Zobrazeno 1 - 10
of 4 322
pro vyhledávání: '"Water body"'
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
Autor:
D. Kobiakow
Publikováno v:
Ribogospodarsʹka Nauka Ukraïni, Vol 68, Iss 2, Pp 115-131 (2024)
Purpose. To investigate the current state of nearshore and pelagic communities of ichthyofauna of an artificial water body: Lake Kotlovan in the city of Dnipro. To develop a set of recommendations and bioreclamation measures to improve and maintain a
Externí odkaz:
https://doaj.org/article/d5b612b28f73470084f67b112f344a5c
Autor:
Yu Guo, Ruru Deng, Yan Yan, Jiayi Li, Zhenqun Hua, Jing Wang, Yuming Tang, Bin Cao, Yeheng Liang
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 382-391 (2024)
The atmospheric correction of hyperspectral data stands as a fundamental step in quantitative applications, crucial for the accurate analysis of hyperspectral information. Zhuhai-1 hyperspectral data, characterized by its high spatial and spectral re
Externí odkaz:
https://doaj.org/article/b11af8fb84be4a568bb84b5b82d46f16
Autor:
Emanuele Ferrentino, Marco Polcari, Francesca Silverii, Christian Bignami, Ferdinando Nunziata, Salvatore Stramondo, Maurizio Migliaccio
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104095- (2024)
This study addresses the drought phenomenon that affected the Po River, north of Italy, by jointly exploiting methods based on measurements remotely sensed by the European Sentinel-1 C-band Synthetic Aperture Radar (SAR) and meteo-climatological info
Externí odkaz:
https://doaj.org/article/fcccb139f297490ca37bc1fd07e176dd
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104078- (2024)
Remote sensing of optically complex inland waterbodies is challenging due to the complex nonlinear correlation between water quality parameters and water optical properties. However, integration of deep learning techniques and representative datasets
Externí odkaz:
https://doaj.org/article/31abd8c06a6743ad9e8522db48733be2
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
Autor:
Dengfeng ZHANG, Jianwei SUN
Publikováno v:
Kuangchan zonghe liyong, Vol 45, Iss 1, Pp 109-119 (2024)
This is an article in the field of mining environment. Rivers are the main migration paths and convergence places of heavy metals produced in the process of mineral resources development. The impact of mineral resources development in Xiongershan ore
Externí odkaz:
https://doaj.org/article/4dbed0b8a8fb4f10a76247ab39aafc57
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4966-4985 (2024)
Water-body type problems classification plays a vital role in ecological conservation, water resource management, and urban planning. Accurate classification can aid decision-makers in understanding the functions of different water-body types, provid
Externí odkaz:
https://doaj.org/article/12f6b50cb8aa42f4a72017c2ac3a5dbc