Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation practices. These measures will need to consider landscape hydrology, distributions of soil types, land cover, and crop distributions in an integrated manner. The two most consistent challenges to these efforts will be consistency and reliability of data, and the capacity to translate conservation planning from watershed to farm and field scales. The translation of scale is required because, while conservation practices can be planned based on a watershed scale framework, they must be implemented by landowners in specific fields and riparian sites that are under private ownership. To support these goals, it has been necessary to develop planning approaches, high-resolution spatial datasets, and conservation practice assessment tools that will allow the agricultural and conservation communities to characterize and mitigate these challenges. The field boundary dataset represents a spatial framework for assembling and maintaining geospatial data to support conservation planning at the scale where conservation practices are implemented. This field boundaries dataset has been assembled to support field-scale agricultural conservation planning using the USDA/ARS Agricultural Conservation Planning Framework (ACPF). The original data used to create this database are the pre-2008 Farm Bill FSA common land unit (CLU) datasets. A portion of metadata found herein pertains to the USDA FSA CLU. The remaining information has been developed to reflect the repurposing of the data in its aggregated form. It is important to note that all USDA programmatic and ownership information that was associated with the original data have been removed. Beyond that, these data has been extensively edited to reflect crop-specific land use consistent with 2009 land cover as derived from 2009 NASS Crop Data Layer datasets and 2009 aerial photography, and no longer reflects discrete ownership patterns. The ACPF field boundaries feature class incorporates two additional resources that form the Illinois ACPF Land Use database. The Illinois ACPF Fields Crop History table holds the dominant land use class, derived from the NASS CDL, for individual fields from 2010 to 2020. The Illinois ACPF Land Use table hold summary land use information for individual fields for 2015 to 2020 including an assigned General Land Use (GenLU) that represent the cropping system over that period. In lieu of a data dictionary for these resources, each dataset has a FGDC-compliant metadata file using the North American ISO 19115-2003 profile in .xml format. For more information about this dataset contact David E. James at davide.james@usda.gov or dejames@iastate.edu Resources in this dataset:Resource Title: Illinois ACPF Crop History 2010-2020. File Name: IL_ACPFfields_CropHistory2010_2020.pdfResource Description: Illinois ACPF Crop History 2010-2020Resource Software Recommended: Adobe Acrobat,url: www.adobe.com Resource Title: Illinois ACPF Land Use 2015-2020. File Name: IL_ACPFfields_LandUse2015_2020.pdfResource Description: Illinois ACPF Land Use 2015-2020Resource Software Recommended: Adobe Acrobat,url: www.esri.com Resource Title: Illinois Field Boundaries 2020. File Name: IL_ACPFfields2020.pdfResource Description: Illinois Field Boundaries 2020 metadataResource Software Recommended: Adobe Acrobat,url: www.adobe.com Resource Title: Agricultural land use by field: Illinois 2010-2020. File Name: Illinois_ACPFfields2020.zipResource Description: This field boundaries dataset has been assembled to support field-scale agricultural conservation planning using the USDA/ARS Agricultural Conservation Planning Framework (ACPF).Resource Software Recommended: ESRI's ArcGIS,url: www.esri.com

A set of three estimates of land-cover types and annual transformations of land use are provided on a global 0.5 x0.5 degree lat/lon grid at annual time steps. The longest of the three estimates spans 1770-2010. The dataset presented here takes into account land-cover change due to four major land-use/management activities: (1) cropland expansion and abandonment, (2) pastureland expansion and abandonment, (3) urbanization, and (4) secondary forest regrowth due to wood harvest. Due to uncertainties associated with estimating historical agricultural (crops and pastures) land use, the study uses three widely accepted global reconstruction of cropland and pastureland in combination with common wood harvest and urban land data set to provide three distinct estimates of historical land-cover change and underlying land-use conversions. Hence, these distinct historical reconstructions offer a wide range of plausible regional estimates of uncertainty and extent to which different ecosystem have undergone changes. The three estimates use a consistent methodology, and start with a common land-cover map during pre-industrial conditions (year 1765), taking different courses as determined by the land-use/management datasets (cropland, pastureland, urbanization and wood harvest) to attain forest area distributions close to satellite estimates of forests for contemporary period. The satellite based estimates of forest area are based on MODIS sensor. All data uses the WGS84 spatial coordinate system for mapping.

