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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-13.4

DEVELOPMENT OF A LONG-TERM DATASET OF CHINA SURFACE URBAN HEAT ISLAND FOR POLICY MAKING: SPATIO-TEMPORAL CHARACTERISTICS

Lu Niu, Renmin University of China, China; Zhong Peng, Ronglin Tang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Zhengfeng Zhang, Renmin University of China, China
Session:
Thermal and Non-optical Monitoring of Urban Areas
Track:
Land Applications
Presentation Time:
Fri, 16 Jul, 11:15-11:20 (UTC)
Fri, 16 Jul, 13:15-13:20 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:15-19:20 China Standard Time (UTC +8)
Fri, 16 Jul, 07:15-07:20 Eastern Daylight Time (UTC -4)
Session Chair:
Christian Heipke, Leibnitz Universitaet Hannover (LUH)
Session Manager:
Songyao Huai
Presentation
Discussion
Resources
Session FR2.MM-13
FR2.MM-13.1: TEMPORAL NORMALIZATION OF LAND SURFACE TEMPERATURE RETRIEVED FROM LANDSAT-8 DATA
Jie Wang, Guanghui Wang, Yu Liu, Jianwei Qi, Land Satellite Remote Sensing Application Center of The Ministry of Natural Resources, China
FR2.MM-13.3: DEVELOPMENT OF DOWNSCALED URBAN LAND SURFACE TEMPERATURE FOR NEW YORK CITY
Abdou Rachid Bah, City University of New York, Graduate Center, United States; Hamidreza Norouzi, New York City College of Technology, United States; Satya Prakash, Divecha Centre for Climate Change, Indian Institute of Science, United States; Makini Valentine, Reginald Blake, New York City College of Technology, United States
FR2.MM-13.4: DEVELOPMENT OF A LONG-TERM DATASET OF CHINA SURFACE URBAN HEAT ISLAND FOR POLICY MAKING: SPATIO-TEMPORAL CHARACTERISTICS
Lu Niu, Renmin University of China, China; Zhong Peng, Ronglin Tang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Zhengfeng Zhang, Renmin University of China, China
FR2.MM-13.5: SEGMENTATION OF TREE CANOPIES IN URBAN ENVIRONMENTS USING DILATED CONVOLUTIONAL NEURAL NETWORK
José Martins, Federal University of Mato Grosso do Sul, Brazil; Keiller Nogueira, University of Stirling, United Kingdom; Pedro Zamboni, Paulo Tarso Sanches de Oliveira, Wesley Nunes Gonçalves, Federal University of Mato Grosso do Sul, Brazil; Jefersson A. dos Santos, Federal University of Minas Gerais, UFMG, Brazil; José Marcato Junior, Federal University of Mato Grosso do Sul, Brazil
FR2.MM-13.6: TOWARDS ENABLING DEEP LEARNING-BASED QUESTION-ANSWERING FOR 3D LIDAR POINT CLOUDS
Rajat Shinde, Surya Durbha, Abhishek Potnis, Pratyush Talreja, Gaganpreet Singh, Indian Institute of Technology Bombay, India

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