Soil health in a conflict-affected area: An open-source Google Earth Engine framework to map land degradation in Gaza

Armed conflict accelerates soil and vegetation degradation, but field assessments and monitoring are often only possible at a later stage and/or indirectly, for example, through remote sensing data. We used the Dynamic World v1, a land-cover open-source dataset derived from Sentinel-2 imagery, to quantify land-cover change in Gaza (Palestinian territories) between September 2023 and September 2025. After cloud/shadow masking and 10 m spatial estimation, cropland and grassland declined from 5941 to 2056 ha (−65%), while bare soil expanded from 3918 to 17,663 ha (+351%). A comparator region in Israel showed modest changes (−4.5% and +3.4%, respectively), indicating that the Gaza trends are conflict-related rather than regional. High-resolution imagery reveals widespread transition from vegetated surfaces to debris fields and exposed soils. Our findings corroborate recent analyses based on commercial imagery while extending the assessment to 2025 through a fully open-source workflow. We present a fully reproducible workflow in Google Earth Engine to document and quantify land degradation using open Earth observation data under conditions of restricted ground access. These results provide a quantitative baseline for assessing soil and vegetation damage in conflict-affected areas.

Authors

Institutions

Publication Details

Journal
Progress in Physical Geography Earth and Environment
Published
2026-06-17
DOI
https://doi.org/10.1177/03091333261461125
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soil health in a conflict-affected area: An open-source Google Earth Engine framework to map land degradation in Gaza

Franz Zehetner, Michele Torresani, Luigimaria Borruso, Benedetta Turchetti et al.
Progress in Physical Geography Earth and Environment
Remote Sensing in Agriculture
article

Soil health in a conflict-affected area: An open-source Google Earth Engine framework to map land degradation in Gaza

Franz Zehetner, Michele Torresani, Luigimaria Borruso, Benedetta Turchetti, Stefano Cesco, Ilaria Fracasso, Heribert Insam, Roy Neilson, Oussama Bouaicha, Elisa Gamalero, Claudio Zaccone, Roberto Tognetti, Pietro Buzzini, Duccio Rocchini, Raphael Tiziani, Gianmarco Mugnai, Anna Sandionigi, Giuseppe T. Cirella, Ciro Sannino, Manuel Esperon-Rodriguez, Marco Fusi, Vittorio Capozzi, Alessio Russo, Michel Hanania, Omar Darissa, Leonardo Montagnani, Tanja Mimmo
article en

Abstract

Armed conflict accelerates soil and vegetation degradation, but field assessments and monitoring are often only possible at a later stage and/or indirectly, for example, through remote sensing data. We used the Dynamic World v1, a land-cover open-source dataset derived from Sentinel-2 imagery, to quantify land-cover change in Gaza (Palestinian territories) between September 2023 and September 2025. After cloud/shadow masking and 10 m spatial estimation, cropland and grassland declined from 5941 to 2056 ha (−65%), while bare soil expanded from 3918 to 17,663 ha (+351%). A comparator region in Israel showed modest changes (−4.5% and +3.4%, respectively), indicating that the Gaza trends are conflict-related rather than regional. High-resolution imagery reveals widespread transition from vegetated surfaces to debris fields and exposed soils. Our findings corroborate recent analyses based on commercial imagery while extending the assessment to 2025 through a fully open-source workflow. We present a fully reproducible workflow in Google Earth Engine to document and quantify land degradation using open Earth observation data under conditions of restricted ground access. These results provide a quantitative baseline for assessing soil and vegetation damage in conflict-affected areas.

Progress in Physical Geography Earth and Environment
University of Verona (IT), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Padua (IT), James Hutton Institute (GB), Bethlehem University (PS), Queensland University of Technology (AU), Bangor University (GB), Free University of Bozen-Bolzano (IT), University of Zurich (CH), Czech University of Life Sciences Prague (CZ), University of Perugia (IT), University of Gdańsk (PL), Institute of Sciences of Food Production (IT), National Research Council (IT), BioCrea (Germany) (DE), Western Sydney University (AU), University of Milano-Bicocca (IT), Newcastle University (GB), University of Bologna (IT)
Life in Land
Openalex Percentile: Top 7%
Remote Sensing in Agriculture
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.