Active Remote Sensing for Saline Soils Mapping in Arid and Semi-Arid Environments

Abstract. Mapping of human induced or natural occurring saline soils using satellite remote sensing has been an active area of research in the past few decades. In particular in agricultural lands as saline soils negatively impact crop yield and plant growth. Within arid and semi-arid regions saline soils have adverse effects on urban structures, land surface subsidence, soil erosion and soil degradation. While most previous studies of mapping saline soils have focused on broad-band passive remote sensing data, there has been minimal exploration into the utilization of active radar remote sensing data, particularly Synthetic Aperture Radar (SAR). This research aims to bridge this gap by employing C-band Sentinel-1 data enhanced by the polarimetric analysis, to identify and map saline soils within arid and semi- arid environments. Preliminary results highlight the challenges of using active remote sensing in mapping saline soils. Relying on the correlations between electric conductivity measurements and with scattering entropy resulted in accuracies of only 17% and 15% using polarimetric anisotropy. Other soil parameters such as soil electric properties, and perhaps soil moisture would improve the detection of saline soils using SAR data. However, the incorporation of polarimetric SAR (PolSAR) techniques offers a new avenue for improving soil salinity mapping by leveraging the unique scattering mechanisms and dielectric properties of saline soils.

Authors

Institutions

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-01-15
DOI
https://doi.org/10.5194/isprs-archives-xlviii-4-w17-2025-361-2026
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Active Remote Sensing for Saline Soils Mapping in Arid and Semi-Arid Environments

Muhagir El Kamali, Abdelgadir Abuelgasim, Alya Aldhahri
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Soil Moisture and Remote Sensing
article

Active Remote Sensing for Saline Soils Mapping in Arid and Semi-Arid Environments

Muhagir El Kamali, Abdelgadir Abuelgasim, Alya Aldhahri
article en

Abstract

Abstract. Mapping of human induced or natural occurring saline soils using satellite remote sensing has been an active area of research in the past few decades. In particular in agricultural lands as saline soils negatively impact crop yield and plant growth. Within arid and semi-arid regions saline soils have adverse effects on urban structures, land surface subsidence, soil erosion and soil degradation. While most previous studies of mapping saline soils have focused on broad-band passive remote sensing data, there has been minimal exploration into the utilization of active radar remote sensing data, particularly Synthetic Aperture Radar (SAR). This research aims to bridge this gap by employing C-band Sentinel-1 data enhanced by the polarimetric analysis, to identify and map saline soils within arid and semi- arid environments. Preliminary results highlight the challenges of using active remote sensing in mapping saline soils. Relying on the correlations between electric conductivity measurements and with scattering entropy resulted in accuracies of only 17% and 15% using polarimetric anisotropy. Other soil parameters such as soil electric properties, and perhaps soil moisture would improve the detection of saline soils using SAR data. However, the incorporation of polarimetric SAR (PolSAR) techniques offers a new avenue for improving soil salinity mapping by leveraging the unique scattering mechanisms and dielectric properties of saline soils.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-4/W17-2025
United Arab Emirates University (AE), Abu Dhabi Health Services (AE)
Sustainable cities and communities
Openalex Percentile: Top 88%
Soil Moisture and Remote Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.