全球淡水变量数据集:1公里网格
全球淡水变量
该数据集由标准化的1公里网格中的近乎全球的、空间上连续的和特定淡水的环境变量组成。我们沿HydroSHEDS河流网络为每个网格单元划定了子流域，并使用各种指标（平均值、最小值、最大值、范围、总和、反距离加权平均值和总和）对每个网格单元的上游环境（气候、地形、土地覆盖、地表地质和土壤）进行总结。随后对全球湖泊和湿地数据库中与河网相连的单个湖泊和水库的所有变量进行了平均。月度气候变量按照 "生物气候 "框架被归纳为19个长期气候变量。
全球淡水变量
该数据集由标准化的1公里网格中的近乎全球的、空间上连续的和特定淡水的环境变量组成。我们沿HydroSHEDS河流网络为每个网格单元划定了子流域，并使用各种指标（平均值、最小值、最大值、范围、总和、反距离加权平均值和总和）对每个网格单元的上游环境（气候、地形、土地覆盖、地表地质和土壤）进行总结。随后对全球湖泊和湿地数据库中与河网相连的单个湖泊和水库的所有变量进行了平均。月度气候变量按照 "生物气候 "框架被归纳为19个长期气候变量。
Paper citation
Domisch, S., Amatulli, G., and Jetz, W. (2015) Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution.
Scientific Data 2:150073 doi:10.1038/sdata.2015.73
Earth Engine Snippet
var annual_air_temperature_range_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/annual_air_temperature_range_avg");
var annual_sum_of_precipitation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/annual_sum_of_precipitation_avg");
var barren_lands_sparse_vegetation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/barren_lands_sparse_vegetation_avg");
var catchment_size_sum = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/catchment_size_sum");
var cultivated_and_managed_vegetation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/cultivated_and_managed_vegetation_avg");
var deciduous_broadleaf_trees_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/deciduous_broadleaf_trees_avg");
var elevation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/elevation_avg");
var elevation_range = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/elevation_range");
var evergreen_broadleaf_trees_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/evergreen_broadleaf_trees_avg");
var evergreen_deciduous_needleleaf_trees_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/evergreen_deciduous_needleleaf_trees_avg");
var herbaceous_vegetation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/herbaceous_vegetation_avg");
var mean_annual_air_temperature_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/mean_annual_air_temperature_avg");
var mixed_other_trees_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/mixed_other_trees_avg");
var open_water_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/open_water_avg");
var precambrian_surface_lithology_wsum = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/precambrian_surface_lithology_wsum");
var precipitation_seasonality_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/precipitation_seasonality_avg");
var quaternary_surface_lithology_wsum = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/quaternary_surface_lithology_wsum");
var regularly_flooded_shrub_herbaceous_vegetation_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/regularly_flooded_shrub_herbaceous_vegetation_avg");
var shrubs_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/shrubs_avg");
var slope_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/slope_avg");
var slope_range = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/slope_range");
var snow_ice_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/snow-ice_avg");
var stream_length_sum = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/stream_length_sum");
var urban_builtup_avg = ee.Image("projects/sat-io/open-datasets/global_freshwater_variables/urban_builtup_avg");
Sample Code:
License
EarthEnv Near-global environmental information for freshwater ecosystems in 1km resolution Version 1 by Domisch et al. is licensed under a “Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License”. Permissions beyond the scope of this license may be available at .
Dataset citation
Domisch, S., Amatulli, G., and Jetz, W. (2015) Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution.
Scientific Data 2:150073 doi: 10.1038/sdata.2015.73. Data available online at http://www.earthenv.org/.
Project Website:
App Website:
Curated by: Samapriya Roy
Keywords: Earthenv, stream length, urban builtup, slope, shrubs, precambrian surface lithology, barren_lands, precipitation seasonality, herbaceous vegetation
Last updated: 2021-05-09
Paper citation
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Earth Engine Snippet
Sample Code:
License
EarthEnv Near-global environmental information for freshwater ecosystems in 1km resolution Version 1 by Domisch et al. is licensed under a “Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License”. Permissions beyond the scope of this license may be available at .
Dataset citation
Project Website:
App Website:
Curated by: Samapriya Roy
Keywords: Earthenv, stream length, urban builtup, slope, shrubs, precambrian surface lithology, barren_lands, precipitation seasonality, herbaceous vegetation
Last updated: 2021-05-09
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