Beyond ‘greening’ and ‘browning’: trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation
收藏Mendeley Data2024-04-13 更新2024-06-27 收录
下载链接:
https://datadryad.org/stash/dataset/doi:10.5061/dryad.hmgqnk9nt
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资源简介:
The complete dataset comprises six GeoTIFF files in ZSTD compression with three bands each describing 2002-2020 trends in grassland ground cover fractions: [1] AR trend, [2] P-value of the AR trend, [3] strength of temporal autocorrelation. Scale factor for each band is 10000 - GV: 2002-2020 trends in green vegetation ground cover fraction- NPV: 2002-2020 trends in non-photosynthetic vegetation ground cover fraction- SOIL: 2002-2020 trends in soil ground cover fraction- GV_over_NPV: 2002-2020 trends in a ratio of green vegetation ground cover fraction over non-photosynthetic vegetation fraction- GV_over_SOIL: 2002-2020 trends in a ratio of green vegetation ground cover fraction over a soil fraction- GVNPV_over_SOIL: 2002-2020 trends in a ratio of a sum of green vegetation and non-photosynthetic vegetation fractions over soil ground cover fraction `METADATA:Driver: GTiff/GeoTIFF (ZSTD compression)Size is 22596, 5101Coordinate System is:GEOGCS["WGS 84", DATUM["WGS_1984", SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433], AUTHORITY["EPSG","4326"]]Origin = (26.239789449000000,57.065478423000002)Pixel Size = (0.004491576420605,-0.004491576420506)Metadata: AREA_OR_POINT=AreaImage Structure Metadata: COMPRESSION=ZSTD INTERLEAVE=PIXELCorner Coordinates:Upper Left ( 26.2397894, 57.0654784) ( 26d14'23.24"E, 57d 3'55.72"N)Lower Left ( 26.2397894, 34.1539471) ( 26d14'23.24"E, 34d 9'14.21"N)Upper Right ( 127.7314502, 57.0654784) (127d43'53.22"E, 57d 3'55.72"N)Lower Right ( 127.7314502, 34.1539471) (127d43'53.22"E, 34d 9'14.21"N)Center ( 76.9856198, 45.6097128) ( 76d59' 8.23"E, 45d36'34.97"N)
创建时间:
2023-06-28