Historic Land Cover Change, Area Vegetation, Hyde latitude_bounds Dimensioned By latitude, bounds. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention acknowledgement=This work was supported by National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change Program (No. NNX08AK75G) cdm_data_type=Grid Comment=Cropland and Pastureland Data Source used in this netcdf file: HYDE 3.1 contributor_role=Principle Investigator and originator Conventions=CF-1.4 data_set_progress=complete geospatial_lat_max=89.75 geospatial_lat_min=-89.75 geospatial_lat_resolution=0.5 geospatial_lat_units=degrees_north history=FMRC Best Dataset id=land-cover_hyde_landcover_yr2009.nc infoUrl=https://www.ncei.noaa.gov/thredds/catalog/ncFC/sat/landcover-HYDEAREAVEG-fc/catalog.html?dataset=ncFC/sat/landcover-HYDEAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HYDE_AREAVEG_Feature_Collection_best.ncd institution=University of Illinois at Urbana-Champaign Keywords=EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > AFFORESTATION/REFORESTATION, EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > REFORESTATION, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > AGRICULTURAL LANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > DESERTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > GRASSLANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > SHRUBLAND/SCRUB, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > URBAN LANDS, EARTH SCIENCE > BIOSPHERE > VEGETATION > AFFORESTATION/REFORESTATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES, EARTH SCIENCE > BIOSPHERE > VEGETATION > EVERGREEN VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER, EARTH SCIENCE > BIOSPHERE > VEGETATION > REFORESTATION, EARTH SCIENCE > HUMAN DIMENSIONS > HUMAN SETTLEMENTS > URBAN AREAS, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE/LAND COVER CLASSIFICATION, EARTH SCIENCE > LAND SURFACE > LANDSCAPE > REFORESTATION keywords_vocabulary=NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 8.0 location=Proto fmrc:Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HYDE_AREAVEG_Feature_Collection metadata_link=gov.noaa.ncdc:C00814 naming_authority=gov.noaa.ncdc Northernmost_Northing=89.75 references=https://dx.doi.org/10.1007/s11707-012-0314-2, https://dx.doi.org/10.1111/gcb.12207 source=model sourceUrl=https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-HYDEAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HYDE_AREAVEG_Feature_Collection_best.ncd Southernmost_Northing=-89.75 spatial_coverage=Global spatial_domain=land only; all ocean grid cells have been filled with the specified missing values spatial_resolution=0.5x0.5 degrees lat/lon standard_name_vocabulary=CF Standard name Table (v25, 05 July 2013) time_coverage_duration=one year time_coverage_resolution=yearly vertical_levels=surface observations years_of_record=1770/01 -2010/12

Gridded forest composition data for Minnesota, Wisconsin, Michigan, and portions of Illinois and Indiana from survey notes from the Public Land Survey System (PLSS), prior to widespread land use conversion by EuroAmerican settlers. The Public Land Survey System in this region was carried out from approx. 1800 - 1904, in a time transgressive manner from east to west. Trees identified at section and quartersection points within the PLSS are aggregated to a regular 8km grid on a Great Lakes St. Lawrence Albers projection (EPSG:3175). For all points only the closest two trees are used in estimating composition and then summed within the 8km grid cell. The raw count of trees is reported, including "No trees" where surveyors found no trees within 300 links of the point. Methods and data are described in Goring et al., 2015 (http://biorxiv.org/content/early/2015/10/24/026575), except for data from Illinois and Indiana which are described in the methods below. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

This polygon coverage depicts historical vegetation in the Rogue, lower Applegate, and Illinois valleys, Oregon. It is based on land survey data recorded by General Land Office (GLO) surveyors between 1854 and 1919, including township and section line data.

