How armed conflict shapes environmental trends in Yemen?

cg.contactamen.al.yaari@vub.been_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerVrije Universiteit Brusselen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.projectCODIS - Corporate-Communication and Documentation Information Servicesen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryYEen_US
cg.coverage.regionWestern Asiaen_US
cg.creator.idGovind, Ajit: 0000-0002-0656-0004en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://doi.org/10.1016/j.rsase.2026.101927en_US
cg.isijournalISI Journalen_US
cg.journalRemote Sensing Applications: Society and Environmenten_US
cg.reviewStatusPeer Reviewen_US
cg.subject.agrovocmoderate resolution imaging spectroradiometeren_US
cg.subject.agrovocarmed conflictsen_US
cg.volume41en_US
dc.contributorGovind, Ajiten_US
dc.creatorAl-Yaari, Amenen_US
dc.date.accessioned2026-09-17T17:42:52Z
dc.date.available2026-09-17T17:42:52Z
dc.description.abstractThe ongoing conflict in Yemen has resulted in widespread socio-economic disruption and environmental degradation, with more than half of the population requiring humanitarian aid. In such conflict-affected contexts, direct field assessments are often unfeasible, making remote sensing an essential tool for environmental monitoring. This study integrates multi-temporal satellite observations, including the Moderate Resolution Imaging Spectroradiometer (MODIS), the Global Precipitation Measurement Version 6 (GPM v6), and the Tropical Rainfall Measuring Mission (TRMM). It also uses station-based and gauge-corrected climate products, such as the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and TerraClimate, along with atmospheric reanalysis data from the fifth-generation European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5). These datasets were integrated to evaluate the impacts of prolonged armed conflict on vegetation dynamics, water stress, and climate variability across Yemen from 2001 to 2024. We examined national-scale spatiotemporal patterns using annual trends, breakpoints, and spatial comparisons between pre-conflict and conflict periods. The escalation of the civil war during 2011-2015 coincides with a marked decline in the aridity index and the Normalized Difference Vegetation Index (NDVI), accompanied by an increase in potential evapotranspiration (PET). These changes suggest conflict-driven impacts on vegetation and water balance, likely resulting from agricultural disruption. From 2016 onward, a partial recovery in NDVI and the aridity index, alongside reduced PET, indicates the onset of environmental stabilization following the initial conflict shock. Although precipitation shows no persistent long-term trend, it displays pronounced interannual variability. Surprisingly, agricultural areas in Yemen have increased between 2010 and 2020 over some regions despite the ongoing conflict, which may have forced populations to settle in new areas, converting previously unused or marginal land into farmland. Overall, the findings reveal the complex interactions between conflict, climate variability, and ecosystem resilience, underscoring the value of satellite monitoring in politically inaccessible regions.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationAmen Al-Yaari, Ajit Govind. (19/2/2026). How armed conflict shapes environmental trends in Yemen. Remote Sensing Applications: Society and Environment, 41.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/70851
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.sourceRemote Sensing Applications: Society and Environment;41,(2026)en_US
dc.titleHow armed conflict shapes environmental trends in Yemen?en_US
dc.typeJournal Articleen_US
dcterms.available2026-02-14en_US
dcterms.hasVersionV3 - 2026-09-17en_US
dcterms.issued2026-02-19en_US
mel.impact-factor4.9en_US

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