TUP2.PT.3

COMPREHENSIVE EVALUATION OF MONOCULAR DEPTH ESTIMATION METHODS IN LOW-ALTITUDE FOREST ENVIRONMENT

Junhua Kang, Jiwen Jia, Guijun Yang, Chang’an University, China
Session:
TUP2.PT: Forest and Vegetation Poster
Track:
Land Applications
Location:
Plaza Ballroom: Poster Area T
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Session Co-Chairs:
Dongryeol Ryu, University of Melbourne and Subhadip Dey, IIT Kharagpur
Presentation
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Session TUP2.PT
TUP2.PT.1: Temporal Dynamics of Landcover Classification Over the Indian Sundarbans Using Sentinel-1
Sukanya Mukherjee, Vaishnavi Joshi, Dileep Singh, Subhadip Dey, Indian Institute of Technology Kharagpur, India
TUP2.PT.2: COMPARISON OF MULTIPLE MACHINE LEARNING ALGORITHMS FOR TREE SPECIES CLASSIFICATION IN TYPICAL BOREAL FORESTS
Shaoyi Chen, Chunying Wu, Tianjin University, China; Xiangnan Sun, National Forestry and Grassland Administration, China; Wei Chen, Tianjin University, China
TUP2.PT.3: COMPREHENSIVE EVALUATION OF MONOCULAR DEPTH ESTIMATION METHODS IN LOW-ALTITUDE FOREST ENVIRONMENT
Junhua Kang, Jiwen Jia, Guijun Yang, Chang’an University, China
TUP2.PT.4: URBAN VEGETATION MAPPING WITH HYPERSPECTRAL PRISMA DATA THROUGH AN ORIGINAL NMF-BASED UNMIXING ALGORITHM ASSOCIATED WITH THE AUGMENTED LINEAR MIXING MODEL ADDRESSING SPECTRAL VARIABILITY
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria
TUP2.PT.5: RCNN Algorithm for Oil Palm Tree Imagery Counting Using Unmanned Aerial Vehicle (UAV) Data
Valent Setiawan, Edy Irwansyah, Bina Nusantara University, Indonesia
TUP2.PT.6: ESTIMATION OF GROSS PRIMARY PRODUCTIVITY FOR GLOBAL BOREAL FORESTS USING LONG SHORT-TERM MEMORY NEURAL NETWORKS
Shuai Liu, Anhui Normal University, China; Wei He, Zhejiang University of Technology, China; Peipei Xu, Mengyao Zhao, Anhui Normal University, China; Chengcheng Huang, China University of Geosciences, China; Ngoc Tu Nguyen, Hohai University, China
Resources
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