Remote sensing techniques in the investigation of aeolian sand dunes: A review of recent advances

Z Zheng, S Du, H Taubenböck, X Zhang - Remote Sensing of Environment, 2022 - Elsevier
Sand dunes are one of the most abundant aeolian landforms and play an important role in
understanding how aeolian environments evolve. Since the 1970s, remote sensing has …

[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 …

A review of progress in identifying and characterizing biocrusts using proximal and remote sensing

O Rozenstein, J Adamowski - … Journal of Applied Earth Observation and …, 2017 - Elsevier
Biocrusts are critical components of desert ecosystems, significantly modifying the surfaces
they occupy. The mixture of biological components and soil particles that form the crust, in …

[HTML][HTML] Normalizing the local incidence angle in sentinel-1 imagery to improve leaf area index, vegetation height, and crop coefficient estimations

G Kaplan, L Fine, V Lukyanov, VS Manivasagam… - Land, 2021 - mdpi.com
Public domain synthetic-aperture radar (SAR) imagery, particularly from Sentinel-1, has
widened the scope of day and night vegetation monitoring, even when cloud cover limits …

[HTML][HTML] An Auto-detection and classification algorithm for identification of sand dunes based on remote sensing images

Y Tang, Z Wang, Y Jiang, T Zhang, W Yang - International Journal of …, 2023 - Elsevier
Dunes are among the most abundant aeolian landforms found on Earth and other planets.
The automatic mapping of dunes over large-scale areas is crucial for predicting, monitoring …

[HTML][HTML] Quantifying irrigated winter wheat LAI in Argentina using multiple sentinel-1 incidence angles

G Caballero, A Pezzola, C Winschel, A Casella… - Remote sensing, 2022 - mdpi.com
Synthetic aperture radar (SAR) data provides an appealing opportunity for all-weather day
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …

[HTML][HTML] Synergy of Sentinel-1 and Sentinel-2 time series for cloud-free vegetation water content mapping with multi-output Gaussian processes

G Caballero, A Pezzola, C Winschel… - Remote Sensing, 2023 - mdpi.com
Optical Earth Observation is often limited by weather conditions such as cloudiness. Radar
sensors have the potential to overcome these limitations, however, due to the complex radar …

Mapping dune dynamics by InSAR coherence

S Havivi, D Amir, I Schvartzman… - Earth Surface …, 2018 - Wiley Online Library
It is generally held that subtle changes in sandy environments are very difficult to detect in
imagery. Nonetheless, this study demonstrates how synthetic aperture radar (SAR) …

The assessment of shoreline changes along the Johor Strait using Sentinel-1 synthetic aperture radar imagery and GIS

NAN Zulkifle, NH Idris, SSF Ahmad - International Journal of …, 2023 - Taylor & Francis
This paper presents a robust approach for shoreline detection using the K-Means clustering
and the Digital Shoreline Analysis System developed by the United States Geological …

[HTML][HTML] Coverage and rainfall response of biological soil crusts using multi-temporal sentinel-2 data in a central European temperate dry acid grassland

J Rieser, M Veste, M Thiel, S Schönbrodt-Stitt - Remote Sensing, 2021 - mdpi.com
Biological soil crusts (BSCs) are thin microbiological vegetation layers that naturally develop
in unfavorable higher plant conditions (ie, low precipitation rates and high temperatures) in …