Remote Sensing–Based Online Monitoring Systems for Assessing Degradation of Rainfed Lands
Authors/Creators
- 1. Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University (TIIAME NRU), Tashkent, Uzbekistan
- 2. Karshi State Technical University, Karshi, Uzbekistan
Description
In recent years, the quality of land resources has significantly deteriorated due to climate change and anthropogenic pressures. Rainfed lands, which rely solely on precipitation without artificial irrigation, are particularly vulnerable to climate change. In these areas, degradation processes such as soil erosion, reduction of organic matter, and weakening of vegetation occur rapidly. Regular and large-scale monitoring of these changes through traditional methods is challenging, while modern remote sensing technologies, especially the Google Earth Engine (GEE) platform, offer significant opportunities in this regard. This article discusses the approach of monitoring the degradation of rainfed lands using the Normalized Difference Vegetation Index (NDVI) based on GEE.
Files
GJRALS22488.pdf
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