diff --git a/src/main/resources/raster-catalog-pro.json b/src/main/resources/raster-catalog-pro.json index 88ed7f20..e8312196 100755 --- a/src/main/resources/raster-catalog-pro.json +++ b/src/main/resources/raster-catalog-pro.json @@ -12,6 +12,10 @@ "name":"wdpa_protected_areas", "source_uri":"s3://gfw-data-lake/wdpa_protected_areas/v202208/raster/epsg-4326/{grid_size}/{row_count}/iucn_cat/gdal-geotiff/{tile_id}.tif" }, + { + "name":"detailed_wdpa_protected_areas", + "source_uri":"s3://gfw-data-lake/wdpa_protected_areas/v202308/raster/epsg-4326/{grid_size}/{row_count}/detailed_iucn_cat/gdal-geotiff/{tile_id}.tif" + }, { "name":"gfw_oil_gas", "source_uri":"s3://gfw-data-lake/gfw_oil_gas/v20221024/raster/epsg-4326/{grid_size}/{row_count}/is/gdal-geotiff/{tile_id}.tif" diff --git a/src/main/scala/org/globalforestwatch/layers/DetailedProtectedAreas.scala b/src/main/scala/org/globalforestwatch/layers/DetailedProtectedAreas.scala new file mode 100644 index 00000000..4f127877 --- /dev/null +++ b/src/main/scala/org/globalforestwatch/layers/DetailedProtectedAreas.scala @@ -0,0 +1,25 @@ +package org.globalforestwatch.layers + +import org.globalforestwatch.grids.GridTile + +case class DetailedProtectedAreas(gridTile: GridTile, kwargs: Map[String, Any]) extends StringLayer with OptionalILayer { + val datasetName = "detailed_wdpa_protected_areas" + val uri: String = uriForGrid(gridTile, kwargs) + + def lookup(value: Int): String = value match { + case 1 => "Category Ia" + case 2 => "Category Ib" + case 3 => "Category II" + case 4 => "Category III" + case 5 => "Category IV" + case 6 => "Category V" + case 7 => "Category VI" + case 8 => "UNESCO-MAB Biosphere Reserve" + case 9 => "World Heritage Site (natural or mixed)" + case 10 => "Ramsar Site, Wetland of International Importance" + case 11 => "Not Reported" + case 12 => "Not Applicable" + case 13 => "Not Assigned" + case _ => "" + } +} diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticDF.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticDF.scala index 4ed014b8..1e57350d 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticDF.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticDF.scala @@ -116,6 +116,8 @@ object ForestChangeDiagnosticDF extends SummaryDF { "protected_areas_area", // protectedAreasArea "peat_area", // peatlandsArea "arg_otbn_area", // argOTBNArea + "protected_areas_by_category_area", // protectedAreasByCategory + "landmark_by_category_area", // landmarkByCategory "brazil_biomes", // braBiomesArea "idn_legal_area", // idnForestAreaArea "sea_landcover_area", // seAsiaLandCoverArea @@ -149,4 +151,4 @@ object ForestChangeDiagnosticDF extends SummaryDF { "plantation_in_protected_areas_area" //plantationInProtectedAreasArea ) -} \ No newline at end of file +} diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticData.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticData.scala index 881a302e..0215d972 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticData.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticData.scala @@ -47,6 +47,10 @@ case class ForestChangeDiagnosticData( peat_area: ForestChangeDiagnosticDataDouble, /** OTBN category area */ arg_otbn_area: ForestChangeDiagnosticDataDoubleCategory, + /** Detailed WDPA category area */ + protected_areas_by_category_area: ForestChangeDiagnosticDataDoubleCategory, + /** Indigenous area (from Landmark dataset) */ + landmark_by_category_area: ForestChangeDiagnosticDataDoubleCategory, brazil_biomes: ForestChangeDiagnosticDataDoubleCategory, /** IDN Forest Area */ idn_legal_area: ForestChangeDiagnosticDataDoubleCategory, @@ -135,6 +139,8 @@ case class ForestChangeDiagnosticData( protected_areas_area.merge(other.protected_areas_area), peat_area.merge(other.peat_area), arg_otbn_area.merge(other.arg_otbn_area), + protected_areas_by_category_area.merge(other.protected_areas_by_category_area), + landmark_by_category_area.merge(other.landmark_by_category_area), brazil_biomes.merge(other.brazil_biomes), idn_legal_area.merge(other.idn_legal_area), sea_landcover_area.merge(other.sea_landcover_area), @@ -310,6 +316,8 @@ object ForestChangeDiagnosticData { ForestChangeDiagnosticDataDoubleCategory.empty, ForestChangeDiagnosticDataDoubleCategory.empty, ForestChangeDiagnosticDataDoubleCategory.empty, + ForestChangeDiagnosticDataDoubleCategory.empty, + ForestChangeDiagnosticDataDoubleCategory.empty, ForestChangeDiagnosticDataDouble.empty, ForestChangeDiagnosticDataBoolean.empty, ForestChangeDiagnosticDataBoolean.empty, diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticGridSources.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticGridSources.scala index 0fdc566c..73627982 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticGridSources.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticGridSources.scala @@ -17,7 +17,6 @@ case class ForestChangeDiagnosticGridSources(gridTile: GridTile, kwargs: Map[Str val isPrimaryForest: PrimaryForest = PrimaryForest(gridTile, kwargs) val isPeatlands: Peatlands = Peatlands(gridTile, kwargs) val isIntactForestLandscapes2000: IntactForestLandscapes2000 = IntactForestLandscapes2000(gridTile, kwargs) - val protectedAreas: ProtectedAreas = ProtectedAreas(gridTile, kwargs) val seAsiaLandCover: SEAsiaLandCover = SEAsiaLandCover(gridTile, kwargs) val idnLandCover: IndonesiaLandCover = IndonesiaLandCover(gridTile, kwargs) val isSoyPlantedArea: SoyPlantedAreas = SoyPlantedAreas(gridTile, kwargs) @@ -28,6 +27,8 @@ case class ForestChangeDiagnosticGridSources(gridTile: GridTile, kwargs: Map[Str val isPlantation: PlantedForestsBool = PlantedForestsBool(gridTile, kwargs) val gfwProCoverage: GFWProCoverage = GFWProCoverage(gridTile, kwargs) val argOTBN: ArgOTBN = ArgOTBN(gridTile, kwargs) + val protectedAreasByCategory: DetailedProtectedAreas = DetailedProtectedAreas(gridTile, kwargs) + val landmark: Landmark = Landmark(gridTile, kwargs) def readWindow( @@ -35,58 +36,10 @@ case class ForestChangeDiagnosticGridSources(gridTile: GridTile, kwargs: Map[Str windowLayout: LayoutDefinition ): Either[Throwable, Raster[ForestChangeDiagnosticTile]] = { - for { - // Failure for any of these reads will result in function returning Left[Throwable] - // These are effectively required fields without which we can't make sense of the analysis - lossTile <- Either - .catchNonFatal(treeCoverLoss.fetchWindow(windowKey, windowLayout)) - .right - tcd2000Tile <- Either - .catchNonFatal( - treeCoverDensity2000.fetchWindow(windowKey, windowLayout) - ) - .right - - } yield { - // Failure for these will be converted to optional result and propagated with ForestChangeDiagnosticTile - val isPrimaryForestTile = isPrimaryForest.fetchWindow(windowKey, windowLayout) - val isPeatlandsTile = isPeatlands.fetchWindow(windowKey, windowLayout) - val isIntactForestLandscapes2000Tile = - isIntactForestLandscapes2000.fetchWindow(windowKey, windowLayout) - val wdpaTile = protectedAreas.fetchWindow(windowKey, windowLayout) - val seAsiaLandCoverTile = seAsiaLandCover.fetchWindow(windowKey, windowLayout) - val idnLandCoverTile = idnLandCover.fetchWindow(windowKey, windowLayout) - val isSoyPlantedAreasTile = isSoyPlantedArea.fetchWindow(windowKey, windowLayout) - val