Sangram Ganguly
Organization:
Bay Area Environmental Research Institute
Email:
Business Phone:
Work:
(650) 604-3329
First Author Publications:
- Ganguly, S., et al. (2014), Green Leaf Area and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation, Biophysical Applications Satellite Remote Sensing. Berlin/Heidelberg: Springer Verlag, 43-61, doi:10.1007/978-3-642-25047-7_2.
- Ganguly, S., et al. (2012), Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration, Remote Sens. Environ., 122, 185-202.
Co-Authored Publications:
- Ferraz, A., et al. (2018), Carbon Storage Potential in Degraded Forests of Kalimantan, Indonesia. Environmental Research Letters, 13, doi:10.1088/1748-9326/aad782.
- Kumar, U., et al. (2017), Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing, Remote Sens., 9, 1105, doi:10.3390/rs9111105.
- Li, S., J. Weigand, and S. Ganguly (2017), The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective, J Remote Sensing &, Gis, 6, 1-6, doi:10.4172/2469-4134.1000190.
- Li, S., et al. (2017), Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI, Advances in Remote Sensing, 6, 147-159, doi:10.4236/ars.2017.62011.
- Choi, S., et al. (2016), Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height, Global Ecology and Biogeography, (Global Ecol. Biogeogr., doi:10.1111/geb.12503.
- Basu, S., et al. (2015), A Semiautomated Probabilistic Framework for Tree-Cover Delineation from 1-m NAIP Imagery Using a High-Performance Computing Architecture, IEEE Trans. Geosci. Remote Sens., 53, 5690-5708, doi:10.1109/TGRS.2015.2428197.
- Bi, J., et al. (2015), Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests, Environmental Research Letters, 10, doi:10.1088/1748-9326/10/6/064014.
- Zhang, G., et al. (2014), Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data, Remote Sensing of Environment, doi:10.1016/j.rse.2014.01.025.
- Choi, S., et al. (2013), Resource Limitations Model of Tree Heights, Remote Sens., 5, 284-306, doi:10.3390/rs5010284.
- Hashimoto, H., et al. (2013), Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. Remote Sensing, Remote Sensing, 5, 1258-1273, doi:10.3390/rs5031258.
- Shi, Y., et al. (2013), Allometric Scaling and Resource Limitations Model fo Tree Heights: Part 1. Model Optimization and Testing over Continental USA, Remote Sens., 5, 284-306, doi:10.3390/rs5010284.
- Xu, L., et al. (2013), Temperature and vegetation seasonality diminishment over northern lands, vegetation seasonality diminishment over northern lands. Nature: Climate Change, 3, 581-586, doi:10.1038/nclimate1836.
- Hashimoto, H., et al. (2012), Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data, Remote Sensing, 4, 303-326.
- Xu, L., et al. (2011), Widespread decline in greenness of Amazonian vegetation due to the 2010 drought, Geophys. Res. Lett., 38, L07402, doi:10.1029/2011GL046824.
- Milesi, C., et al. (2010), Decadal Variations in NDVI and Food Production in India, Remote Sensing, 2, 758-776.
- Samanta, A., et al. (2010), Amazon forests did not green-up during the 2005 drought, Geophys. Res. Lett., 37, L05401.