Sentinel-2 data for land cover/use mapping: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
Detecting, extracting, and monitoring surface water from space using optical sensors: A review
Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery
P Thanh Noi, M Kappas - Sensors, 2017 - mdpi.com
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Impacts of climate variability and drought on surface water resources in Sub-Saharan Africa using remote sensing: A review
Climate variability and recurrent droughts have caused remarkable strain on water
resources in most regions across the globe, with the arid and semi-arid areas being the …
resources in most regions across the globe, with the arid and semi-arid areas being the …
Extraction of urban water bodies from high-resolution remote-sensing imagery using deep learning
Y Chen, R Fan, X Yang, J Wang, A Latif - Water, 2018 - mdpi.com
Accurate information on urban surface water is important for assessing the role it plays in
urban ecosystem services in the context of human survival and climate change. The precise …
urban ecosystem services in the context of human survival and climate change. The precise …
PlanetScope, Sentinel-2, and Sentinel-1 data integration for object-based land cover classification in Google Earth Engine
M Vizzari - Remote Sensing, 2022 - mdpi.com
PlanetScope (PL) high-resolution composite base maps have recently become available
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
[HTML][HTML] Urban surface water body detection with suppressed built-up noise based on water indices from Sentinel-2 MSI imagery
X Yang, Q Qin, P Grussenmeyer, M Koehl - Remote sensing of environment, 2018 - Elsevier
Water spectral indices can enhance the difference between water bodies and background
features. Thus, they have been widely used to extract and map surface water bodies based …
features. Thus, they have been widely used to extract and map surface water bodies based …
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 …
[HTML][HTML] Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine
Satellite remote sensing plays an important role in the monitoring of surface water for
historical analysis and near real-time applications. Due to its cloud penetrating capability …
historical analysis and near real-time applications. Due to its cloud penetrating capability …
Accurate water extraction using remote sensing imagery based on normalized difference water index and unsupervised deep learning
Large-scale monitoring of surface water bodies is of great significance to the sustainable
development of regional ecosystems. Remote sensing is currently the main method of global …
development of regional ecosystems. Remote sensing is currently the main method of global …