Astronomy & Space Sciences
Title : | Change prediction and modelling of dynamic natural eco-system using remotely sensed image data |
Area of research : | Astronomy & Space Sciences |
Focus area : | Image Processing and Machine Learning of
Remotely Sensed Data, Study area/ ecosystem:
Sundarban mangroves |
Contact info : | tanumi_k@nrsc.gov.in |
Details
Executive Summary : | The objective is to approach this problem through nonlinear probability modeling, where prior knowledge is required to define a sensible state representation, together with parametric forms of transition and observation probabilities. In this research, the aim is to introduce a new approach to learning nonlinear dynamic systems and show that it performs well on rather high-dimensional time series datasets compared to standard models such as Hidden Markov Models or linear predictors. The developed prediction model (deliverable) will thus help to adopt a proper preventive, restoration and utilization measure of natural resources and can also be proposed on case-specific basis which would lead to sustainable management of the pristine natural ecosystem. |
Co-PI: | Dr. (Mrs) Tanumi Kumar, National Remote Sensing Centre (NRSC), Hyderabad |
Organizations involved