Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing ; day:30 ; month:09 ; year:2022 ; pages:1-33 ; extent:33
Biogeosciences discussions ; (30.09.2022), 1-33 (gesamt 33)
- Creator
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Dannenberg, Matthew P.
Barnes, Mallory L.
Smith, William K.
Johnston, Miriam R.
Meerdink, Susan K.
Wang, Xian
Scott, Russell L.
Biederman, Joel A.
- DOI
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10.5194/bg-2022-186
- URN
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urn:nbn:de:101:1-2022100605223487688329
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:37 AM CEST
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Associated
- Dannenberg, Matthew P.
- Barnes, Mallory L.
- Smith, William K.
- Johnston, Miriam R.
- Meerdink, Susan K.
- Wang, Xian
- Scott, Russell L.
- Biederman, Joel A.
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UP-SCALING PADDY YIELD AT SATELLITE-FOOTPRINT SCALE USING SATELLITE DATA IN CONJUNCTION WITH CCE DATA IN SAHIBGANJ DISTRICT, JHARKHAND
Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing
Extreme sediment fluxes in a dryland flash flood
Forecasting dryland vegetation condition months in advance through satellite data assimilation
Measurement and modelling of water and sediment fluxes in meso-scale dryland catchments
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