WE4.R14.2
INTEGRATING GLCM TEXTURE WITH VEGETATION INDICES FOR IMPROVED WINTER WHEAT BIOMASS MONITORING USING UAV MULTISPECTRAL IMAGERY
Sheetal Kumari, Olga Walsh, Maaz Gardezi, Virginia Tech, United States
Session:
WE4.R14: Agriculture: Advanced Mapping & Harvest Detection IX Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Wed, 12 Aug, 16:30 - 16:45
Presentation
Discussion
Resources
No resources available.
Session WE4.R14
WE4.R14.1: A SYSTEMATIC COMPARISON OF SATELLITE‑BASED CROP PHENOLOGY CHARACTERIZATION METHODS IN THE U.S. MIDWEST
Zijun Yang, University of North Carolina Wilmington, United States; Yin Liu, Chunyuan Diao, University of Illinois Urbana-Champaign, United States
WE4.R14.2: INTEGRATING GLCM TEXTURE WITH VEGETATION INDICES FOR IMPROVED WINTER WHEAT BIOMASS MONITORING USING UAV MULTISPECTRAL IMAGERY
Sheetal Kumari, Olga Walsh, Maaz Gardezi, Virginia Tech, United States
WE4.R14.3: A SUPPORT VECTOR REGRESSION-BASED METHOD FOR SOIL TOTAL NITROGEN ESTIMATION INTEGRATING SENTINEL-2 REFLECTANCE AND SPECTRAL INDICES
Jiahui Han, Hebei GEO University, China; Xiujuan Li, Lei Lei, University of Electronic Science and Technology of China, China; Li Ni, Chinese Academy of Sciences, China; Xiaonan Guo, Hebei GEO University, China; Hua Wu, University of Electronic Science and Technology of China, China
WE4.R14.4: IMPROVED CROP TYPE MAPPING FROM LIMITED DATA BY INTEGRATING METADATA WITH MULTI-SPECTRAL IMAGES
Nagma Samreen Khan, Masato Toda, Tsenjung Tai, Kenta Senzaki, NEC Corporation, Japan
Contacts