idnForestAreaTile = idnForestArea.fetchWindow(windowKey, windowLayout) - val isINDForestMoratoriumTile = isIDNForestMoratorium.fetchWindow(windowKey, windowLayout) - val prodesLossYearTile = prodesLossYear.fetchWindow(windowKey, windowLayout) - val braBiomesTile = braBiomes.fetchWindow(windowKey, windowLayout) - val isPlantationTile = isPlantation.fetchWindow(windowKey, windowLayout) - val gfwProCoverageTile = gfwProCoverage.fetchWindow(windowKey, windowLayout) - val argOTBNTile = argOTBN.fetchWindow(windowKey, windowLayout) - - - val tile = ForestChangeDiagnosticTile( - lossTile, - tcd2000Tile, - isPrimaryForestTile, - isPeatlandsTile, - isIntactForestLandscapes2000Tile, - wdpaTile, - seAsiaLandCoverTile, - idnLandCoverTile, - isSoyPlantedAreasTile, - idnForestAreaTile, - isINDForestMoratoriumTile, - prodesLossYearTile, - braBiomesTile, - isPlantationTile, - gfwProCoverageTile, - argOTBNTile - ) - - Raster(tile, windowKey.extent(windowLayout)) - } + val tile = ForestChangeDiagnosticTile( + windowKey, windowLayout, this + ) + Right(Raster(tile, windowKey.extent(windowLayout))) } } diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticRawDataGroup.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticRawDataGroup.scala index 93e95ab7..60247c81 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticRawDataGroup.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticRawDataGroup.scala @@ -24,10 +24,14 @@ case class ForestChangeDiagnosticRawDataGroup(umdTreeCoverLossYear: Int, cerradoBiomesPresence: Boolean, seAsiaPresence: Boolean, idnPresence: Boolean, - argPresence: Boolean) { + argPresence: Boolean, + protectedAreaByCategory: String, + landmarkByCategory: String, +) { /** Produce a partial ForestChangeDiagnosticData only for the loss year in this data group */ - def toForestChangeDiagnosticData(totalArea: Double): ForestChangeDiagnosticData = ForestChangeDiagnosticData( + def toForestChangeDiagnosticData(totalArea: Double): ForestChangeDiagnosticData = { + ForestChangeDiagnosticData( tree_cover_loss_total_yearly = ForestChangeDiagnosticDataLossYearly.fill( umdTreeCoverLossYear, totalArea, @@ -154,6 +158,9 @@ case class ForestChangeDiagnosticRawDataGroup(umdTreeCoverLossYear: Int, .fill(totalArea, isPeatlands), arg_otbn_area = ForestChangeDiagnosticDataDoubleCategory .fill(argOTBN, totalArea), + protected_areas_by_category_area = ForestChangeDiagnosticDataDoubleCategory + .fill(protectedAreaByCategory, totalArea), + landmark_by_category_area = ForestChangeDiagnosticDataDoubleCategory.fill(landmarkByCategory, totalArea), brazil_biomes = ForestChangeDiagnosticDataDoubleCategory .fill(braBiomes, totalArea), idn_legal_area = ForestChangeDiagnosticDataDoubleCategory @@ -223,5 +230,4 @@ case class ForestChangeDiagnosticRawDataGroup(umdTreeCoverLossYear: Int, commodity_threat_fires = ForestChangeDiagnosticDataLossYearly.empty ) } - - +} diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticSummary.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticSummary.scala index 76f86e5d..ecb39dcf 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticSummary.