COMPARISON AND EVALUATION OF REMOTE SENSING INDICES FOR AGRICULTURAL DROUGHT MONITORING OVER KAZAKHSTAN

8 citations as recorded by crossref.

1. Evaluation of remote sensing-based drought monitoring indexes using support vector regression and random forest models (Case study: Marivan city) J. Seyedi Ghaldareh et al. https://doi.org/10.52547/jgit.10.3.121
2. Assessment of Drought Conditions Over Different Climate Zones of Kazakhstan Using Standardised Precipitation Evapotranspiration Index I. Farooq et al. https://doi.org/10.1007/s41748-022-00314-0
3. Beyond Vegetation Indices: Winter Solar Radiation and Soil Properties Drive Wheat Yield Prediction in the Arid Steppes of Kazakhstan Using Gradient Boosting M. Alpysbay et al. https://doi.org/10.3390/agriculture16070782
4. Assessing the Spatial–Temporal Pattern of Spring Maize Drought in Northeast China Using an Optimised Remote Sensing Index Y. Wang et al. https://doi.org/10.3390/rs15174171
5. Generalized Structure Functions and Multifractal Detrended Fluctuation Analysis Applied to Vegetation Index Time Series: An Arid Rangeland Study E. Sanz et al. https://doi.org/10.3390/e23050576
6. Use of Satellite‐Based Remote Sensing Indices for Agricultural Drought Monitoring in Saurashtra, Gujarat J. Shastri & S. Mujumdar https://doi.org/10.1002/met.70132
7. Correlation analysis of different optical remote sensing indices for drought monitoring: a case study of Canton Sarajevo, Bosnia and Herzegovina M. Đidelija et al. https://doi.org/10.1007/s10661-023-11930-2
8. Three-dimensional copula framework for early warning of agricultural droughts using meteorological drought and vegetation health conditions M. Afshar et al. https://doi.org/10.1080/02626667.2024.2326187