WE2.R10.2
RoofSense: A Remote Sensing and AI-Based Algorithm for Roof Materials Mapping
Zafer Yilmaz, University of California Los Angeles; Riyaaz Shaik, Berkshire Hathaway Inc.; Lale Erbay, Columbia University; Inga La Puma, United States Forest Services; Negar Elhami-Khorasani, University at Buffalo; Ertugrul Taciroglu, University of California Los Angeles
Session:
WE2.R10: GeoAI and Digital Twin Technologies for Remote Sensing Applications Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Wednesday, 12 August, 11:15 - 11:30
Session Co-Chairs:
Surya S Durbha, Indian Institute of Technology Bombay and Pratyush Talreja, Indian Institute of Technology Bombay
Presentation
Discussion
Resources
No resources available.
Session WE2.R10
WE2.R10.1: Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
Yogesh Bhattarai, Vijay Chaudhary, Wai Lim Ku, Sanjib Sharma, Howard University
WE2.R10.2: RoofSense: A Remote Sensing and AI-Based Algorithm for Roof Materials Mapping
Zafer Yilmaz, University of California Los Angeles; Riyaaz Shaik, Berkshire Hathaway Inc.; Lale Erbay, Columbia University; Inga La Puma, United States Forest Services; Negar Elhami-Khorasani, University at Buffalo; Ertugrul Taciroglu, University of California Los Angeles
WE2.R10.3: FROM CLOUD TO EDGE: DEPLOYABLE GEOAI FOR CROSS-HURRICANE DAMAGE ASSESSMENT
Pratyush Talreja, Surya S Durbha, Indian Institute of Technology Bombay
WE2.R10.4: CropSmart - a digital twin for making wiser cropping decisions nationwide
Liping Di, George Mason University; Haishun Yang, University of Nebraska-Lincoln; Cenlin He, National Center for Atmospheric Research; Juan Sesmero, Purdue University; Jenny Q. Du, Mississippi State University; xiaomao lin, Kansas State University; Liying Guo, Chen Zhang, George Mason University; Zhengwei Yang, Feng Gao, U.S. Department of Agriculture
Resources
No resources available.