
Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2225 - 2225
Published: Dec. 19, 2024
The rainfed cereal growing regions of Northern Kazakhstan experience significant yield fluctuations due to dependence on weather conditions. Early detection and monitoring droughts is crucial for effective mitigation strategies in this region. This study emphasises the following objectives: (1) description current vegetation condition with a possible separation short-term effects (2) analysing trends changes their directionality quantification. Terra MODIS satellite images from 2000 2023 are used. Differential indices—Normalised Difference Vegetation Index (NDVI) Condition (VCI)—are used determine characteristics each season. A key component comparison NDVI values historical maximum, minimum, average identify early indicators drought. deviations multiyear norms VCI below 0.3 visually reflect changing conditions influenced by seasonal patterns. results show that algorithm effectively detects signs drought through observed values, showing trend towards increasing frequency intensity Kazakhstan. was particularly detecting severe seasons advance, as case June 2010 May 2012, thus supporting recognition onset. Integrated (IVI) (IVCI) time series integrated assessments, temporal cover, determining these changes, ranking season series. Areas high probability based low IVCI mapped. present value remote sensing tool monitoring, offering timely spatially detailed information vulnerable areas. approach provides critical agricultural planning, environmental management policy making, especially arid semi-arid regions. importance data accurate forecasting suggests methodology can be adapted other drought-sensitive Emphasising socio-economic benefits, using reduce material losses facilitate targeted responses.
Language: Английский