Research
The research under this program has included:
- New ways of classifying vegetation and habitat using remotely sensed
data especially multi-date NDVI, and developing:
- An eco-climatic distance measure that quantifies eco-climate and vegetation
variability in a single continuously varying scale and has led to an index of beta diversity
besides enabling analyses of corridors for different species
- An index of landscape heterogeneity based on remote sensing that has three
components of variability at 1 sq km resolution: ecosystem, seasonality and edge.
- Using species niche modeling techniques to predict and map potential
habitat of threatened, endemic species and potential invasive species.
Modeling Prosopis juliflora Spread in Kachchh.
Predicting Indian Fox Distribution Using Ecological Niche Modeling
- Model Land Use/Cover Change (LUCC) to understand drivers of change and
also to project future scenarios to influence policy issues in a proactive manner.
2000
2020
 
Modeling Landcover Change for Bannerghatta National Park
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