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