Subhasis Ghosh
Department of Geosciences
Hometown: Bolpur, West Bengal, India

Research Areas: Urban Agglomeration, Climate Change, Weather and Climate Modelling, Geospatial Programming, Remote Sensing, GIS, and Human-Environment Interactions

Office: 2194A Haley Center



M.S., Geography, Auburn University
P.G. Diploma, Urban Planning and Development, Indira Gandhi National Open University
P.G. Diploma, Geoinformatics, Maulana Abul Kalam Azad University of Technology
M.A., Geography, Visva-Bharati University
B.A. (Hons.), Geography, Visva-Bharati University

Selected Publications

  1. Das, R., Bandopadhyay, S., Ghosh, S., Das, M., Chowdhury, M., Sánchez, A. C., & Kumar, C., Mitra, & C., (2023). Have covid lockdowns really improved global air quality? –Hierarchical observations from the perspective of urban agglomerations using atmospheric reanalysis data. Physics and Chemistry of the Earth, Elsevier.
  2. Cotrina Sánchez, A., Rojas Briceño, N. B., Bandopadhyay, S., Ghosh, S., Torres Guzmán, C., Oliva, M., Guzman, B. K., & Salas López, R. (2021). Biogeographic Distribution of Cedrela spp. Genus in Peru Using MaxEnt Modeling: A Conservation and Restoration Approach. Diversity, 13(6), 261.
  3. Ghosh, S., Bandopadhyay, S., & Sánchez, D. A. Cotrina. (2021). Long-Term Sensitivity Analysis of Palmer Drought Severity Index (PDSI) through Uncertainty and Error Estimation from Plant Productivity and Biophysical Parameters. Environ. Sci. Proc., 3(1), 57.
  4. Jha, V. C., & Ghosh, S. (2020). Environmental Risk Assessment: A Geomorphic Investigation over the Bolpur-Santiniketan-Illambazar Lateritic Patch of Birbhum District, West Bengal, India. National Geographical Journal of India, 66(2), 94-110. https://doi:10.48008/ngji.1733
  5. Bandopadhyay, S., Das, B., Sánchez, A. C., Banerjee, S. P., Banerjee, B. P., & Ghosh, S. (2023). Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach. In IEEE (Ed.), 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1-4). Hyderabad, India. doi:10.1109/MIGARS57353.2023.10064558

Last updated: 01/11/2024