About
Dr T V Ramachandra has Ph.D. in energy and environment from the Indian Institute of Science. At present, Coordinator of Energy and Wetlands Research Group (EWRG), at Centre for Ecological Sciences (CES), Indian Institute of Science (IISc). He teaches principles of remote sensing, digital image processing and Natural resources management. He has published over 377 research papers in reputed peer-reviewed international and national journals, 103 book chapters, 380 papers in international and national symposiums, and 23 books. In addition, he has delivered a number of plenary lectures at national and international conferences (1700+).
http://wgbis.ces.iisc.as.in/energy/, http://wgbis.ces.iisc.ac.in/grass
https://www.researchgate.net/profile/T_V_Ramachandra/publications
https://scholar.google.co.in/citations?user=Woh1fa8AAAAJ&hl=en
Details of the eleventh biennial lake conference is at
http://wgbis.ces.iisc.ac.in/energy/lake2024/index.php
Employment
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Indian Institute of Science Co-ordinator, EWRG & Faculty1996 - Present
Education
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Indian Institute of Science Ph.D1996 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (184)
- Machine Learning Based Assessment of Landscape Dynamics and Land Surface Temperature Save
- Soil environmental health linkages with the landscape structure in Raichur district, Karnataka, India Save
- Prioritization of natural resources rich regions (NRRZ) based on ecosystem (biotic and abiotic) extent and conditions Save
- Urban heat island linkages with the landscape morphology Save
- Insights into the linkages of forest structure dynamics with ecosystem services Save
- Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management Save
- Visualization of Ecologically Sensitive Regions at Disaggregated Levels in the Central Western Ghats Save
- Bangalore Lakes Information System (BLIS) for Sustainable Management of Lakes Save
- Landscape ecological modeling to identify ecologically significant regions in Tumkur district, Karnataka Save
- Relative performance evaluation of machine learning algorithms for land use classification using multispectral moderate resolution data Save