Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Sentinel-3 OLCI"'
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
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
Autor:
Maximiliano Arena, Paula Pratolongo, Hubert Loisel, Manh Duy Tran, Daniel Schaffer Ferreira Jorge, Ana Laura Delgado
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/78f491c0b7d748f687f97a35f929b908
Publikováno v:
IEEE Access, Vol 12, Pp 44586-44597 (2024)
Chromophoric dissolved organic matter (CDOM) is a crucial component of aquatic environments. Accurately quantifying the content of CDOM is essential for supporting lake water quality monitoring and management. In this study, we utilized quasi-analyti
Externí odkaz:
https://doaj.org/article/578aa6a289ab433f95425a7c1722b943
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 584-600 (2024)
Spatiotemporal fusion (STF) methods are a paramount solution for generating high spatial and temporal time series, overcoming the limitations of spatial and temporal resolution of satellite data. STF methods typically rely on band-by-band fusion, ass
Externí odkaz:
https://doaj.org/article/cd3ad994749944adbfff1da04f8c2aff
Autor:
Shushanik Asmaryan, Anahit Khlghatyan, Azatuhi Hovsepyan, Vahagn Muradyan, Rima Avetisyan, Gor Gevorgyan, Armine Hayrapetyan, Mayada Mohamed Alshahat Arafat Eissa, Hendrik Bernert, Martin Schultze, Karsten Rinke
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3734 (2024)
Lake Sevan in Armenia is a unique, large, alpine lake given its surface, volume, and geographic location. The lake suffered from progressing eutrophication and, since 2018, massive cyanobacterial blooms repeatedly occurred. Although the lake is compa
Externí odkaz:
https://doaj.org/article/3cf23878dacd4032b124c69f1e49e787
Autor:
Susanne I. Schmidt, Tanja Schröder, Rebecca D. Kutzner, Pia Laue, Hendrik Bernert, Kerstin Stelzer, Kurt Friese, Karsten Rinke
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3416 (2024)
Remote sensing for water quality evaluation has advanced, with more satellites providing longer data series. Validations of remote sensing-derived data for water quality characteristics, such as chlorophyll-a, Secchi depth, and turbidity, have often
Externí odkaz:
https://doaj.org/article/d1c0827513c14ba9965cc5242980e3a5
Autor:
Honglei Guo, Wenyu Liu, Heng Lyu, Huaiqing Liu, Jiafeng Xu, Yunmei Li, Xianzhang Dong, Yuxin Zhu, Yiling Zheng, Song Miao
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103800- (2024)
As one of the optically active components, phytoplankton are common photosynthetic organisms in oceans, nearshore, and inland water bodies. The variations in phytoplankton algal density play a crucial role in understanding primary productivity, carbo
Externí odkaz:
https://doaj.org/article/a318b95949e0420d9532ba9eed4fdd30
Autor:
Luis González Vilas, Vittorio E. Brando, Javier A. Concha, Clèmence Goyens, Ana I. Dogliotti, David Doxaran, Antoine Dille, Dimitry Van der Zande
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
A Match-up Database (MDB) file structure and tools were developed to ease the validation analysis of satellite water products and to improve the exchange and processing of match-up data from different sites, missions and atmospheric correction proces
Externí odkaz:
https://doaj.org/article/f0bb215afcfd48679567b42932004b15