Kunwar K. Singh


Dr. Kunwar Singh is a Geospatial Scientist at AidData and an Affiliate Faculty at the Center for Geospatial Analysis at William & Mary. His research focuses on land and vegetation dynamics and their impacts on natural resources. He utilizes a large data processing framework and geospatial technology to study environmental change issues and model future impacts to natural resources.


Dr. Singh’s educational background includes a Master of Science in Environmental Science and Master of Technology in Remote Sensing & GIS. He holds a doctorate in Forestry and Environmental Resources from North Carolina State University with a focus on quantifying landscape heterogeneity.


Dr. Singh’s research and teaching practices stem from the question: How can the Earth system support future land conversion and accelerating natural resource consumption under a changing climate? He develops methods for large data processing, the study of environmental change issues, and modeling future impacts to natural resources.

Dr. Singh focused on remote sensing and the impacts of land conversion. He developed eco-hydrological models for water-stressed regions to understand how agricultural intensification and land conversion affects the availability of water resources. He used multi-sensor data integration methods for generating time-series land conversion data to quantify changes in agricultural and natural resources. He continues to serve as an academic advisor to the NASA DEVELOP program at the Center for Geospatial Research at the University of Georgia.

His work has been published in multiple journals with international recognition and readership, such as the Journal of Environmental Management, the IEEE's Journal of Selected Topics in Applied Earth Observations and Remote Sensing, the International Society of Photogrammetry and Remote Sensing’s Journal of Photogrammetry and Remote Sensing, the International Journal of Applied Earth Observation and Geoinformation, and Urban Ecosystems. Dr. Singh's works is transformative, as it provides empirical evidence that reduced LiDAR points are a viable solution for high accuracy regional-scale mapping and assessments of forest ecosystems.


Dr. Singh has over 15 years of experience in remote sensing data acquisition, processing, and analysis. A distinguishing feature of his research is the application of LiDAR (light detection and ranging) and UAS (unmanned aircraft systems) to measure, map, and model landscape characteristics and resources.

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