TU2.R14.2
Measuring Crop Height with GEDI Full-Waveform LiDAR and Sentinel-2 Multispectral Data: Toward Rapid Assessment of Biomass and Precision Agriculture Applications
Sarah Tasnim, Sorin Popescu, Texas A&M University
Session:
TU2.R14: Agriculture: Precision Agriculture & Crop Metrics II Oral
Track:
Land Applications
Location:
Jefferson East
Presentation Time:
Tuesday, 11 August, 11:15 - 11:30
Session Co-Chairs:
Sebastian Marshall, University of Virginia and Bosen Shao, George Mason University
Presentation
Discussion
Resources
No resources available.
Session TU2.R14
TU2.R14.1: Flash Vs. Seasonal Drought: Identifying The Characteristic Timescale Of Soil Moisture Stress For Predicting Crop-Specific Yield Anomalies
Sebastian R.O. Marshall, Thanh Nhan Duc Tran, Venkataraman Lakshmi, University of Virginia
TU2.R14.2: Measuring Crop Height with GEDI Full-Waveform LiDAR and Sentinel-2 Multispectral Data: Toward Rapid Assessment of Biomass and Precision Agriculture Applications
Sarah Tasnim, Sorin Popescu, Texas A&M University
TU2.R14.3: Two-stage Detection of Corn and Soybean Harvest Events Using Harmonized Landsat Sentinel-2 Time Series
Bosen Shao, Liping Di, Chen Zhang, Hui Li, Ziao Liu, Hanxi Li, George Mason University
TU2.R14.4: An Integrated Web-Based Cyber Platform for County-Level Crop Yield Prediction Using Deep Learning in Support of USDA NASS
Zhou Zhang, Xiaoyu Wang, University of Wisconsin-Madison; Yuchi Ma, Stanford University; Meiliu Wu, University of Glasgow; Songxi Yang, Haiyue Liu, Qunying Huang, University of Wisconsin-Madison; Zhengwei Yang, USDA National Agricultural Statistics Service
Resources
No resources available.