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Surface water detection and delineation using remote sensing images: A review of methods and algorithms
TV Bijeesh, KN Narasimhamurthy - Sustainable Water Resources …, 2020 - Springer
Multispectral and hyperspectral images captured by remote sensing satellites or airborne
sensors contain abundant information that can be used to study and analyze objects of …
sensors contain abundant information that can be used to study and analyze objects of …
Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
Accurate characterization of tropical moist forest changes is needed to support conservation
policies and to quantify their contribution to global carbon fluxes more effectively. We …
policies and to quantify their contribution to global carbon fluxes more effectively. We …
High-resolution map** of global surface water and its long-term changes
The location and persistence of surface water (inland and coastal) is both affected by climate
and human activity and affects climate,, biological diversity and human wellbeing,. Global …
and human activity and affects climate,, biological diversity and human wellbeing,. Global …
Map** coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
X Wang, X ** on Google Earth Engine
Abstract Real-time, near-real-time, and accurate flood extent information is critical for
emergency response during disaster events such as floods. Accurate extents are critical for …
emergency response during disaster events such as floods. Accurate extents are critical for …
Recent advances in forest observation with visual interpretation of very high-resolution imagery
The land area covered by freely available very high-resolution (VHR) imagery has grown
dramatically over recent years, which has considerable relevance for forest observation and …
dramatically over recent years, which has considerable relevance for forest observation and …
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation map** using deep learning
Identification of flood water extent from satellite images has historically relied on either
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data
X Yang, Q Qin, H Yésou, T Ledauphin, M Koehl… - Remote Sensing of …, 2020 - Elsevier
The first national product of Surface Water Dynamics in France (SWDF) is generated on a
monthly temporal scale and 10-m spatial scale using an automatic rule-based superpixel …
monthly temporal scale and 10-m spatial scale using an automatic rule-based superpixel …
Constructing long-term high-frequency time series of global lake and reservoir areas using Landsat imagery
Improved monitoring of inundation area variations in lakes and reservoirs is crucial for
assessing surface water resources in a growing population and a changing climate …
assessing surface water resources in a growing population and a changing climate …
A deep learning method of water body extraction from high resolution remote sensing images with multisensors
M Li, P Wu, B Wang, H Park, H Yang… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Water body extraction from remote sensing images is an important task. Deep learning has
become a more popular method for extracting water bodies from remote sensing images …
become a more popular method for extracting water bodies from remote sensing images …