Tracking desertification fronts in Arid landscapes using multi-temporal landsat data and a composite spectral index

Desertification poses a major threat to arid ecosystems, particularly in oasis environments where ecological balance and agricultural productivity are closely linked. This study investigates spatiotemporal dynamics of desertification in the Tata Oasis (southeastern Morocco) using the Desertification Monitoring Index derived from Landsat-8 imagery (2013–2024). The DMI integrates MSAVI, albedo, and SFI to provide a comprehensive assessment of land degradation. To enhance temporal analysis, a structured multi-period framework (P1: 2013–2015; P2: 2016–2018; P3: 2019–2021; P4: 2022–2024) was applied to characterize degradation trajectories and spatial patterns. Results indicate a shift from stability in P1 to accelerated degradation in P4, with expanding degradation fronts in peripheral and abandoned lands and increasing fragmentation of productive areas, while the oasis core remains comparatively stable. Validation with 285 GPS points yielded 92% overall accuracy and a Kappa coefficient of 0.901. The findings support targeted land management under climatic and anthropogenic pressures.

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Publication Details

Journal
Geocarto International
Published
2026-04-15
DOI
https://doi.org/10.1080/10106049.2026.2657622
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Tracking desertification fronts in Arid landscapes using multi-temporal landsat data and a composite spectral index

Javed Mallick, Hazem Ghassan Abdo, Youssef Lassiane, Farid El Wahidi et al.
Geocarto International
Remote Sensing in Agriculture
article

Tracking desertification fronts in Arid landscapes using multi-temporal landsat data and a composite spectral index

Javed Mallick, Hazem Ghassan Abdo, Youssef Lassiane, Farid El Wahidi, Hoda Benazun, Hoang Thi Hang, Abderrahmane Edoudi, Khadeijah Yahya faqeih
article en

Abstract

Desertification poses a major threat to arid ecosystems, particularly in oasis environments where ecological balance and agricultural productivity are closely linked. This study investigates spatiotemporal dynamics of desertification in the Tata Oasis (southeastern Morocco) using the Desertification Monitoring Index derived from Landsat-8 imagery (2013–2024). The DMI integrates MSAVI, albedo, and SFI to provide a comprehensive assessment of land degradation. To enhance temporal analysis, a structured multi-period framework (P1: 2013–2015; P2: 2016–2018; P3: 2019–2021; P4: 2022–2024) was applied to characterize degradation trajectories and spatial patterns. Results indicate a shift from stability in P1 to accelerated degradation in P4, with expanding degradation fronts in peripheral and abandoned lands and increasing fragmentation of productive areas, while the oasis core remains comparatively stable. Validation with 285 GPS points yielded 92% overall accuracy and a Kappa coefficient of 0.901. The findings support targeted land management under climatic and anthropogenic pressures.

Geocarto InternationalVol. 41(1)
Princess Nourah bint Abdulrahman University (SA), Cadi Ayyad University (MA), King Khalid University (SA)
King Khalid University
Climate action
Openalex Percentile: Top 19%
Remote Sensing in Agriculture
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