MULTI-TEMPORAL ANALYSIS OF VEGETATION DYNAMICS IN SARISKA RESERVE (2000-2025)

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Authors: Shraddha Sharma
Cited by: 0

Abstract

This report analyses long-term vegetation dynamics in Sariska Reserve, India, using multi-temporal satellite data from 2000–2025. Dry-season NDVI trends were assessed using MODIS data and non-parametric statistics, while climate–vegetation relationships were examined using CHIRPS monsoon rainfall with a lagged response framework. Landsat-based LandTrendr analysis was applied to identify episodic vegetation disturbance and recovery. Results indicate gradual long-term greening, strong interannual variability linked to lagged rainfall, and spatially heterogeneous, low-magnitude disturbance events characteristic of drought-related stress.

Fields of Study & Subjects

Remote Sensing in Agriculture Conservation Biodiversity and Resource Management Ecosystem dynamics and resilience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026