Results 11 to 20 of about 54,145 (274)

An Exponential Algorithm for Bottom Reflectance Retrieval in Clear Optically Shallow Waters from Multispectral Imagery without Ground Data

open access: yesRemote Sensing, 2021
Bottom reflectance is a significant parameter characterizing the bottom types for clear optically shallow waters, typically in oceanic islands and reefs.
Yunhan Ma   +7 more
doaj   +2 more sources

Mapping bathymetry and shallow water benthic habitats in inland and coastal waters with Sentinel-2

open access: yesJournal of Limnology, 2023
Accurate determination of the water depth and benthic macroalgae composition in coastal and inland water bodies is important due to the high commercial and ecological value of these regions.
Laura Argus   +6 more
doaj   +2 more sources

Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China

open access: yesRemote Sensing
Lake Taihu has highly turbid inland waters with complex optical properties. Due to the bottom effect of submerged aquatic plants in optically shallow waters, currently available phytoplankton chlorophyll-a retrieval algorithms tend to overestimate ...
Fuli Yan   +4 more
doaj   +2 more sources

Developing a novel index for detection of optically shallow waters using multispectral satellite imagery and radiative transfer modelling

open access: yesInternational Journal of Remote Sensing
Optical remote sensing of water quality has been problematic due to contamination of remote sensing observations by the sea-bottom effect over complex shallow or very clear waters.
Harald Zandler   +2 more
exaly   +2 more sources

MODIS –AQUA AND SENTINEL-2 DATA FUSION: APPLICATION TO OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN

open access: yesTransactions of the Karelian Research Centre of the Russian Academy of Sciences, 2018
Subsumed under the category of ocean colour (OC) data fusion tools, a new approach is developed to efficiently use the merits of two OC satellite sensors differing in their spatial and spectral resolution characteristics. The tool permits to combine high
Anton Korosov   +2 more
doaj   +2 more sources

Uncertainty assessment for a novel optically shallow water radiometric acquisition platform

open access: yesLimnology and Oceanography: Methods
We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along ...
Raphael Mabit   +2 more
semanticscholar   +2 more sources

Noise Estimation of Remote Sensing Reflectance Using a Segmentation Approach Suitable for Optically Shallow Waters

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2014
This paper outlines a methodology for the estimation of the environmental noise equivalent reflectance in aquatic remote sensing imagery using an object-based segmentation approach. Noise characteristics of remote sensing imagery directly influence the accuracy of estimated environmental variables and provide a framework for a range of sensitivity ...
S. Sagar, V. Brando, M. Sambridge
semanticscholar   +3 more sources

Remote sensing estimation of colored dissolved organic matter (CDOM) in optically shallow waters

open access: yesISPRS Journal of Photogrammetry and Remote Sensing, 2017
Qian Yu, Yong Tian, Jiwei Li
exaly   +2 more sources

Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery

open access: yesRemote Sensing of Environment
In aquatic remote sensing, algorithms commonly used to map environmental variables rely on assumptions regarding the optical environment. Specifically, some algorithms assume that the water is optically deep, i.e., that the influence of bottom reflectance on the measured signal is negligible.
Anders Knudby, Galen Richardson
exaly   +2 more sources

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