This dataset provides an additional "Grazing Potential" land use class to the previously published U.S. Geological Survey (USGS) National Water-Quality Program (NAWQA) Wall-to-Wall Anthropogenic Land-use Trends (NWALT) product (Falcone, 2015, USGS Data Series 948). As with the NWALT, the dataset consists of five national 60-m land use grids, for the years 1974, 1982, 1992, 2002, 2012. The only change to the dataset is, for every year, some pixels which are class 50 "Low-use" in the NWALT, are reclassified to a new class 46 "Grazing Potential Expanded". The purpose of the re-classification is to identify areas which are likely to have had at least some grazing activity based on agreement of historical land cover/use datasets, and not already captured as another land use class by the original NWALT. The re-classification occurred as follows: pixel would otherwise be in class 50 (Low Use), is in an Agriculture or Grazed class in Marschner and Anderson (1967), is in an Agriculture or Rangeland class in 1970s-era GIRAS, and is in a Grassland/Herbaceous class (71) in the NLCD 2011, without restrictions to proximity to water or slope. Falcone, J.A., 2015, U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012: U.S. Geological Survey Data Series 948, 33 p. plus appendixes 3–6 as separate files, http://dx.doi.org/10.3133/ds948. Marschner, F.J. and Anderson, J.R., 1967, Major land uses in the United States, U.S. Geological Survey, http://water.usgs.gov/GIS/metadata/usgswrd/XML/na70_landuse.xml

Historic Land Cover Change, Area Vegetation, RF time_bounds Dimensioned By time, bounds_dim. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention acknowledgement=This work was supported by National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change Program (No. NNX08AK75G) cdm_data_type=Grid Comment=Cropland and Pastureland Data Source used in this netcdf file: Updated estimates based on Ramankutty and Foley (1999) contributor_role=Principle Investigator and originator Conventions=CF-1.4 data_set_progress=complete history=FMRC Best Dataset id=land-cover_rf_landcover_yr2006.nc infoUrl=https://www.ncei.noaa.gov/thredds/catalog/ncFC/sat/landcover-RFAREAVEG-fc/catalog.html?dataset=ncFC/sat/landcover-RFAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_RF_AREAVEG_Feature_Collection_best.ncd institution=University of Illinois at Urbana-Champaign Keywords=EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > AFFORESTATION/REFORESTATION, EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > REFORESTATION, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > AGRICULTURAL LANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > DESERTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > GRASSLANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > SHRUBLAND/SCRUB, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > URBAN LANDS, EARTH SCIENCE > BIOSPHERE > VEGETATION > AFFORESTATION/REFORESTATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES, EARTH SCIENCE > BIOSPHERE > VEGETATION > EVERGREEN VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER, EARTH SCIENCE > BIOSPHERE > VEGETATION > REFORESTATION, EARTH SCIENCE > HUMAN DIMENSIONS > HUMAN SETTLEMENTS > URBAN AREAS, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE/LAND COVER CLASSIFICATION, EARTH SCIENCE > LAND SURFACE > LANDSCAPE > REFORESTATION keywords_vocabulary=NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 8.0 location=Proto fmrc:Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_RF_AREAVEG_Feature_Collection metadata_link=gov.noaa.ncdc:C00814 naming_authority=gov.noaa.ncdc references=https://dx.doi.org/10.1007/s11707-012-0314-2, https://dx.doi.org/10.1111/gcb.12207 source=model sourceUrl=https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-RFAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_RF_AREAVEG_Feature_Collection_best.ncd spatial_coverage=Global spatial_domain=land only; all ocean grid cells have been filled with the specified missing values spatial_resolution=0.5x0.5 degrees lat/lon standard_name_vocabulary=CF Standard name Table (v25, 05 July 2013) time_coverage_duration=one year time_coverage_end=2008-01-01T00:00:00Z time_coverage_resolution=yearly time_coverage_start=1771-01-01T00:00:00Z vertical_levels=surface observations years_of_record=1770/01 -2007/12

