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Ganguly-01 Project Profile   (updated 30-Oct-2015)
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Project Title:Reducing Uncertainties in Satellite-Derived Forest Aboveground Biomass Estimates Using a High Resolution Forest Cover Map

Science Team

Sangram Ganguly, NASA ARC BAERI (Project Lead)
Cristina Milesi, NASA ARC
Ramakrishna (Rama) Nemani, NASA ARC

Project Duration: 2014 - 2017
Solicitation:NASA: Carbon Monitoring System (2014)
Abstract: Several studies to date have provided an extensive knowledge base for estimating forest aboveground biomass (AGB) and recent advances in space-based modeling of the 3-D canopy structure, combined with canopy reflectance measured by passive optical sensors and radar backscatter, are providing improved satellite-derived AGB density mapping for large ... [more]
  • Land Biomass


Sangram Ganguly, NASA ARC BAERI
Subodh Kalia, Bay Area Environmental Research Institute
Cristina Milesi, NASA ARC
Ramakrishna (Rama) Nemani, NASA ARC

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Project URL(s): None provided.
Product Title:  Aboveground biomass at Landsat scale and Lidar-derived biomass maps.
Spatial Extent:  CONUS
Spatial Resolution:  30 m
Time Period:  2000-2012
Temporal Frequency:  Yearly
Status:  Available

Product Title:  Tree cover maps.
Spatial Extent:  CONUS
Spatial Resolution:  1 m
Time Period:  2010-2012
Temporal Frequency:  Yearly
Status:  Available

Publications: Basu, S., S. Ganguly, S. Mukhopadhyay, R. Dibiano, M. Karki and R. Nemani.2015. DeepSat - A Learning framework for Satellite Imagery, ACM SIGSPATIAL 2015

Basu, s., M. Karki, S. Ganguly, R. DiBiano, S. Mukhopadhyay, R. Nemani.2015. Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets, European Symposium on Artificial Neural Networks, ESANN 2015

Basu, S., Ganguly, S., Nemani, R. R., Mukhopadhyay, S., Zhang, G., Milesi, C., Michaelis, A., Votava, P., Dubayah, R., Duncanson, L., Cook, B., Yu, Y., Saatchi, S., DiBiano, R., Karki, M., Boyda, E., Kumar, U., Li, S. 2015. A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Transactions on Geoscience and Remote Sensing. 53(10), 5690-5708. DOI:

Zhang, G., Ganguly, S., Nemani, R. R., White, M. A., Milesi, C., Hashimoto, H., Wang, W., Saatchi, S., Yu, Y., Myneni, R. B. 2014. Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data. Remote Sensing of Environment. 151, 44-56. DOI: 10.1016/j.rse.2014.01.025

2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
  • G-LiHT: Multi-Sensor Airborne Image Data from Denali to the Yucatan   --   (Bruce Cook, Lawrence A Corp, Douglas Morton, Joel McCorkel)   [abstract]   [poster]

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