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
Session:
WE4.R14: Agriculture: Advanced Mapping & Harvest Detection IX Oral
Track:
Land Applications
Location:
Jefferson East
Presentation Time:
Wednesday, 12 August, 16:30 - 16:45
Session Co-Chairs:
Zijun Yang, University of North Carolina Wilmington and Sheetal Kumari, Virginia tech
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; Yin Liu, Chunyuan Diao, University of Illinois Urbana-Champaign
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
WE4.R14.3: A SUPPORT VECTOR REGRESSION-BASED METHOD FOR SOIL TOTAL NITROGEN ESTIMATION INTEGRATING SENTINEL-2 REFLECTANCE AND SPECTRAL INDICES
Jiahui Han, Technology Innovation Center For Emergency Surveying and Mapping, Ministry of Natural Resources, PRC, Hebei GEO University; Xiaonan Guo, Hebei GEO University; Zhang Yao, Chong Li, Qihua Zhu, Hongyuan Ouyang, Technology Innovation Center For Emergency Surveying and Mapping, Ministry of Natural Resources, PRC; Yuanliang Cheng, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
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
Resources
No resources available.