These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

Israel IL: Urban Land Area data was reported at 6,399.020 sq km in 2010. This stayed constant from the previous number of 6,399.020 sq km for 2000. Israel IL: Urban Land Area data is updated yearly, averaging 6,399.020 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 6,399.020 sq km in 2010 and a record low of 6,399.020 sq km in 2010. Israel IL: Urban Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Urban land area in square kilometers, based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

Israel IL: Agricultural Land data was reported at 5,339.000 sq km in 2015. This records a decrease from the previous number of 5,377.000 sq km for 2014. Israel IL: Agricultural Land data is updated yearly, averaging 5,339.000 sq km from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 5,790.000 sq km in 1994 and a record low of 5,045.000 sq km in 2010. Israel IL: Agricultural Land data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.; ; Food and Agriculture Organization, electronic files and web site.; Sum;

Israel IL: Arable Land: Hectares per Person data was reported at 0.035 ha in 2015. This records a decrease from the previous number of 0.037 ha for 2014. Israel IL: Arable Land: Hectares per Person data is updated yearly, averaging 0.076 ha from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 0.146 ha in 1961 and a record low of 0.035 ha in 2013. Israel IL: Arable Land: Hectares per Person data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

Israel IL: Agricultural Land: % of Land Area data was reported at 24.672 % in 2015. This records a decrease from the previous number of 24.848 % for 2014. Israel IL: Agricultural Land: % of Land Area data is updated yearly, averaging 24.672 % from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 26.756 % in 1994 and a record low of 23.313 % in 2010. Israel IL: Agricultural Land: % of Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

Israel IL: Rural Land Area Where Elevation is Below 5 Meters: % of Total Land Area data was reported at 0.106 % in 2010. This stayed constant from the previous number of 0.106 % for 2000. Israel IL: Rural Land Area Where Elevation is Below 5 Meters: % of Total Land Area data is updated yearly, averaging 0.106 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.106 % in 2010 and a record low of 0.106 % in 2010. Israel IL: Rural Land Area Where Elevation is Below 5 Meters: % of Total Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Rural land area below 5m is the percentage of total land where the rural land elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Israel IL: Rural Land Area Where Elevation is Below 5 Meters data was reported at 23.427 sq km in 2010. This stayed constant from the previous number of 23.427 sq km for 2000. Israel IL: Rural Land Area Where Elevation is Below 5 Meters data is updated yearly, averaging 23.427 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 23.427 sq km in 2010 and a record low of 23.427 sq km in 2010. Israel IL: Rural Land Area Where Elevation is Below 5 Meters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

Israel IL: Rural Land Area data was reported at 15,621.783 sq km in 2010. This stayed constant from the previous number of 15,621.783 sq km for 2000. Israel IL: Rural Land Area data is updated yearly, averaging 15,621.783 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 15,621.783 sq km in 2010 and a record low of 15,621.783 sq km in 2010. Israel IL: Rural Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

Israel IL: Forest Area: % of Land Area data was reported at 7.625 % in 2015. This records an increase from the previous number of 7.523 % for 2014. Israel IL: Forest Area: % of Land Area data is updated yearly, averaging 7.112 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 7.625 % in 2015 and a record low of 6.100 % in 1990. Israel IL: Forest Area: % of Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

Israel IL: Arable Land: % of Land Area data was reported at 13.734 % in 2015. This records a decrease from the previous number of 13.886 % for 2014. Israel IL: Arable Land: % of Land Area data is updated yearly, averaging 15.018 % from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 16.128 % in 2002 and a record low of 13.207 % in 2013. Israel IL: Arable Land: % of Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

Israel IL: Arable Land data was reported at 297,200.000 ha in 2015. This records a decrease from the previous number of 300,500.000 ha for 2014. Israel IL: Arable Land data is updated yearly, averaging 325,000.000 ha from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 349,000.000 ha in 2002 and a record low of 285,800.000 ha in 2013. Israel IL: Arable Land data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Land Use, Protected Areas and National Wealth. Arable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.; ; Food and Agriculture Organization, electronic files and web site.; ;