Manish Verma

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I am interested in geospatial science and its application for spatiotemporal analyses, policy, and decision-making. I have nearly fifteen years of experience in combining observations from multiple satellite and airborne sensors, vector data from secondary and primary sources, and models to monitor and understand spatiotemporal variation across a range of topics. My specific interests include geospatial analysis, image processing, location analysis, spatially distributed dynamic models, model inversion, radiative transfer modeling, signal processing, and nonlinear dynamics. In my research and consulting I have analyzed a variety of data including remotely sensed data such as from MODIS, Landsat, AVHRR, OCO-2, AIRS, AVIRIS, and SRTM; vector data such as from Census, road network, FLUXNET, SURFRED, OzFlux, Phenocam, and weather stations; and gridded and reanalysis data such as from CMIP5, NCEP, NOAA, and NASA. I often combine multiple languages including MATLAB, R, and Python, extensively use ArcGIS and QGIS, and occasionally also turn to Mathematica and ENVI/IDL. I have assimilated data across multiple spatial and temporal scales to bridge gaps in our understanding of small-scale processes and large-scale patterns. My domain knowledge includes remote sensing, mass and energy exchange between the land surface and the atmosphere, photosynthesis, carbon and water cycle, ecosystem ecology, and watershed analyses. I have set up and used instruments such as radiometer, spectrometer, gas exchange, and PAR sensors. A list of my publications is available at

Before coming to research/academia I worked for more than a decade with non-governmental organizations promoting better and inclusive management of natural resources in ecologically fragile areas. I also worked as a consultant and advised several organizations including Oxfam, KfW, Winrock, and Aga Khan Rural Support Program. I love wild animals and go through phases where my enchantment skips from birds to reptiles to mammals. I like reading, cooking, seeking connections between abstract ideas and realities, and traveling with my spouse (Preeti) and my son (Aman).