| Authors | الهام یوسفی روبیات,فاطمه صحراگرد,امیر خزاعی فیض آباد |
| Journal | بیابان- Desert |
| Page number | 453-477 |
| Serial number | ۳۰ |
| Volume number | ۲ |
| IF | 0.24 |
| Paper Type | Full Paper |
| Published At | ۲۰۲۶ |
| Journal Grade | Scientific - research |
| Journal Type | Typographic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | isc |
| Keywords | Drought Vegetation Health Index MODIS Khuzestan Remote Sensing Google Earth Engine |
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Abstract
Drought, a pervasive natural hazard, poses serious threats to ecosystems,
agriculture, and water resources, particularly in arid and semi-arid regions. This
study provides a comprehensive long-term assessment of drought dynamics,
vegetation health, and hydrological variations in Khuzestan Province, southwest
Iran, during 2000–2023. Meteorological drought was carefully quantified using
the Standardized Precipitation Index (SPI), while vegetation stress and
temperature impacts were evaluated through the Vegetation Condition Index
(VCI), Temperature Condition Index (TCI), and the integrated Vegetation
Health Index (VHI) derived from MODIS satellite data processed in Google
Earth Engine. Results revealed pronounced seasonal and interannual variability,
with severe and recurrent summer droughts accompanied by occasional wet
anomalies. Central and northern areas experienced the highest vegetation stress,
whereas southern regions remained relatively stable and resilient throughout the
study period. Hydrological analyses using GRACE and SMAP datasets
indicated persistent and significant reductions in terrestrial water storage and
soil moisture, strongly correlated with vegetation health indicators. Correlation
analysis demonstrated that VHI was primarily influenced by VCI, with SPI and
TCI exerting secondary but notable effects. Overall, the findings emphasize the
crucial value of multi-index, satellite-based monitoring for understanding
drought–vegetation interactions, improving early-warning capabilities, and
supporting sustainable water, ecosystem, and agricultural management in semiarid environments.
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