Decadal High-Resolution Monitoring of Climate-Driven Phenological Shifts Across Diverse Vegetation Zones of the Great Himalayan National Park Conservation Area

Vegetation phenology is a sensitive indicator of climate change, particularly in mountainous ecosystems where elevation-driven climatic gradients strongly influence growing season dynamics. This study examined the spatial and inter-annual variability of the Start of Season (SoS), End of Season (EoS), and Length of Season (LoS) across distinct vegetation zones of the Great Himalayan National Park Conservation Area (GHNPCA) from 2015 to 2025. To achieve a decadal timeline, an integrated multi-sensor Enhanced Vegetation Index (EVI) time series was developed on Google Earth Engine, utilizing Landsat 8 (2015–2017) and Sentinel-2 (2018–2025) surface reflectance data. Minimum temperature (Tmin) and precipitation data from ERA5-Land and CHIRPS were topographically downscaled to 30 m using orographic gradients and analyzed to quantify climatic controls. Results showed pronounced altitudinal gradients, with earlier SoS, later EoS, and longer LoS in low-elevation forests, and short, thermally constrained seasons in alpine zones. Pre-season Tmin increases strongly advanced SoS, while precipitation effects were spatially heterogeneous and topographically mediated. These findings highlight the need for elevation and plant functional type specific monitoring to improve phenological projections mitigate the risks of trophic mismatches and guide climate adaptation strategies in the Himalaya.

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Publication Details

Journal
Journal of Geomatics
Published
2026-10-28
DOI
https://doi.org/10.58825/jog.2026.20.2.283
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Decadal High-Resolution Monitoring of Climate-Driven Phenological Shifts Across Diverse Vegetation Zones of the Great Himalayan National Park Conservation Area

Tara Chand, Arijit Roy, Aditi Ahlawat, Sanjo Jose Veliyathukudy
1 links
Journal of Geomatics
Remote Sensing in Agriculture
article

Decadal High-Resolution Monitoring of Climate-Driven Phenological Shifts Across Diverse Vegetation Zones of the Great Himalayan National Park Conservation Area

Tara Chand, Arijit Roy, Aditi Ahlawat, Sanjo Jose Veliyathukudy
article en

Abstract

Vegetation phenology is a sensitive indicator of climate change, particularly in mountainous ecosystems where elevation-driven climatic gradients strongly influence growing season dynamics. This study examined the spatial and inter-annual variability of the Start of Season (SoS), End of Season (EoS), and Length of Season (LoS) across distinct vegetation zones of the Great Himalayan National Park Conservation Area (GHNPCA) from 2015 to 2025. To achieve a decadal timeline, an integrated multi-sensor Enhanced Vegetation Index (EVI) time series was developed on Google Earth Engine, utilizing Landsat 8 (2015–2017) and Sentinel-2 (2018–2025) surface reflectance data. Minimum temperature (Tmin) and precipitation data from ERA5-Land and CHIRPS were topographically downscaled to 30 m using orographic gradients and analyzed to quantify climatic controls. Results showed pronounced altitudinal gradients, with earlier SoS, later EoS, and longer LoS in low-elevation forests, and short, thermally constrained seasons in alpine zones. Pre-season Tmin increases strongly advanced SoS, while precipitation effects were spatially heterogeneous and topographically mediated. These findings highlight the need for elevation and plant functional type specific monitoring to improve phenological projections mitigate the risks of trophic mismatches and guide climate adaptation strategies in the Himalaya.

Journal of GeomaticsVol. 20(2)
Forest Research Institute (IN), Indian Institute of Remote Sensing (IN)
Climate action, Life on land
Openalex Percentile: Top 16%
Remote Sensing in Agriculture
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