikkatietoikkuna <https://kartta.paikkatietoikkuna.fi/> and in Luke’s file service <https://kartta.luke.fi/index-en.html>. MS-NFI data source index map is provided in <https://kartta.luke.fi/>. MS-NFI-2015 data was used in determination of segment boundaries.\n\nThe values on the map are amount of carbon (10 kg C ha-1). Missing data is 32766 and non-forestry areas and background 32767.\n\nSegmented biomass maps were converted to carbon stock map by factor 0.5. More detailed description on the method is presented in the research article. A difference to the description in the paper is that the data is MS-NFI2017 instead of MS-NFI-2015.\n\nThe data set is produced at Natural Resources Institute Finland (Luke), the study is funded by the Strategic Research Council at the Academy of Finland, Decision no. 312912 (SOMPA) and Horizon Europe (ForestPaths, project no 101056755).\n\nHaakana, M., Tuominen, S., Heikkinen, J., Peltoniemi, M., Lehtonen A. (2023). Spatial patterns of biomass change across Finland in 2009–2015. ISPRS Open Journal of Photogrammetry and Remote Sensing, Volume 8, 2023, 100036. <https://doi.org/10.1016/j.ophoto.2023.100036>\n\nResolution: 16*16m\nCoordinate system: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Aineisto kuvaa puuston hiilivaraston kokonaismäärää metsätalousmaalla. Kartta perustuu monilähteisen\nvaltakunnan metsien inventoinnin (MVMI) puuston biomassateemakarttoihin, jotka segmentointiin. Satelliittikuvien\najankohta on pääsääntöisesti vuosilta 2017 – 2018, tarkemmat tiedot lähtöaineistosta löytyvät MVMI-2017:n\ndokumenteista <https://urn.fi/URN:ISBN:978-952-380-538-5> (julkaisu), <https://kartta.paikkatietoikkuna.fi/> ja\n<https://kartta.luke.fi/>. Julkaisussa on esitetty satelliittikuvien peittoalueet, pilvialueita on paikattu tarvittaessa\nvanhemmalla aineistolla. MVMI:n tietolähdeindeksit löytyvät osoitteesta <https://kartta.luke.fi/>. Segmenttirajojen\nmuodostamisessa käytettiin MVMI-2015 aineistoa.\n\nKartan arvot ovat puuston hiilivaraston määrä hiilenä (10 kg C/ha). Puuttuva tieto on arvoa 32766 ja muu kuin\nmetsätalousmaa ja tausta 32767.\n\nHiilivaraston määrä on johdettu biomassateemakartoista, jotka sisältävät puuston maanpäällisen biomassan sekä\nkanto- ja juuribiomassan. Hiilen osuus on 0.5 kokonaisbiomassasta. Tarkempi menetelmäkuvaus löytyy alla\nolevasta tutkimusartikkelista. Julkaisussa data oli MVMI-2009 ja MVMI-2015, tässä MVMI-2017.\n\nHaakana, M., Tuominen, S., Heikkinen, J., Peltoniemi, M., Lehtonen A. (2023). Spatial patterns of biomass\nchange across Finland in 2009–2015. ISPRS Open Journal of Photogrammetry and Remote Sensing, Volume 8,\n2023, 100036. <https://doi.org/10.1016/j.ophoto.2023.100036>\n\nHila: 16*16m\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "The dataset describes the sensitivity of Finnish forests to wind disturbances. The map is based on a statistical model fitted with damage observations in the national forest inventory (NFI) combined with open GIS data layers from the Natural Resources Institute Finland (Luke), Finnish Forest Centre, Finnish Meteorological Institute, Geological Survey of Finland and National Land Survey of Finland. Wind damage sensitivity on the map is affected by tree height and dominant tree species, time since last thinning, open forest edges, wind conditions, site type, soil type and depth, and average temperature sum.\n\nThe year refers to the year of the input forest variables from the MS-NFI data (Luke). \n\nDetailed description of the data can be found in the attached research article.\n\nThe data set is produced at Natural Resources Institute Finland (Luke) as a part of StormTree project, funded by Finnish Forest Foundation. \n\nResolution: 16*16m\nCoordinate system: ETRS-TM35FIN",
"fi": "Aineisto kuvaa Suomen metsien herkkyyttä tuulituhoille. Kartta perustuu valtakunnan metsien inventoinnin (VMI) tuhohavainnoista tehtyyn tilastolliseen malliin sekä Luken, Metsäkeskuksen, Ilmatieteenlaitoksen, GTK:n ja Maanmittauslaitoksen avoimiin paikkatietoaineistoihin. Tuulituhoherkkyyteen kartalla vaikuttavat puuston pituus, metsikön pääpuulaji, edellisestä harvennuksesta kulunut aika, avoimet metsänreunat, kasvupaikan tuulisuus, kasvupaikan tyyppi, maaperän tyyppi ja paksuus sekä keskimääräinen lämpösumma. \n\nAineiston vuosi viitta kartassa käytettyjen metsämuuttujien aineiston vuoteen (monilähde-VMI/Luke).\n\nTarkka kuvaus aineiston tuottamisesta löytyy liitteen tutkimusartikkelista.\n\nHila: 16*16m\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "The dataset describes the sensitivity of Finnish forests to snow disturbances. The map is based on a statistical model fitted with damage observations in the national forest inventory (NFI) combined with open GIS data layers from the Natural Resources Institute Finland (Luke), Finnish Meteorological Institute and National Land Survey of Finland.\n\nThe values on the map are probabilities (from 0 to 1) that have been multiplied by 1000 and converted to integers.\n\nDetailed description of the data can be found in the attached research article. A difference to the description in the paper is that the snow load values (variable “Snowload) in the calculation of this map are 5-year return rates of maximum snow load.\n\nSuvanto, S., Lehtonen, A., Nevalainen, S., Lehtonen, I., Viiri, H., Strandström, M., Peltoniemi, M. (2021). Mapping the probability of forest snow disturbances in Finland. P PLOS ONE 16(7): e0254876. [https://doi.org/10.1371/journal.pone.0254876](https://doi.org/10.1371/journal.pone.0254876)\n\nThe data set is produced at Natural Resources Institute Finland (Luke) as a part of StormTree project, funded by Finnish Forest Foundation. \n\nResolution: 16*16m\n\nCoordinate system: ETRS-TM35FIN",
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