Scaling Deep Learning Models to High Resolution Satellite Image Classification on the NASA Earth Exchange Platform
NASA Earth Exchange (NEX) is a collaborative supercomputing facility housed in the NASA Ames High-end Computing Facility. Some of the key projects inside of NEX use computational methods, physical models and new analytical techniques to derive insights from massive data generated from a suite of satellite-derived imagery products. These datasets are geared towards mission-centric requirements, however, they are widely used by the scientific research community, stakeholders and commercial companies for a number of applications. We at NEX have invested on new hardware technologies and state-of-art machine learning models to classify and segment land cover objects from very high resolution satellite and airborne imagery and scaled it at continental scales by processing almost a quarter million image scenes every year to derive features that are critical for decision making for a number of government agencies. Here we will showcase some of the work that is being currently performed inside of NEX on the application of deep learning algorithms for land cover classification, crop segmentation, and climate downscaling.
Dr. Sangram Ganguly is a senior research scientist at the Bay Area Environmental Research Institute and at the Biospheric Science Branch at NASA Ames Research Center, Moffett Field, California. His work leverages expertise across a range of disciplines, including cloud computing solutions for big data science and analytics, machine learning, advanced satellite remote sensing and image analytics, and climate sciences. Dr. Ganguly did his PhD at Boston University (USA). Prior to that, he graduated with an integrated masters (BS and MS) degree in geosciences from the Indian Institute of Technology (IIT), Kharagpur, India, in 2004. He is an active panelist for the NSF and NASA programs, a science team member for the NASA Carbon Monitoring System Program and an academic reviewer of more than 24 refereed journals. Dr. Ganguly's scientific research has been highlighted in mainstream news media, and he has also been the recipient of five NASA achievement awards that were recognized in the fields of ecosystem forecasting, climate science, innovative use of cloud-computing for Earth sciences and remote sensing. He is a cofounding member of the NASA Earth Exchange Collaborative and Supercomputing Facility at NASA Ames and a founding member and developer of the OpenNEX Platform.