Global warming likely intensifies water scarcity in arid regions, exacerbate the probability of soil degradation, and have major consequences for food security. Focusing on Khorezm region climate data and MODIS satellite NDVI images, this research was conducted to determine the risk of soil degradation using the Earth Engine API platform. Integrating climatic data and time-series NDVI, including water year and scarcity years, spatial analyses were performed to determine which years were at high, medium, and low risk of degradation. If the current climate change trend continues, reserves in the Amudarya water supply may be depleted, and areas at high risk of soil degradation may approach 30%.
| Mualliflar | Murodjon SULTANOV, Navbohor JUMANIYAZOVA, Eshkabul SAFAROV |
|---|---|
| Jurnal | Ўзбекистон Миллий университети хабарлари |
| Nashr sanasi | 2024-03-29 |
| Jild | 3 |
| Son | 3.1 |
| Betlar | 134-136 |
| Til | O‘zbek |
| DOI | 10.69617/nuuz.v3i3.1.1743 |
DOI: 10.69617/nuuz.v3i3.1.1743 · Maqolaning asl sahifasi
Climate change, soil degradation, API Earth Engine, NDVI, MODIS, crop biomass., Изменение климата, деградация почв, API Earth Engine, NDVI, MODIS, растительная биомасса., Iqlim o‘zgarishi, tuproq degradatsiyasi, Earth Engine API, NDVI, MODIS, o‘simlik biomassasi.
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