Sciences and Exploration Directorate

Praveen Noojipady



Org Code: 619

Mail Code: 619
Greenbelt, MD 20771


Brief Bio

Praveen Noojipady is a Sr. Scientist in the Terrestrial Information Systems Laboratory at the NASA's Goddard Space Flight Center. Praveen is a trained scientist in the analysis and processing of remotely sensed data, integration of structured and unstructured datasets, algorithm and software development, and application of machine learning/artificial intelligence tools for large scale ecological and atmospheric research.

Research Interests

Earth Science: Remote Sensing

  • Satellite Remote Sensing, Computer Vision, Data Analytics
  • Algorithm and Software Development for Science Applications
  • Statistical Modeling, Machine Learning, Artificial Intelligence
  • Actionable Pathways for Climate Change Mitigation - Sustainable Food Production and Monitoring Deforestation, Active Fires, Burned Areas, Land Use, and Land Cover
  • Land Atmosphere Interactions, Particulate Matter, Human Health


2016 Ph.D. Geographical Sciences, University of Maryland-College Park,                                                                                   Land use and Land cover Change as a Driver of Ecosystem Degradation across Biomes. Advisor: Stephen D. Prince

2004 M.E. Civil Engineering/ Water Resources, Bangalore University           

2000 B.E. Civil Engineering, Bangalore University

Teaching Experience

Introduction to Quantitative Methods for the Geographic Environmental Sciences (GEOG306), Dept. of Geographical Sciences, University of Maryland, College Park – Summer (2009, 2010, 2011) and Winter (2010, 2011) Semesters

Professional Societies

American Geophysical Union (AGU)

2008 - Present

Ecological Society of America (ESA)

2012 - Present

Selected Publications


Montesano, P. M., C. Neigh, M. J. Macander, M. Feng, and P. Noojipady. 2020. The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone Environmental Research Letters [10.1088/1748-9326/abb2c7]

Rausch, L. L., H. K. Gibbs, I. Schelly, et al. A. Brandão, D. C. Morton, A. C. Filho, B. Strassburg, N. Walker, P. Noojipady, P. Barreto, and D. Meyer. 2019. Soy expansion in Brazil's Cerrado Conservation Letters [10.1111/conl.12671]

Carlson, K. M., R. Heilmayr, H. K. Gibbs, et al. P. Noojipady, D. N. Burns, D. C. Morton, N. F. Walker, G. D. Paoli, and C. Kremen. 2017. Effect of oil palm sustainability certification on deforestation and fire in Indonesia Proceedings of the National Academy of Sciences 201704728 [10.1073/pnas.1704728114]

Noojipady, P., D. C. Morton, W. Schroeder, et al. K. M. Carlson, C. Huang, H. K. Gibbs, D. Burns, N. F. Walker, and S. D. Prince. 2017. Managing fire risk during drought: the influence of certification and El Niño on fire-driven forest conversion for oil palm in Southeast Asia Earth System Dynamics 8 (3): 749-771 [10.5194/esd-8-749-2017]

Noojipady, P., D. C. Morton, M. N. Macedo, et al. D. C. Victoria, C. Huang, H. K. Gibbs, and E. L. Bolfe. 2017. Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome Environmental Research Letters 12 (2): 025004 [10.1088/1748-9326/aa5986]

Feng, M., J. O. Sexton, C. Huang, et al. A. Anand, S. Channan, X.-P. Song, D.-X. Song, D.-H. Kim, P. Noojipady, and J. R. Townshend. 2016. Earth science data records of global forest cover and change: Assessment of accuracy in 1990, 2000, and 2005 epochs Remote Sensing of Environment 184 73-85 [10.1016/j.rse.2016.06.012]

Garrett, R. D., K. M. Carlson, X. Rueda, and P. Noojipady. 2016. Assessing the potential additionality of certification by the Round table on Responsible Soybeans and the Roundtable on Sustainable Palm Oil Environmental Research Letters 11 (4): 045003 [10.1088/1748-9326/11/4/045003]

Morton, D. C., P. Noojipady, M. M. Macedo, et al. H. Gibbs, D. C. Victoria, and E. L. Bolfe. 2016. Reevaluating suitability estimates based on dynamics of cropland expansion in the Brazilian Amazon Global Environmental Change 37 92-101 [10.1016/j.gloenvcha.2016.02.001]

