Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Water body extraction"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Employing deep learning techniques for the semantic segmentation of remote sensing images has emerged as a prevalent approach for acquiring information about water bodies. Yet, current models frequently fall short in accurately extracting wa
Externí odkaz:
https://doaj.org/article/728e2c8484db4a9d906c9cc026788fe2
Publikováno v:
Natural Hazards Research, Vol 4, Iss 1, Pp 8-19 (2024)
Drought and flood disasters occur frequently in the Poyang Lake basin during the flood season, making it significantly important to monitor the lake's flood season area using time-series remote sensing. This research employed multisource remote sensi
Externí odkaz:
https://doaj.org/article/8026a4b5aa6340539bed488125e262cb
Publikováno v:
IEEE Access, Vol 12, Pp 183444-183450 (2024)
River water body identification plays an important role in flood monitoring, urban planning, Thus, it attracts more interests of studying and investigating, especially based on remote sensing technology, The traditional NDWI (Normalized Difference Wa
Externí odkaz:
https://doaj.org/article/7f8668698acf4704b05afbe1a061d630
Publikováno v:
IEEE Access, Vol 12, Pp 149001-149017 (2024)
The extraction of lake water bodies from remote sensing images is vital for water resource management, environmental protection, climate change research, disaster monitoring, and land use planning. This study presents a novel model, AMFF-LWBENet (A L
Externí odkaz:
https://doaj.org/article/b04865480e3e43f4a1b55f5b553f3a47
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14471-14485 (2024)
Floods are among the world's worst natural disasters, causing significant damage to people, infrastructure, and the economy. Since synthetic aperture radar (SAR) can work in all weather and is not affected by clouds and rain, the use of SAR for flood
Externí odkaz:
https://doaj.org/article/98fa659d57684ef8a3cae0c60e4a8a41
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12138-12152 (2024)
Water body extraction is an essential mission in the field of semantic segmentation of remote sensing images. It plays a significant role in natural disaster prevention, water resources utilization, hydrological monitoring, and other territories. In
Externí odkaz:
https://doaj.org/article/685846f7eb174f3e817357dbdc24d737
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3876 (2024)
Dryland lakes are indispensable to regional water resource systems. Ebinur Lake, the largest saline lake in Xinjiang Uygur Autonomous Region, is vital for regional biodiversity and environmental stability but has been facing the predicament of gradua
Externí odkaz:
https://doaj.org/article/4489e2f5d10242188d040db70ad45b71
Autor:
Zhenfeng Su, Longwei Xiang, Holger Steffen, Lulu Jia, Fan Deng, Wenliang Wang, Keyu Hu, Jingjing Guo, Aile Nong, Haifu Cui, Peng Gao
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2749 (2024)
Land surface water is a key part in the global ecosystem balance and hydrological cycle. Remote sensing has become an effective tool for its spatio-temporal monitoring. However, remote sensing results exemplified in so-called water indices are subjec
Externí odkaz:
https://doaj.org/article/0e521bcc9dfe4f82a72afc44700a845e
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2770 (2024)
The study of the spatio-temporal distribution and evolution trends of water resources in large regions plays an important role in the study of regional water resource planning, regional economic and social development, and water disasters. In this st
Externí odkaz:
https://doaj.org/article/d37f490e88764f4dab3e86f2544d7342
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2579 (2024)
As one of the most important ecosystems, the water body is losing water during the rapid development of the city. To understand the impacts on water body change during the rapid urbanization period, this study combines data from the OpenStreetMap pla
Externí odkaz:
https://doaj.org/article/7ba3b8d0bc56420398eafed86bcd0aa3