Department of Natural Resources
Dr. Neeti is a quantitative Geographer who specializes in remote sensing and Geographic Information Science. Her research interests focus upon the development and application of spatio-temporal techniques to the study of physical environment. Much of her work has focused on developing improved algorithms that enable the mapping and monitoring of forest carbon, land cover, and land cover change at regional and global scale and analyzing associated uncertainties. She has been in the field of remote sensing and GIS for almost 16 years and has worked at Indian Space Research Organization, Goddard Space Flight Center, Boston University and Woods Hole Research Center.
Honors and AwardsResearch Scholarship for Masters in GIS for Development and Environment (2006-2007)
Spatial Analysis and Modeling Student Paper Award, Association of American Geographer, 2008
Graduate Student travel award 2008 - 2011
Selected PublicationsComparison of national level biomass maps for conterminous US: understanding pattern and causes of differences
Neeti Neeti, Robert Kennedy
Carbon Balance and Management,
Characterizing implications of two dimensional space-time orientations for principal components analysis of geographic time series
Neeti, N. and Eastman, J.R.
International Journal of Remote Sensing, 36(1), 290-299,
MODIS derived vegetation greenness trends in African Savanna: Deconstructing and localizing the role of changing moisture availability, fire regime and anthropogenic impact
Mishra, N. B., Crews, K. A., Neeti, N., Meyer, T., & Young, K. R.
Remote Sensing of Environment, 169, 192-204,
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
Roy et al.
International Journal of Applied Earth Observation and Geoinformation, 39, 142-159,
Extending T-mode canonical correlation analysis to T-mode pre-filtered canonical correlation analysis: A novel approach to discover shared patterns between two image time series
International Journal of Remote Sensing, 35(5), 1926-1935,