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 …

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 …

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 …

Land use land cover classification with U-net: Advantages of combining sentinel-1 and sentinel-2 imagery

JV Solórzano, JF Mas, Y Gao, JA Gallardo-Cruz - Remote Sensing, 2021 - mdpi.com
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 …

[HTML][HTML] Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine

KN Markert, AM Markert, T Mayer, C Nauman, A Haag… - Remote Sensing, 2020 - mdpi.com
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 …

Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine

T Mayer, A Poortinga, B Bhandari, AP Nicolau… - ISPRS Open Journal of …, 2021 - Elsevier
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 …

From local to regional compound flood mapping with deep learning and data fusion techniques

DF Muñoz, P Muñoz, H Moftakhari… - Science of the Total …, 2021 - Elsevier
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
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

X Jiang, S Liang, X He, AD Ziegler, P Lin, M Pan… - ISPRS journal of …, 2021 - Elsevier
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 …

Satellite observations and malaria: new opportunities for research and applications

MC Wimberly, KM de Beurs, TV Loboda, WK Pan - Trends in parasitology, 2021 - cell.com
Satellite remote sensing provides a wealth of information about environmental factors that
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 …