Sexton, J. O., P. Noojipady, X.-P. Song, et al. M. Feng, D.-X. Song, D.-H. Kim, A. Anand, C. Huang, S. Channan, S. L. Pimm, and J. R. Townshend. 2015. Conservation policy and the measurement of forests Nature Climate Change [10.1038/nclimate2816]

Noojipady, P., S. D. Prince, and K. Rishmawi. 2015. Reductions in productivity due to land degradation in the drylands of the southwestern united states Ecosystem Health and Sustainability 1 (8): 1-15 [10.1890/ehs15-0020.1]

Channan, S., M. Feng, D.-H. Kim, et al. J. O. Sexton, X.-P. Song, D.-X. Song, P. Noojipady, K. Collins, A. Anand, and J. R. Townshend. 2015. The GLS+: An Enhancement of the Global Land Survey Datasets Photogrammetric Engineering & Remote Sensing 81 (7): 521-525 [10.14358/pers.81.7.521]

Gibbs, H. K., L. Rausch, J. Munger, et al. I. Schelly, D. C. Morton, P. Noojipady, B. Soares-Filho, P. Barreto, L. Micol, and N. F. Walker. 2015. Brazil’s Soy Moratorium Science 347 (6220): 377-378 [10.1126/science.aaa0181]

Sexton, J. O., P. Noojipady, A. Anand, et al. X.-P. Song, S. McMahon, C. Huang, M. Feng, S. Channan, and J. R. Townshend. 2015. A model for the propagation of uncertainty from continuous estimates of tree cover to categorical forest cover and change Remote Sensing of Environment 156 418-425 [10.1016/j.rse.2014.08.038]

Kim, D.-H., J. O. Sexton, P. Noojipady, et al. C. Huang, A. Anand, S. Channan, M. Feng, and J. R. Townshend. 2014. Global, Landsat-based forest-cover change from 1990 to 2000 Remote Sensing of Environment 155 178-193 [10.1016/j.rse.2014.08.017]

Sexton, J. O., X.-P. Song, M. Feng, et al. P. Noojipady, A. Anand, C. Huang, D.-H. Kim, K. M. Collins, S. Channan, C. DiMiceli, and J. R. Townshend. 2013. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error International Journal of Digital Earth 6 (5): 427-448 [10.1080/17538947.2013.786146]

Gutman, G., C. Huang, G. Chander, P. Noojipady, and J. G. Masek. 2013. Assessment of the NASA–USGS Global Land Survey (GLS) datasets Remote Sensing of Environment 134 249-265 [10.1016/j.rse.2013.02.026]

Townshend, J., J. G. Masek, C. Q. Huang, et al. E. F. Vermote, F. Gao, S. Channan, J. O. Sexton, M. Feng, R. Narasimhan, D. Kim, K. Song, D. X. Song, X. P. Song, P. Noojipady, B. Tan, M. C. Hansen, M. X. Li, and R. E. Wolfe. 2012. Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges International Journal of Digital Earth 5 (5): 373-397 [10.1080/17538947.2012.713190]

Carroll, M., J. Townshend, C. DiMiceli, P. Noojipady, and R. Sohlberg. 2009. A new global raster water mask at 250 m resolution International Journal of Digital Earth 2 (4): 291-308 [10.1080/17538940902951401]

Thenkabail, P. S., C. M. Biradar, P. Noojipady, et al. V. Dheeravath, Y. Li, M. Velpuri, M. Gumma, O. R. Gangalakunta, H. Turral, X. Cai, J. Vithanage, M. A. Schull, and R. Dutta. 2009. Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium International Journal of Remote Sensing 30 (14): 3679-3733 [10.1080/01431160802698919]

Biradar, C. M., P. S. Thenkabail, P. Noojipady, et al. Y. Li, V. Dheeravath, H. Turral, M. Velpuri, M. K. Gumma, O. R. Gangalakunta, X. L. Cai, X. Xiao, M. A. Schull, R. D. Alankara, S. Gunasinghe, and S. Mohideen. 2009. A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing International Journal of Applied Earth Observation and Geoinformation 11 (2): 114-129 [10.1016/j.jag.2008.11.002]