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[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
[HTML][HTML] A meta-analysis on harmful algal bloom (HAB) detection and monitoring: a remote sensing perspective
Algae serves as a food source for a wide range of aquatic species; however, a high
concentration of inorganic nutrients under favorable conditions can result in the …
concentration of inorganic nutrients under favorable conditions can result in the …
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters
Atmospheric correction over inland and coastal waters is one of the major remaining
challenges in aquatic remote sensing, often hindering the quantitative retrieval of …
challenges in aquatic remote sensing, often hindering the quantitative retrieval of …
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions …
Decision tree and random forest classification algorithms for mangrove forest map** in Sembilang National Park, Indonesia
Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
[HTML][HTML] Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery
In aquatic remote sensing, algorithms commonly used to map environmental variables rely
on assumptions regarding the optical environment. Specifically, some algorithms assume …
on assumptions regarding the optical environment. Specifically, some algorithms assume …
[HTML][HTML] Monitoring beach topography and nearshore bathymetry using spaceborne remote sensing: A review
With high anthropogenic pressure and the effects of climate change (eg, sea level rise) on
coastal regions, there is a greater need for accurate and up-to-date information about the …
coastal regions, there is a greater need for accurate and up-to-date information about the …
A harmonized image processing workflow using Sentinel-2/MSI and Landsat-8/OLI for map** water clarity in optically variable lake systems
This study demonstrates the applicability of harmonizing Sentinel-2 MultiSpectral Imager
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
A chlorophyll-a algorithm for Landsat-8 based on mixture density networks
Retrieval of aquatic biogeochemical variables, such as the near-surface concentration of
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …
[HTML][HTML] An UAV and satellite multispectral data approach to monitor water quality in small reservoirs
C Cillero Castro, JA Domínguez Gómez… - Remote Sensing, 2020 - mdpi.com
A multi-sensor and multi-scale monitoring tool for the spatially explicit and periodic
monitoring of eutrophication in a small drinking water reservoir is presented. The tool was …
monitoring of eutrophication in a small drinking water reservoir is presented. The tool was …