Zobrazeno 1 - 10
of 103
pro vyhledávání: '"water reflectance"'
Autor:
Alice Fabbretto, Mariano Bresciani, Andrea Pellegrino, Krista Alikas, Monica Pinardi, Salvatore Mangano, Rosalba Padula, Claudia Giardino
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1704 (2024)
This work aims to show the potential of imaging spectroscopy in assessing water quality and aquatic vegetation in Lake Trasimeno, Italy. Hyperspectral reflectance data from the PRISMA, DESIS and EnMAP missions (2019–2022, summer periods) were compa
Externí odkaz:
https://doaj.org/article/fd636480bdbc4f489ff0c719cfc287d6
Autor:
Thomas M. Jordan, Stefan G. H. Simis, Nick Selmes, Giulia Sent, Federico Ienna, Victor Martinez-Vicente
Publikováno v:
Frontiers in Remote Sensing, Vol 4 (2023)
Validation of satellite-derived aquatic reflectance involves relating meter-scale in situ observations to satellite pixels with typical spatial resolution ∼ 10–100 m within a temporal “match-up window” of an overpass. Due to sub-pixel variati
Externí odkaz:
https://doaj.org/article/725f34c6faf54920ba8ba4c95a0f5798
Autor:
Emanuele Ciancia, Alessandra Campanelli, Roberto Colonna, Angelo Palombo, Simone Pascucci, Stefano Pignatti, Nicola Pergola
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5718 (2023)
Colored dissolved organic matter (CDOM) is a significant constituent of aquatic systems and biogeochemical cycles. Satellite CDOM retrievals are challenging in inland waters, due to overlapped absorption properties of bio-optical parameters, like Tot
Externí odkaz:
https://doaj.org/article/55b3645c62f04cfaac16715df40f5276
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 11 (2022)
Sentinel-2 imagery is potentially ideal for providing a rapid assessment of the ecological condition of estuarine water due to its high temporal and spatial resolution and coverage. However, for optically shallow waters, the problem of isolating the
Externí odkaz:
https://doaj.org/article/5c7cfbea52b44d6ab208ba827c57d01b
Autor:
Lifeng Niu, Hermann Kaufmann, Guochang Xu, Guangzong Zhang, Chaonan Ji, Yufang He, Mengfei Sun
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5289 (2022)
One of the most basic classification tasks in remote sensing is to distinguish between water bodies and other surface types. Although there are numerous techniques for extracting surface water from satellite imagery, there is still a need for researc
Externí odkaz:
https://doaj.org/article/dc6a8c2535124ebaba4788546c9bc1db
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2491 (2022)
In situ hyperspectral remote-sensing reflectance (Rrs(λ)) is used to derive water quality products and perform autonomous monitoring of aquatic ecosystems. Conventionally, above-water Rrs(λ) is estimated from three spectroradiometers which measure
Externí odkaz:
https://doaj.org/article/8e4fce1a65b64756ba76da634c263626
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1371 (2022)
Crowdsourced data from smart devices play an increasingly important role in water quality monitoring. However, guaranteeing and evaluating crowdsourced data quality is a key issue. This study aims to extract more accurate water reflectance data from
Externí odkaz:
https://doaj.org/article/07816e0b4ec44e0981f723394fa44f94
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Photonics, Vol 8, Iss 12, p 582 (2021)
Environmental conditions are very changeable; fluctuations in temperature, precipitation, illumination intensity, and other factors can decrease a plant productivity and crop. The remote sensing of plants under these conditions is the basis for the p
Externí odkaz:
https://doaj.org/article/aa236c80ff3a4780929a601ec990de27