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May 2, 2025
Hagenbo, Andreas, 2025, "Maps of soil organic carbon stocks in Norwegian forests", https://doi.org/10.18710/CL5RSP, DataverseNO, V1
Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest floor (LFH layer), and (3) 0–30 cm into the mineral soil.
Plain Text - 4.4 KB - MD5: c171180ce0552439369be9f9d750c419
TIFF Image - 13.7 GB - MD5: 1cc9417569a780309fc3034e8df038ef
Spatial prediction of soil organic carbon stocks (0 - 1m) in Norwegian forests.
TIFF Image - 13.7 GB - MD5: 5784fb075b813e1be5a7ab0393743249
Spatial prediction of soil organic carbon stocks in the LFH layer in Norwegian forests.
TIFF Image - 13.7 GB - MD5: 25a1efb4320cb2e564023579ab02aec2
Spatial prediction of soil organic carbon stocks in the upper mineral soil layer (beneath the LFH layer) down to 30 cm depth.
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 woodland as a test case, having repeated TanDEM-X elevation data for this...
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
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