Responses of spectral indices to heat and drought differ by tree size in Douglas-fir DOI Creative Commons
Olivia J.M. Waite, Nicholas C. Coops, Samuel Grubinger

et al.

Science of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown, P. 100193 - 100193

Published: Dec. 1, 2024

Language: Английский

Agricultural drought monitoring using modified TVDI and dynamic drought thresholds in the upper and middle Huai River Basin, China DOI Creative Commons

Dui Huang,

Tao Ma, Jiufu Liu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: unknown, P. 102069 - 102069

Published: Jan. 1, 2025

Language: Английский

Citations

0

Changes in Climate Extreme Indices and Agricultural Drought Monitoring in the Semi-Arid Areas of Borana Zone, Southern Ethiopia DOI Creative Commons
Girma Asefa Bogale, Asfaw Kebede Kassa,

Mengistu Mengesha Maja

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e42041 - e42041

Published: Jan. 1, 2025

Climate variability and extremes negatively impact on agricultural productivity production in arid semi-arid areas of Ethiopia. This study evaluated changes climate extreme indices the Borana Zone. Data daily rainfall, maximum minimum temperature from 1993 to 2022 were acquired National Meteorological Institute Ethiopia Hazards Group InfraRed Precipitation with Station data (CHIRPS). R-package for (RClimDex), Xlstat 2019, OriginPro, ArcGIS software used as analysis tools determine indices, trends, drought anomalies area. Spatial temporal variations temperature, vegetation zone analyzed using Google Earth Engine (GEE). The results revealed a decrease frequency consecutive wet days (CWD), 1-day precipitation amount (Rx1days), 5-day (Rx5days), very (R95p) Dire, Guchi, Wachele, Moyale districts zone. Annual monthly total (PRCPTOT) also decreased Dhaso, Dilo, Dubluk, Moyale, Tatlate over years. Warm spell duration index (WSDI), or annual (TNx), warm nights (TN90p), (TX90p) showed an increase However, standardized R10, R20, R95p, R99p indicated moderate across studied Vegetation Condition Index (VCI) higher severity spatial distribution Dilo Yabelo, whereas Temperature (TCI) detected Dubluk Yabelo stress due moisture thermal stress. Moisture-stress thermal-stress play role formation, whereas, is determined by availability, which dependent rainfall. We demonstrate that area experienced severe frequent years, multiple satellite-based are necessary better early warning assessment Further studies consider socioeconomic aspects farmers understand impacts smallholder farmers, devise location-specific adaptation strategies.

Language: Английский

Citations

0

Integrating Climate Indices and Land Use Practices for Comprehensive Drought Monitoring in Syria: Impacts and Implications DOI Creative Commons
Shifa Mathbout, Georgios Boustras, Pierantonios Papazoglou

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100631 - 100631

Published: Feb. 1, 2025

Language: Английский

Citations

0

Use of remote sensing and Geographic Information System for mapping drought susceptibility in Boyolali Regency DOI Open Access

Mona Siddiq,

Sudaryatno,

Taufik Hery Purwanto

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1443(1), P. 012028 - 012028

Published: Jan. 1, 2025

Abstract Boyolali Regency is one of the regencies in Central Java that often hit by drought during dry season. In 2023, it was recorded 11 out 22 total sub-districts experienced and received clean water assistance from Regional Disaster Management Agency (BPBD) Regency. The El Nino phenomenon Indonesia exacerbated impact drought. study conducted aims to determine analyze results ability Landsat 9 imagery generating information into susceptibility parameters spatio-temporal pattern months (April - September) 2023 based on generated processing. used are NDVI, LST, NDWI, land use/land cover. Applying a weighted tiered quantitative approach applying scoring weighting each parameter. resulted accuracy between image interpretation field conditions using confusion matrix table. Each parameter produces different overall accuracy, but not much difference so still has sufficient level confidence. resulting map shows April, May, June dominated low-moderate susceptibility, while July, August, September high-very high susceptibility. August peak month with dominance susceptiblity covering 67741.05 Ha (63% area Regency). moderate very located southern, eastern, northern parts regency, low-low western part

