Work

Vegetation response trajectory under CDHEs stress

Year: 2026

Type: software

Abstract: This Python script computes vegetation recovery time, resistance time, and maximum loss under drough-hot stress at the pixel level using two drought-hot indices (CDHI and SCDHI) alongside detrended NDVI anomalies. It identifies drought-hot events when the index falls below –0.5, accounts for a lagged NDVI response, and sets the recovery threshold as –STD_MULTIPLIER times the standard deviation of NDVI during non‑drought periods (without subtracting the mean). For CDHI‑derived events, the algorithm enforces an additional filter: SCDHI must remain above –0.5 during the entire period from drought onset to full recovery. Optionally, it can discard events that are interrupted by a subsequent drought within the recovery window. The outputs are GeoTIFF files for each index, including resistance time (drought start to NDVI minimum), recovery time (minimum to recovery), maximum loss (threshold minus minimum NDVI), and event count, with all parameters (e.g., recovery time limit, consecutive months for recovery, aggregation strategy) user‑configurable at the top of the script.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21638781

Authors: Ma, Zice, Chunchen, Wang, Peng, Sun, Donghua, Chen, Yifan, Zhou

Institutions: Chuzhou University, Anhui Normal University, China University of Mining and Technology

Language: English

Topic: Hydrology and Drought Analysis

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7171533070

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