Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dhruva Kathuria"'
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss , Pp 100016- (2021)
Irrigated agriculture in the Rio Grande region faces water management related challenges due to climate variability and rise in non-agricultural water demand. Scientific irrigation scheduling (SIS) tools allow growers to optimize the water use and co
Externí odkaz:
https://doaj.org/article/7cb19810678246f0a3ea815ff9addfc6
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss, Pp 100016-(2021)
Irrigated agriculture in the Rio Grande region faces water management related challenges due to climate variability and rise in non-agricultural water demand. Scientific irrigation scheduling (SIS) tools allow growers to optimize the water use and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb2febd62f2c846893732eaf39cf3a51
http://www.sciencedirect.com/science/article/pii/S2772375521000162
http://www.sciencedirect.com/science/article/pii/S2772375521000162
Publikováno v:
Water Resources Research. 55:10443-10465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d61d05c5feb307004c206b9efc8f31c
https://doi.org/10.1029/2018wr024581
https://doi.org/10.1029/2018wr024581
Publikováno v:
Water Resources Research. 55:6986-7009
As the most recent 3 km soil moisture product from the Soil Moisture Active Passive (SMAP) mission, the SMAP/Sentinel-1 L2_SM_SP product has a unique capability to provide global-scale 3 km soil moisture estimates through the fusion of radar and radi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66af5a9524ea2fcef1ce4243f31b9437
https://doi.org/10.1029/2019wr024902
https://doi.org/10.1029/2019wr024902
Publikováno v:
Water Resources Research. 55:729-753
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67047c32d996fc59dc54d8c19131168
https://doi.org/10.1029/2018wr023505
https://doi.org/10.1029/2018wr023505
The past six decades has seen an explosive growth in remote sensing data across air, land, and water dramatically improving predictive capabilities of physical models and machine-learning (ML) algo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72c790da33dbb52a540148c4a0316fe9
https://doi.org/10.1002/essoar.10506409.2
https://doi.org/10.1002/essoar.10506409.2
As the most recent 3 km soil moisture product from the Soil Moisture Active Passive (SMAP) mission, the SMAP/Sentinel-1 L2_SM_SP product has a unique capability to provide global-scale 3 km soil moisture estimates through the fusion of radar and radi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e727b39175ec3eef4c978430971a1401
https://eartharxiv.org/ce865
https://eartharxiv.org/ce865