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