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Correspondence to Author: Maryam Mohammadrezaei 

Department of Watershed Management, Faculty of Rangeland and Watershed Management, Gorgan, University of Agriculture and Natural Resources, Gorgan, Iran.

DOI: 10.52338/joes.2025.4297

Abstract:

This study presents a comprehensive comparison of three widely utilized remote-sensing-based drought indices: the Temperature Condition Index (TCI), Vegetation Condition Index (VCI), and Vegetation Health Index (VHI). It focuses on their effectiveness in monitoring drought conditions in Tehran during the significant 2015 El Niño event. By employing multitemporal Landsat data, these indices were computed to evaluate their capacity to capture both the spatial extent and severity of drought. The findings reveal notable temporal and spatial variations among the indices. The VCI, which primarily reflects vegetation health, exhibited greater sensitivity during the wet season (January-May), whereas the TCI, which assesses temperature-induced stress, identified larger drought areas in the dry season (August-November). The VHI, a composite index integrating both TCI and VCI, demonstrated balanced drought extent patterns. This study underscores that each index possesses unique strengths, rendering them complementary tools for drought monitoring in complex climatic regions such as Tehran. Understanding the distinctions among these indices can enhance the accuracy and applicability of information for drought management and policy formulation.

Citation:

Maryam Mohammadrezaei,Comparative Analysis Of Remote-Sensing-Based Drought Indices (Tci, Vci, And Vhi) For Monitoring Drought Conditions During The 2015 El Niño Event. Journal of Environmental And Sciences 2024.