Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Bingxin Bai"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103694- (2024)
Global climate change can significantly affect lake systems. However, our understanding of extreme events in lake water levels on a global scale remains relatively limited. In this study, we conducted a quantitative analysis of extreme water level ev
Externí odkaz:
https://doaj.org/article/fd754a4786ee40d4916e93ff83f14733
Publikováno v:
Exploration of Immunology, Vol 1, Iss 5, Pp 440-460 (2021)
The coronavirus disease 2019 (COVID-19) results from the infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and primarily affects the respiratory tissue. Since first reported from Wuhan, China in December 2019, the virus has re
Externí odkaz:
https://doaj.org/article/7e4a5c9c8e4f428da8695b4db6802d25
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102882- (2022)
Optical satellite-derived surface water monitoring is challenging because of the spatial gaps in images caused by clouds, cloud shadows, voids, etc. Here, an efficient method for filling gaps in time-series surface water images is proposed, based on
Externí odkaz:
https://doaj.org/article/f82eca0d2c584d898744082686fba925
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 3, Pp 450-464 (2021)
Obtaining near real-time road features is very important in emergent situations like flood and geological disaster cases. Remote sensing images with very high spatial resolution usually have many details in land use and land cover, which complicate t
Externí odkaz:
https://doaj.org/article/a12e532742b94d37bafc276726dac41b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 553-565 (2020)
Reliable poverty data are critical for regional economic analysis and policy making, especially considering that economic inequality and sustainable development are widespread social concerns. This article proposes a multitask learning model combinin
Externí odkaz:
https://doaj.org/article/27d0e00d340043f1b5c3d58374bc6351
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2546 (2022)
Remote sensing products, such as land cover data products, are essential for a wide range of scientific studies and applications, and their quality evaluation and relative comparison have become a major issue that needs to be studied. Traditional met
Externí odkaz:
https://doaj.org/article/c204309de69a47f6870b0ac7d6fd0658
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3900 (2020)
High spatio–temporal resolution remote sensing images are of great significance in the dynamic monitoring of the Earth’s surface. However, due to cloud contamination and the hardware limitations of sensors, it is difficult to obtain image sequenc
Externí odkaz:
https://doaj.org/article/61b816e1cc104131aa9f398211177a88
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 36 (2019)
Time series remote sensing images can be used to monitor the dynamic changes of forest lands. Due to consistent cloud cover and fog, a single sensor typically provides limited data for dynamic monitoring. This problem is solved by combining observati
Externí odkaz:
https://doaj.org/article/4c6b2beea54643fd904f30d970ffed73
Publikováno v:
Journal of Hydrology 616 (2023)
Journal of Hydrology, 616
Journal of Hydrology, 616
Optical remote sensing images are a common data sources for surface water monitoring, while they are easily contaminated by clouds, cloud shadows, terrain shadows, etc., resulting in spatial gaps in surface water images. This paper proposes a surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494faa0c1ad06e04bae1afc5288d0809
https://doi.org/10.1016/j.jhydrol.2022.128791
https://doi.org/10.1016/j.jhydrol.2022.128791
Publikováno v:
Earth System Science Data Discussions; 7/14/2023, p1-19, 19p