Zobrazeno 1 - 10
of 1 012
pro vyhledávání: '"sentinel-3"'
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100148- (2024)
This paper describes the selected algorithm for the ESA climate change initiative vegetation parameters project. Multi- and hyper-spectral, multi-angular, or multi-sensor top-of-canopy reflectance data call for an efficient generic retrieval system w
Externí odkaz:
https://doaj.org/article/b5cde5fbf8764051b7bfecd93f8bf8a8
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104153- (2024)
Accurately estimating fractional cover of vegetated ecosystems over large areas is essential for many scientific studies, including climate change, land cover and land use, etc. Taking both accuracy and large spatial coverage into account, different
Externí odkaz:
https://doaj.org/article/cea8203d379644b6abb3eeeb6855a3ba
Autor:
Dávid D.Kovács, Pablo Reyes-Muñoz, Katja Berger, Viktor Ixion Mészáros, Gabriel Caballero, Jochem Verrelst
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102816- (2024)
Operational Earth observation missions, like the Sentinel-3 (S3) satellites, aim to provide imagery for long-term environmental assessment to monitor and analyze vegetation changes and dynamics. However, the S3 archive is limited in temporal availabi
Externí odkaz:
https://doaj.org/article/33f9c74bf3384519937ea4b946d36b4b
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Unprecedented catastrophic damage to coastal fisheries attributable to harmful Karenia outbreaks were reported in Pacific coastal shelf waters off the southern coast of Hokkaido from late summer to autumn in 2021. To understand the spatiotemporal var
Externí odkaz:
https://doaj.org/article/67efcf16877242d4bac42283eb21357c
Autor:
Venkatesh BHANDAGE, Manohara PAI M. M.
Publikováno v:
Applied Computer Science, Vol 20, Iss 3 (2024)
Satellite imagery plays an important role in detecting algal blooms because of its ability to cover larger geographical regions. Excess growth of Sea surface algae, characterized by the presence of Chlorophyll-a (Chl-a), is considered to be harmful.
Externí odkaz:
https://doaj.org/article/23ad617810ee460198689335e57ec358
Publikováno v:
Earth and Space Science, Vol 11, Iss 8, Pp n/a-n/a (2024)
Abstract The provision of accurate wet tropospheric corrections (WTC), accounting for the delay of the radar pulses caused mostly by the atmospheric water vapor in the altimeter‐range observations, is pivotal for the full exploitation of altimeter
Externí odkaz:
https://doaj.org/article/3d6c567e2181461daf439fb2958765ce
Autor:
Ruiqi Du, Youzhen Xiang, Junying Chen, Xianghui Lu, Fucang Zhang, Zhitao Zhang, Baocheng Yang, Zijun Tang, Xin Wang, Long Qian
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104081- (2024)
Understanding soil moisture dynamics is crucial for crop growth. The digital mapping of field soil moisture distribution provides valuable information for agricultural water management. The optical satellite data provides fine scale soil moisture inf
Externí odkaz:
https://doaj.org/article/179c555feebd47d6a460d04fdb8ac6c7
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Optically complex waters present significant challenges for remote sensing due to high concentrations of optically active substances (OASs) and their inherent optical properties (IOPs), as well as the adjacency effect. OASs and IOPs can be derived fr
Externí odkaz:
https://doaj.org/article/73700603ea0c499ba51ae3c1b31a9ae6
Autor:
Gaia Gleratti, Victor Martinez-Vicente, Elizabeth C. Atwood, Stefan G. H. Simis, Thomas Jackson
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Estuarine and coastal transitional waters present a challenge for the interpretation of radiometric remote sensing. Neighbouring water masses have strongly contrasting optical properties at small spatial scales. Adjacency of land adds optical contami
Externí odkaz:
https://doaj.org/article/9838702d7c6640f4b58b92e8794e47fb
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103981- (2024)
Existing Land Surface Temperature (LST) fusion models encounter some challenges due to missing data, complex weather areas, and rapid land cover changes. To overcome these limitations, we proposed the Integrated SpatioTemporal Fusion Algorithm (ISFAT
Externí odkaz:
https://doaj.org/article/48640ff9f0d94b10b8974cf610dc98d7