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Updated: Dec 4, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Vulnerability Analysis to Drought Based on Remote Sensing Indexes.

Huicong Jia1,2, Fang Chen2,3, Jing Zhang4

  • 1State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing 100875, China.

International Journal of Environmental Research and Public Health
|October 23, 2020
PubMed
Summary
This summary is machine-generated.

Drought at risk populations (DRP) are best assessed using vulnerability curves, with Enhanced Vegetation Index (EVI) proving more effective than Normalized Difference Vegetation Index (NDVI) for estimating drought vulnerability and losses.

Keywords:
Chinadrought at risk populationsrapid assessmentremote sensing index for droughtthe middle and lower reaches of the Yangtze Rivervulnerability

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Area of Science:

  • Environmental Science
  • Hydrology
  • Remote Sensing

Background:

  • Vulnerability curves are crucial for assessing drought losses and informing risk management.
  • Drought at risk populations (DRP) face challenges accessing drinking water during droughts.

Purpose of the Study:

  • To analyze factors contributing to the risk status of DRP.
  • To determine the optimal probability distribution for drought perturbations.
  • To compare the effectiveness of NDVI and EVI in drought vulnerability assessment.

Main Methods:

  • Standardization of disaster data from the Yangtze River basin (2013).
  • Parameter estimation to determine the probability distribution of drought perturbations.
  • Analysis of vulnerability curves using NDVI and EVI variance ratios.

Main Results:

  • DRP data follows an optimal Weibull distribution (α = 0.05).
  • Most standardized DRP is concentrated between 0-0.2 (75% cumulative probability).
  • EVI demonstrates higher suitability than NDVI for estimating DRP vulnerability (higher R² values).

Conclusions:

  • Vulnerability curves effectively assess drought-related population risk.
  • EVI is a more reliable indicator than NDVI for drought vulnerability assessment.
  • Understanding DRP concentration and vegetation index response aids drought disaster management.