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticSummary.scala @@ -75,7 +75,6 @@ object ForestChangeDiagnosticSummary { val isPeatlands: Boolean = raster.tile.isPeatlands.getData(col, row) val isIntactForestLandscapes2000: Boolean = raster.tile.isIntactForestLandscapes2000.getData(col, row) - val wdpa: String = raster.tile.wdpaProtectedAreas.getData(col, row) val prodesLossYear: Int = { val loss = raster.tile.prodesLossYear.getData(col, row) if (loss != null) { @@ -102,7 +101,6 @@ object ForestChangeDiagnosticSummary { val isTreeCoverExtent30: Boolean = tcd2000 > 30 val isTreeCoverExtent90: Boolean = tcd2000 > 90 val isUMDLoss: Boolean = isTreeCoverExtent30 && umdTreeCoverLossYear > 0 - val isProtectedArea: Boolean = wdpa != "" val isProdesLoss: Boolean = prodesLossYear > 0 val southAmericaPresence = @@ -116,6 +114,26 @@ object ForestChangeDiagnosticSummary { val idnPresence = gfwProCoverage.getOrElse("Indonesia", false) val argPresence = gfwProCoverage.getOrElse("Argentina", false) + val protectedAreaCategory = raster.tile.protectedAreasByCategory.getData(col, row) + val isProtectedArea = (protectedAreaCategory != "") + + // Currently, only do the area intersection with the detailed WDPA categories + // if location is in Argentina. Similarly, only do area intersection with + // Landmark (indigenous territories) if in Argentina. + // With lazy tile loading, the landmark tiles are only loaded if + // argPresence is true. + val detailedWdpa = if (argPresence) + protectedAreaCategory + else + "" + // We will likely have different Landmark categories for other countries, but + // there is no distinction currently for Argentina, so we put all of the + // indigenous area into the "Not Reported" category. + val landmarkCategory = if (argPresence) + (if (raster.tile.landmark.getData(col, row)) "Not Reported" else "") + else + "" + val groupKey = ForestChangeDiagnosticRawDataGroup( umdTreeCoverLossYear, isUMDLoss, @@ -141,7 +159,9 @@ object ForestChangeDiagnosticSummary { cerradoBiomesPresence, seAsiaPresence, idnPresence, - argPresence + argPresence, + detailedWdpa, + landmarkCategory, ) val summaryData: ForestChangeDiagnosticRawData = diff --git a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticTile.scala b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticTile.scala index 26649710..2aef0e2f 100644 --- a/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticTile.scala +++ b/src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticTile.scala @@ -1,7 +1,7 @@ package org.globalforestwatch.summarystats.forest_change_diagnostic import geotrellis.raster.{CellGrid, CellType} -import org.globalforestwatch.layers._ +import geotrellis.layer.{LayoutDefinition, SpatialKey} /** * @@ -9,23 +9,30 @@ import org.globalforestwatch.layers._ * We can not use GeoTrellis MultibandTile because it requires all bands share a CellType. */ case class ForestChangeDiagnosticTile( - loss: TreeCoverLoss#ITile, - tcd2000: TreeCoverDensityPercent2000#ITile, - isPrimaryForest: PrimaryForest#OptionalITile, - isPeatlands: Peatlands#OptionalITile, - isIntactForestLandscapes2000: IntactForestLandscapes2000#OptionalITile, - wdpaProtectedAreas: ProtectedAreas#OptionalITile, - seAsiaLandCover: SEAsiaLandCover#OptionalITile, - idnLandCover: IndonesiaLandCover#OptionalITile, - isSoyPlantedArea: SoyPlantedAreas#OptionalITile, - idnForestArea: IndonesiaForestArea#OptionalITile, - isIDNForestMoratorium: IndonesiaForestMoratorium#OptionalITile, - prodesLossYear: ProdesLossYear#OptionalITile, - braBiomes: BrazilBiomes#OptionalITile, - isPlantation: PlantedForestsBool#OptionalITile, - gfwProCoverage: GFWProCoverage#OptionalITile, - argOTBN: ArgOTBN#OptionalITile - ) extends CellGrid[Int] { + windowKey: SpatialKey, + windowLayout: LayoutDefinition, + sources: ForestChangeDiagnosticGridSources, +) extends CellGrid[Int] { + + lazy val loss = sources.treeCoverLoss.fetchWindow(windowKey, windowLayout) + lazy val tcd2000 = sources.treeCoverDensity2000.fetchWindow(windowKey, windowLayout) + lazy val isPrimaryForest = sources.isPrimaryForest.fetchWindow(windowKey, windowLayout) + lazy val isPeatlands = sources.isPeatlands.fetchWindow(windowKey, windowLayout) + lazy val isIntactForestLandscapes2000 = + sources.isIntactForestLandscapes2000.fetchWindow(windowKey, windowLayout) + lazy val seAsiaLandCover = sources.seAsiaLandCover.fetchWindow(windowKey, windowLayout) + lazy val idnLandCover = sources.idnLandCover.fetchWindow(windowKey, windowLayout) + lazy val isSoyPlantedArea = sources.isSoyPlantedArea.fetchWindow(windowKey, windowLayout) + lazy val idnForestArea = sources.idnForestArea.fetchWindow(windowKey, windowLayout) + lazy val isIDNForestMoratorium = sources.isIDNForestMoratorium.fetchWindow(windowKey, windowLayout) + lazy val prodesLossYear = sources.prodesLossYear.fetchWindow(windowKey, windowLayout) + lazy val braBiomes = sources.braBiomes.fetchWindow(windowKey, windowLayout) + lazy val isPlantation = sources.isPlantation.fetchWindow(windowKey, windowLayout) + lazy val gfwProCoverage = sources.gfwProCoverage.fetchWindow(windowKey, windowLayout) + lazy val argOTBN = sources.argOTBN.fetchWindow(windowKey, windowLayout) + + lazy val protectedAreasByCategory = sources.protectedAreasByCategory.fetchWindow(windowKey, windowLayout) + lazy val landmark = sources.landmark.fetchWindow(windowKey, windowLayout) def cellType: CellType = loss.cellType diff --git a/src/test/resources/palm-32-fcd-output/part-00000-4a23d5d0-56c1-4840-8264-9b4a48a83e9c-c000.csv b/src/test/resources/palm-32-fcd-output/part-00000-3ab8957a-a317-4528-b92d-0f7ef8eab583-c000.csv similarity index 68% rename from src/test/resources/palm-32-fcd-output/part-00000-4a23d5d0-56c1-4840-8264-9b4a48a83e9c-c000.csv rename to src/test/resources/palm-32-fcd-output/part-00000-3ab8957a-a317-4528-b92d-0f7ef8eab583-c000.csv index 23a5d78c..61d99efd 100644 --- a/src/test/resources/palm-32-fcd-output/part-00000-4a23d5d0-56c1-4840-8264-9b4a48a83e9c-c000.csv +++ b/src/test/resources/palm-32-fcd-output/part-00000-3ab8957a-a317-4528-b92d-0f7ef8eab583-c000.csv @@ -1,2 +1,2 @@ -list_id location_id status_code location_error tree_cover_loss_total_yearly tree_cover_loss_primary_forest_yearly tree_cover_loss_peat_yearly tree_cover_loss_intact_forest_yearly tree_cover_loss_protected_areas_yearly tree_cover_loss_arg_otbn_yearly tree_cover_loss_sea_landcover_yearly tree_cover_loss_idn_landcover_yearly tree_cover_loss_soy_yearly tree_cover_loss_idn_legal_yearly tree_cover_loss_idn_forest_moratorium_yearly tree_cover_loss_prodes_yearly tree_cover_loss_prodes_wdpa_yearly tree_cover_loss_prodes_primary_forest_yearly tree_cover_loss_brazil_biomes_yearly tree_cover_extent_total tree_cover_extent_primary_forest tree_cover_extent_protected_areas tree_cover_extent_peat tree_cover_extent_intact_forest natural_habitat_primary natural_habitat_intact_forest total_area protected_areas_area peat_area arg_otbn_area brazil_biomes idn_legal_area sea_landcover_area idn_landcover_area idn_forest_moratorium_area south_america_presence legal_amazon_presence brazil_biomes_presence cerrado_biome_presence southeast_asia_presence indonesia_presence argentina_presence commodity_value_forest_extent commodity_value_peat commodity_value_protected_areas commodity_threat_deforestation commodity_threat_peat commodity_threat_protected_areas commodity_threat_fires -1 31 2 {"2001":1021.7622,"2002":851.014,"2003":310.1835,"2004":2169.8398,"2005":2325.3843,"2006":4162.4968,"2007":2968.7863,"2008":4015.4403,"2009":2002.9194,"2010":1173.7001,"2011":1703.6902,"2012":2838.0498,"2013":1841.7568,"2014":2468.7732,"2015":2028.9672,"2016":3344.8135,"2017":1026.7609,"2018":525.5327,"2019":618.7052,"2020":924.699,"2021":857.8225,"2022":560.0482} {"2001":154.8617,"2002":306.7253,"2003":92.3781,"2004":717.7405,"2005":1202.6952,"2006":1831.5766,"2007":1668.2764,"2008":1753.2317,"2009":797.282,"2010":454.5023,"2011":872.3613,"2012":1251.8543,"2013":1083.6799,"2014":1290.2177,"2015":1360.2574,"2016":2313.5001,"2017":286.2809,"2018":159.8557,"2019":162.3929,"2020":134.2652,"2021":167.4697,"2022":133.6506} {"2001":557.4251,"2002":236.2539,"2003":71.8566,"2004":741.25,"2005":957.52,"2006":1229.3335,"2007":1037.5018,"2008":891.235,"2009":486.4665,"2010":363.5759,"2011":411.9212,"2012":1078.9246,"2013":862.5621,"2014":974.783,"2015":942.4571,"2016":1472.8429,"2017":211.3403,"2018":144.7173,"2019":148.7917,"2020":142.3323,"2021":122.7372,"2022":94.914} {} {"2001":42.2692,"2002":228.1732,"2003":11.3743,"2004":3.9196,"2005":1.614,"2006":15.3711,"2007":4.4576,"2008":2.8437,"2009":4.765,"2010":7.9931,"2011":10.7597,"2012":8.1466,"2013":0.1537,"2014":8.5307,"2015":18.6758,"2016":139.2616,"2017":10.7596,"2018":0.3843,"2019":0.2306,"2020":0.0,"2021":0.0769,"2022":0.0} {} {"Rubber plantation":{"2001":3.0745,"2002":16.5256,"2003":36.0493,"2004":66.1791,"2005":73.4812,"2006":25.9797,"2007":5.9184,"2008":56.571,"2009":47.7317,"2010":33.3581,"2011":21.9825,"2012":52.9583,"2013":11.9137,"2014":42.2742,"2015":34.2038,"2016":63.4883,"2017":10.6839,"2018":24.4423,"2019":22.1363,"2020":10.4533,"2021":25.826,"2022":26.1332},"Secondary forest":{"2001":240.1012,"2002":352.6874,"2003":51.186,"2004":522.8408,"2005":879.6014,"2006":1310.6826,"2007":981.6686,"2008":756.8744,"2009":359.2934,"2010":232.485,"2011":575.4717,"2012":1110.4372,"2013":787.2514,"2014":772.2979,"2015":966.528,"2016":1571.8466,"2017":149.9382,"2018":89.3794,"2019":136.8781,"2020":121.8915,"2021":68.6318,"2022":99.681},"Agriculture":{"2001":3.151,"2002":9.1452,"2003":5.4563,"2004":53.8715,"2005":30.3561,"2006":22.9009,"2007":6.5323,"2008":10.9893,"2009":159.7649,"2010":38.7323,"2011":100.4403,"2012":104.3592,"2013":15.3698,"2014":35.8124,"2015":19.6734,"2016":38.1942,"2017":19.2886,"2018":10.5282,"2019":11.2197,"2020":7.9922,"2021":12.1419,"2022":9.2218},"Oil palm plantation":{"2001":389.5357,"2002":222.339,"2003":103.9797,"2004":96.4524,"2005":67.8614,"2006":368.7244,"2007":440.2632,"2008":428.9814,"2009":151.7946,"2010":184.5942,"2011":113.5139,"2012":263.0128,"2013":147.9443,"2014":88.3878,"2015":58.1061,"2016":70.7105,"2017":44.5029,"2018":31.2823,"2019":233.0475,"2020":526.052,"2021":395.9972,"2022":105.2237},"Swamp":{"2001":265.2372,"2002":112.4372,"2003":38.2726,"2004":648.495,"2005":548.2747,"2006":855.4703,"2007":1129.3025,"2008":2086.08,"2009":484.4962,"2010":300.1085,"2011":526.378,"2012":478.8799,"2013":482.4034,"2014":742.3953,"2015":446.518,"2016":539.8938,"2017":620.8959,"2018":204.1215,"2019":105.5176,"2020":122.2736,"2021":197.9767,"2022":240.6287},"Settlements":{"2001":0.1537,"2002":0.9992,"2003":0.0,"2004":0.6918,"2005":0.1537,"2006":1.1529,"2007":1.1529,"2008":0.538,"2009":1.0761,"2010":0.8455,"2011":1.1529,"2012":0.8454,"2013":0.0,"2014":0.6918,"2015":0.1537,"2016":0.2306,"2017":0.3843,"2018":0.0,"2019":0.1537,"2020":1.1529,"2021":1.3067,"2022":1.691},"Grassland/shrub":{"2001":59.3337,"2002":89.231,"2003":37.5821,"2004":445.7701,"2005":432.4583,"2006":514.3995,"2007":235.9463,"2008":500.7963,"2009":334.6362,"2010":269.6786,"2011":186.2981,"2012":378.8895,"2013":330.4736,"2014":424.3189,"2015":165.2413,"2016":151.5619,"2017":77.7013,"2018":84.6964,"2019":29.59,"2020":91.3842,"2021":53.8004,"2022":41.7326},"Primary 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