Language: Английский

Citations

0

Hydroclimate dynamics and their impact on vegetation health in the Luni River Basin, Western India: a multi-index assessment using remote sensing DOI

Pooja Chauhan,

Mamata Ngangom, M.G. Thakkar

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 8, 2025

Language: Английский

Citations

0

Investigation of Urban Heat Islands and modeling of Land Surface Temperature over selected Indian cities using MODIS products DOI
Nibir Mandal, Kironmala Chanda

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(5)

Published: April 25, 2025

Language: Английский

Citations

0

Satellite-based drought assessment: integrating AHP method and fuzzy logic for comprehensive vulnerability and risk analysis DOI Creative Commons
Kamila Hodasová, David Krčmář,

Ivana Ondrejková

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Language: Английский

Citations

0

Spatiotemporal analysis of drought in the Sahelian region of northeastern Nigeria, sub-Saharan Africa DOI

Akus Kingsley Okoduwa,

Sadegh Mokhtarisabet

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(6)

Published: May 9, 2025

Language: Английский

Citations

0

Analysis of growing season drought characteristics and driving factors for vegetation in the Santun River Irrigation Area in Xinjiang DOI Creative Commons

Yuxin Wei,

Hongfei Tao,

Yan Xu

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(5), P. e0323918 - e0323918

Published: May 13, 2025

Global warming is exacerbating the occurrence of droughts, which have a significant impact on society. Drought one main factors limiting development Santun River Irrigation Area in Xinjiang. Clarifying driving mechanism and spatial temporal evolution characteristics drought this irrigation area crucial for ensuring sustainable agriculture. In paper, temperature vegetation index (TVDI) used as indicator to analyze Xinjiang, well reveal influencing using Geoprobe model. The results show that mean value TVDI Xinjiang during 19 years was 0. 738, categorizing it medium drought. During period, there an increasing trend spring autumn decreasing summer. district had strong heterogeneity, overall, stronger northern part region than southern region. Over past years, light areas shifted severe classes at rate 114.9 km 2 ·10a −1 . combined effect elevation strongest explanatory power irrigated area, with q-value 0.869. study provide theoretical basis risk assessment water resource planning arid regions, reference monitoring studies similar regions.

Language: Английский

Citations

0

Drought Dynamics: Enhanced Characterization Through Hyper‐Temporal Satellite Observations DOI
Arnab Kundu, Dipanwita Dutta,

N. R. Patel

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(12)

Published: Dec. 1, 2024

ABSTRACT Drought is a multifaceted hazard, influenced directly or indirectly by factors such as precipitation, evapo‐transpiration, soil moisture content and groundwater levels. dynamics fundamentally linked to hydrological processes, droughts impact water availability, overall balance. Given the global climate change consequent increasing frequency of extreme events, assessing vulnerability drought stress in underprivileged areas has become highly relevant. In this context, characterization crucial for understanding complex patterns its impacts on agriculture, ecosystems communities, thereby contributing food security, environmental sustainability disaster preparedness. The major goal study was evaluate onset, duration, extent agricultural using satellite‐based datasets. hyper‐temporal Système Pour l'Observation de la Terre (SPOT) VEGETATION (VGT) Normalized Difference Vegetation Index (NDVI) data were used quantify related vegetation cover. spatial pattern estimated long‐term Condition (VCI) derived from SPOT‐VGT NDVI Notably, strong agreement found between estimations onset particularly during severe years 2002 2008. reveals that more over 95% total area encountered crop before second week July 1999, 2008, which are identified region. maps effectively captured occurrence events sixteen‐year span, highlighting distinct episodes underscoring significant prevalence across considerable area. high r 2 (0.61) value indicates level shared variability VCI yield crops, demonstrating their consistent alignment capturing health anomalies. comprehensive delineation Bundelkhand region revealed potential future preparedness efforts, enabling strategic planning facilitating implementation sustainable policy interventions.

Language: Английский

Citations

3