CLIMATE CHANGE AND SUNDARBANS: Artificial Intelligence & Machine learning applications to Conserve, Restore and Secure the Deltaic Ecosystems

Activity: Talk or presentationInvited talkResearch


GIS Aided Environmental Planning and Management (ES216)
Environmental Science and Engineering Department.
Indian Institute of Technology Bombay
Powai, Mumbai, India

Sundarban Biosphere Reserve (SBR), a diversified deltaic ecosystem in India and the home of a vast range of flora, fauna, and human population are highly vulnerable to disasters, coastal erosion, and inundation. Mangrove forests being the abode of diverse fauna and flora are vital for healthy coastal ecosystems. These forests act as a carbon sequester and form a natural coastline protection shield against floods, storms, and cyclones. The Mangroves of the Sundarban biosphere reserve, being one of the most dynamic and productive ecosystems in the world, are under constant degradation. Conservation, restoration, and secure of mangrove forests remain a big challenge due to the large and inaccessible areas which makes field assessment difficult and time-consuming. Remote sensing Artificial Intelligence, machine learning, and GIS applications along with various digital image classification approaches seem to be promising in providing better and more accurate results in mapping and monitoring the mangroves ecosystem. So present presentation focuses on the scope and opportunities of remote sensing and GIS application on mangrove ecosystems.
Period22 Mar 2022
Held atIndian Institute of Technology - Mumbai, India
Degree of RecognitionInternational