TU3.R12: Earth Observations Contribution to the Sustianable Developments Goals I
Tue, 9 Jul, 14:40 - 16:20
Location: MC 3.4
Session Type: Oral
Session Co-Chairs: Muhammad Adnan Siddique, Information Technology University of the Punjab (ITU) and Avik Bhattacharya, Indian Institute of Technology Bombay
Track: Community-Contributed Sessions
Tue, 9 Jul, 14:40 - 14:54

TU3.R12.1: Glacial Lake Outburst Flood risk assessment using logistic regression of remote sensing parameters in High Mountain Asia

Muhammad Adnan Siddique, Nida Qayyum, Abdul Basit, Ehtasham Naseer, Information Technology University of the Punjab (ITU), Pakistan; Irena Hajnsek, Earth Observation and Remote Sensing, ETH Zurich, Switzerland, Switzerland
Tue, 9 Jul, 14:54 - 15:08

TU3.R12.2: MAPPING AND BATHYMETRY OF GLACIAL LAKES IN THE HIMALAYA USING SATELLITE REMOTE SENSING DATA

Saurabh Vijay, Ravindra Kumar, Sarvesh Kumar Verma, Indian Institute of Technology Roorkee, India
Tue, 9 Jul, 15:08 - 15:22

TU3.R12.3: WATER LOSS TO THE ATMOSPHERE OVER THE TIBETAN PLATEAU BASED ON REMOTE SENSING EVAPOTRANSPIRATION DATASETS

Chaolei Zheng, Li Jia, Guangcheng Hu, Jing Lu, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Massimo Menenti, 2. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Netherlands
Tue, 9 Jul, 15:22 - 15:36

TU3.R12.4: EVALUATION OF CHINESE URBAN LAND-USE EFFICIENCY (SDG11.3.1) BASED ON HIGH-PRECISION URBAN BUILT-UP AREA DATA

Hao Wang, Chinese Academy of Surveying and Mapping, China; Yongqiang Wei, Xi’an Research Institute of Survey and Mapping,, China; Yafei Liu, Chengdu CAST BIT New Research and Development Technology Co., Ltd., China; Yinxuan Cao, Ruowen Liu, Xiaogang Ning, Chinese Academy of Surveying and Mapping, China
Tue, 9 Jul, 15:36 - 15:50

TU3.R12.5: CROP RESIDUE BURNING AND ITS IMPACT ON AIR QUALITY: A CASE STUDY ON NORTHERN INDIA

Sandeep Kumar, Ashmitha Nihar, Abhinav Verma, Swarnendu Sekhar Ghosh, Avik Bhattacharya, Indian Institute of Technology Bombay, India
Tue, 9 Jul, 16:04 - 16:18

TU3.R12.7: LOW-COST, HIGH-DENSITY FIELD WATER QUALITY DATA ENABLE HIGH-ACCURACY MINIMALIST REMOTE SENSING FOR LOCAL SUSTAINABILITY AND RESILIENCE WITH SENTINEL-2 MULTISPECTRAL IMAGER

Richard Beck, University of Cincinnati, United States; Hongxing Liu, University of Alabama, United States; Song Shu, Appalachian State Univesity, United States; Min Xu, Troy University, United States; Haibin Su, Texas A&M University - Kingsville, United States; Lei Wang, Louisiana State University, United States