Advances in Agricultural Remote Sensing and Artificial Intelligence 2
Type: Virtual Paper
Day: 2/25/2022
Start Time: 2:00 PM
End Time: 3:20 PM
Theme:
Sponsor Group(s):
Remote Sensing Specialty Group
, Geographic Information Science and Systems Specialty Group
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Organizer(s):
Zijun Yang
, Chunyuan Diao
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Chairs(s):
Zijun Yang, Department of Geography and GIScience, University of Illinois at Urbana-Champaign
; Chunyuan Diao, Department of Geography and GIScience, University of Illinois at Urbana-Champaign
Description:
Climate change and increased climate variability have posed great challenges to food security given the continuous increasing global population. More comprehensive understandings of agricultural system dynamics and their responses to climatic and environmental changes are urgently needed. With the recent advances in remote sensing technologies, new satellite missions and remote sensing datasets keep emerging. The developments of artificial intelligence (AI) and machine learning, along with geospatial big data of various spatial, temporal, and spectral resolutions, have unprecedentedly enabled us to better understand the dynamics of natural and human-induced processes in agricultural systems. The improved modeling capabilities of the advanced AI models facilitate the assessments of impacts of climate change on agriculture (e.g., changes in land use dynamics, crop phenology, crop yield, etc.) using variables derived from remote sensing and other sources of data.
Presentation(s), if applicable
Yaqian He, University of Arkansas - Fayetteville; Impacts of irrigation-climate interactions on crop yields in Arkansas Delta |
Colin Doyle, University of Texas - Austin; Reconstructing the Rio Bravo Watershed and Ancient Maya Wetland Agriculture |
Dameng Yin, SUNY - Buffalo; How does UAV-LiDAR attributes affect the measurement of individual mangroves? |
Joseph Kalinzi, ; Using Multispectral Drone Imaging to Monitor Soybean Cyst Nematode |
Chunyuan Diao, University of Illinois Urbana-Champaign; Towards remote sensing modeling framework for crop phenological characterization |
Non-Presenting Participants Agenda
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Advances in Agricultural Remote Sensing and Artificial Intelligence 2
Description
Virtual Paper
Contact the Primary Organizer
Zijun Yang - yangz@uncw.edu
Session Sponsored By
