SAR data applications in earth observation: An overview
A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Use of remote sensing data to improve the efficiency of national forest inventories: A case study from the United States national forest inventory
AJ Lister, H Andersen, T Frescino, D Gatziolis… - Forests, 2020 - mdpi.com
Globally, forests are a crucial natural resource, and their sound management is critical for
human and ecosystem health and well-being. Efforts to manage forests depend upon …
human and ecosystem health and well-being. Efforts to manage forests depend upon …
A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery
J Liang, D Liu - ISPRS journal of photogrammetry and remote sensing, 2020 - Elsevier
Emergency response to floods requires timely information on water extents, which can be
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …
Land use land cover classification with U-net: Advantages of combining sentinel-1 and sentinel-2 imagery
The U-net is nowadays among the most popular deep learning algorithms for land use/land
cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar …
cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar …
[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 …
Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine
Satellite remote sensing plays an important role in mapping the location and extent of
surface water. A variety of approaches are available for mapping surface water, but deep …
surface water. A variety of approaches are available for mapping surface water, but deep …
From local to regional compound flood mapping with deep learning and data fusion techniques
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning
Synthetic aperture radar (SAR) has great potential for timely monitoring of flood information
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …
Satellite observations and malaria: new opportunities for research and applications
Satellite remote sensing provides a wealth of information about environmental factors that
influence malaria transmission cycles and human populations at risk. Long-term …
influence malaria transmission cycles and human populations at risk. Long-term …
[HTML][HTML] Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index
G Kaplan, L Fine, V Lukyanov, N Malachy… - Agricultural Water …, 2023 - Elsevier
In cotton, an optimal balance between vegetative and reproductive growth will lead to high
yields and water-use efficiency. Remote sensing estimations of vegetation variables such as …
yields and water-use efficiency. Remote sensing estimations of vegetation variables such as …