Prospects for Drought Detection and Monitoring Using Long-Term Vegetation Indices Series from Satellite Data in Kazakhstan DOI Creative Commons
Irina Vitkovskaya, M. Batyrbayeva,

Nurmaganbet Berdigulov

et al.

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

Drought Risk Management in Ethiopia: A Systematic Review DOI Open Access

Terefe Hundessa Bekana

Journal of Energy Environmental & Chemical Engineering, Journal Year: 2025, Volume and Issue: 10(1), P. 1 - 11

Published: Jan. 22, 2025

Ethiopia faces significant vulnerability to climate change due its limited adaptive capacity and heavy reliance on rain-fed agriculture for livelihoods. Drought, a critical aspect of change, is persistent silent disaster that gradually affects extensive areas across the country. Unlike sudden natural disasters such as floods or tornadoes, impacts drought develop slowly are not immediately apparent. This paper examines risk management in Ethiopia, country recurrent droughts fanned by significantly impacting millions people, particularly rural areas. The aim investigate socio-environmental challenges raised water scarcity, which agricultural productivity, food security, public health. study emphasizes importance integrated strategies combine government initiatives, community engagement, international support enhance resilience among vulnerable populations. implementation Productive Safety Net Program (PSNP), community-driven adaptation measures, role social capital fostering cooperation resource sharing during crises key strategy short term adaptation. Advanced monitoring predictive technologies improve preparedness response events crucial. By addressing both technical dimensions management, this research contributes development sustainable solutions mitigate promote long-term Ethiopia.

Language: Английский

Citations

1
Characterization of Drought Detection With Remote Sensing Based Multiple Indices and SPEI in Northeastern Ethiopian Highland DOI Creative Commons

Kassahun Tenebo Alito,

Mulu Sewinet Kerebih,

Dawit Asregedew Hailu

et al.

Air Soil and Water Research, Journal Year: 2025, Volume and Issue: 18

Published: March 1, 2025

Drought detection is crucial for managing risk, often using continuous drought indicators derived from satellite data, rainfall, and other hydrometeorological variables. The study examined meteorological agricultural patterns in North Wollo, Ethiopia, various indices such as Vegetation Condition Index (VCI), Temperature (TCI), Health (VHI), Standardized Precipitation-Evapotranspiration (SPEI), (VDI) 2000 to 2022. utilized satellite-derived data like MOD11A2 LST Terra MOD13Q1 NDVI, well ground-based rainfall. employs multiple linear regression correlation analysis examine the between climate variables precipitation, air temperature, soil moisture. findings indicated that average was high (37.11°C–42.83°C), whereas NDVI low unhealthy (<0.33) lowland area. It revealed region had higher mean lower values due less favorable moisture conditions compared central highland regions. result a significant strong negative with ( R = -.977, p < .01) across all districts. This also identified existence of positive relationships VHI rainfall 2 .996, .01), SSM .956, / .97/.01) found VDI .74, region, despite correlations NDVI-LST NDWI-LST. Both Soil Moisture (SSM) serve valuable monitoring development both droughts this aids Northeastern Ethiopian Highland by identifying most effective assessing drought.

Language: Английский

Citations

0
Drought Monitoring Using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia DOI Creative Commons
Birhan Getachew Tikuye, Ram L. Ray, B. R. Manjunatha

et al.

Natural Hazards Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
Prospects for Drought Detection and Monitoring Using Long-Term Vegetation Indices Series from Satellite Data in Kazakhstan DOI Creative Commons
Irina Vitkovskaya, M. Batyrbayeva,

Nurmaganbet Berdigulov

et al.

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

Citations

1