Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dongjae Kwon"'
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 824 (2019)
With continued threat from climate change and human impacts, high-resolution and continuous hydrologic data accessibility has a paramount importance for predicting trends and availability of water resources. This study presents a novel machine learni
Externí odkaz:
https://doaj.org/article/97bd07e024e94fab9f91d85f87b164c6
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Autor:
Wondwosen M. Seyoum, Dongjae Kwon
Publikováno v:
Hydrological Sciences Journal. 65:2233-2248
Streamflow modeling is essential to investigate processes in the hydrologic cycle and important for water resource management application. However, in-situ hydrologic data paucity, because of vario...
Publikováno v:
Geological Society of America Abstracts with Programs.
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 824 (2019)
Remote Sensing; Volume 11; Issue 7; Pages: 824
Remote Sensing; Volume 11; Issue 7; Pages: 824
With continued threat from climate change and human impacts, high-resolution and continuous hydrologic data accessibility has a paramount importance for predicting trends and availability of water resources. This study presents a novel machine learni