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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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) …
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 …
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
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 …
in unfavorable higher plant conditions (ie, low precipitation rates and high temperatures) in …