Zobrazeno 1 - 10
of 124
pro vyhledávání: '"surface water mapping"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Optical satellite imaging for surface water mapping often encounters significant challenges owing to persistent spatial data gaps caused by clouds, shadows, and sensor errors. This study presents a novel Stepwise Gap-Filling (SGF) method, designed to
Externí odkaz:
https://doaj.org/article/7852c962ced647ac9dea7ebdc4c2c6aa
Autor:
Shanchuan Guo, Yu Chen, Peng Zhang, Wei Zhang, Pengfei Tang, Hong Fang, Junshi Xia, Peijun Du
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104155- (2024)
The dynamics of surface water in the Yangtze Plain is complex, influenced by the coupled impacts of climate change and intensifying human activities. However, remote sensing observations often encounter challenges in this region due to persistent clo
Externí odkaz:
https://doaj.org/article/2beaf64bc9994f47811fc93b8db36127
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1372-1394 (2023)
The surface water in the Qinghai–Tibet Plateau (QTP) region has undergone dramatic changes in recent decades. To capture dynamic surface water information, many satellite imagery-based methods have been proposed. However, these methods are still li
Externí odkaz:
https://doaj.org/article/49b73615685649899eff6e79954bf566
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4038 (2024)
Surface water fraction mapping is an essential preprocessing step for the subpixel mapping (SPM) of surface water, providing valuable prior knowledge about surface water distribution at the subpixel level. In recent years, spectral mixture analysis (
Externí odkaz:
https://doaj.org/article/16e6f21191e34d58b263bbbda9a422e9
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103529- (2023)
Surface water mapping based on historical, neighbourhood, and other priori information has shown improved accuracy. However, the accuracy can be compromised due to the lack of consideration for water dynamics in the proximity period and the limited u
Externí odkaz:
https://doaj.org/article/7f2b7f656e1f48f9bf5bf3fae53488a0
Autor:
Haiyan Pan, Haoxin Chen, Zhonghua Hong, Xianglei Liu, Runjie Wang, Ruyan Zhou, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang, Zhenling Ma
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9207-9222 (2023)
Accurate surface water mapping is crucial for monitoring and protecting ecosystem environments. During the past decades, several water extraction methods have been presented and significant progress has been made. However, most of the existing resear
Externí odkaz:
https://doaj.org/article/f50e438f3a934ad5bbc2f808452773c2
Autor:
Kel N. Markert, Gustavious P. Williams, E. James Nelson, Daniel P. Ames, Hyongki Lee, Robert E. Griffin
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1262 (2024)
Surface water is a vital component of the Earth’s water cycle and characterizing its dynamics is essential for understanding and managing our water resources. Satellite-based remote sensing has been used to monitor surface water dynamics, but cloud
Externí odkaz:
https://doaj.org/article/b2de3a8d620448ec94c8ae1a3485b844
Autor:
Fabien H. Wagner, Samuel Favrichon, Ricardo Dalagnol, Mayumi C. M. Hirye, Adugna Mullissa, Sassan Saatchi
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1056 (2024)
The Amazon, the world’s largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reached its lowest level in a century in October 2023. Here, we used a U-net deep learning model to map wat
Externí odkaz:
https://doaj.org/article/f6c0effdaef14f1288407c55361eed60
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Akademický článek
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