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11 to 19 of 19 Results
Mar 5, 2024
Solberg, Svein, 2024, "Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest", https://doi.org/10.18710/UZOUB0, DataverseNO, V1
Mapping and quantification of forest biomass change are key for forest management and for forests’ contribution to the global carbon budget. We explored the potential of covering this with repeated acquisitions with TanDEM-X. We used an eight-year period in a Tanzanian miombo woo...
TIFF Image - 309.0 MB - MD5: d153a93686c45fda75c5ed4c11e9045e
Ellipsoidal elevation 2020 based on TanDEM-X processing
TIFF Image - 309.0 MB - MD5: 182eb2224223164415f62b76484b8a29
TanDEM-X height change 2012-2020
dBASE Table for ESRI Shapefile - 642.3 KB - MD5: fb3e64c14ea296c9d63285da0a59c0bf
ESRI Shapefile - 408 B - MD5: d5ee89457a1f1302c91b057e5cb218c6
Shape - 1.5 MB - MD5: 4f5d4564ec24a1d7ad5f46bf6903f81d
The GEDI footprints used in the study, with the variables 'fid' = identifier of footprint; 'elev_lowes' = terrain height; 'agbd_se' = SE of AGB coming with the GEDI data; 'agbd' = AGB; 'dh_mean' = mean value of TanDEM-X height change; 'dem20_mean' = mean illopsoid elevation; 'dem...
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