TUP2.PB.2
Scalable Automation of Geospatial Models with Docker Containerization and Distributed Computing: A VIC Model Case Study
Jianghua Zhao, Xuezhi Wang, Xiaohua Zhou, Chunyang Zhang, Yan Chen, Xiujuan Yi, Computer Network Information Center, Chinese Academy of Sciences, China
Session:
TUP2.PB: Machine Learning and Remote Sensing for Agriculture, Environment, and Climate Resilience Poster
Track:
AI and Big Data
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session TUP2.PB
TUP2.PB.1: Crop yield prediction in arid areas with machine learning algorithms, remote sensing satellite data and an improved Geographical Detector Model
Seyed Babak Haji Seyed Asadollah, University College of Environmental Science and Forestry of United States, United States; Antonio Jodar Abellan, Spanish National Research Council, Spain; Miguel Ángel Pardo, University of Alicante, Spain
TUP2.PB.2: Scalable Automation of Geospatial Models with Docker Containerization and Distributed Computing: A VIC Model Case Study
Jianghua Zhao, Xuezhi Wang, Xiaohua Zhou, Chunyang Zhang, Yan Chen, Xiujuan Yi, Computer Network Information Center, Chinese Academy of Sciences, China
TUP2.PB.3: MAPPING OIL PALM ACREAGE IN SURAT THANI, THAILAND: LEVERAGING SENTINEL-1 AND MACHINE LEARNING FOR SUSTAINABILITY
Natnaphat Subtaweepollert, Office of Agricultural Economics, Thailand
TUP2.PB.4: AERIAL SPECTRAL PARAMETER INTELLIGENT RETRIEVAL ESTIMATOR FOR MULTISPECTRAL IMAGERY
Wenyi Zhang, Xiangyu Dai, Yuxin Hu, Xiaoyi Yin, Qingwei Chu, Guangzuo Li, The Aerospace Information Research Institute under the Chinese Academy of Sciences, China
TUP2.PB.5: AN OPERATIONAL APPROACH FOR NATIONAL-SCALE ANNUAL CROP MAPPING AT 10 M RESOLUTION
Xiao-Peng Song, University of Maryland, United States
TUP2.PB.6: SOCANET：A DEEP LEARNING WETLAND CLASSIFICATION STRATEGY BASED ON IMPROVED CNN AND ATTENTION MECHANISM
Hanwen Xu, Qinxin Wu, Zhe Wang, Chang Liu, Zixuan Wang, Hongtao Shi, School of Environment Science and Spatial Informatics, China University of Mining and Technology, China
TUP2.PB.7: Inversion of Npp and Response to Climate Change Based on Casa Model
Hang Chen, Lei He, School of Software Engineering Chendu University of Information Technology, China; Yuxia Li, Fan Li, School of Automation Engineering University of Electronic Science and Technology of China, China; Guangsong Yan, Yunnan Meteorological Service Center Yunnan Provincial Meteorological Bureau, China; Zelong Li, School of Software Engineering Chendu University of Information Technology, China
TUP2.PB.8: IMAGE-BASED AI FOR WASTE DUMP STABILITY ASSESSMENT IN COAL MINES
Kuruparan Shanmugalingam, Simit Raval, University of New South Wales, Australia
TUP2.PB.9: ASSESSING INDUSTRIAL IMPACTS ON VEGETATION HEALTH USING MACHINE LEARNING: A CASE STUDY IN CILEGON CITY, INDONESIA
Agus Suprijanto, Yumin Tan, Gonzalo Rodolfo Pena Zamalloa, Muhammad Kamran Lodhi, Beihang University, China; Rodolfo Domingo Moreno Santillan, Comisión Nacional de Investigación y Desarrollo Aeroespacial (CONIDA) Peru Space Agency, Peru; Isiaka Lukman Alage, Beihang University, China
TUP2.PB.10: Optimizing Rainwater Harvesting Site Selection Using Machine Learning Models
SRI PRIYANKA KOMMULA, BHARAT LOHANI, Indian Institute of Technology Kanpur, India; DONGRYEOL RYU, STEPHAN WINTER, The University of Melbourne, Australia
TUP2.PB.11: Energy Monitoring for Earth Observation Big Data Processing: A Gap Analysis
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla, Faculty of Geo-Information Science and Earth Observation, University of Twente, Netherlands
TUP2.PB.12: geoSML for Climate Change Impact Assessment for Little Penguins Eudyptula minor in Australia and New Zealand
Priyanka Singh, TERI School of Advanced Studies, India; Sameer Saran, Indian Space Research Organization, India; Ankur Dixit, Cornell University, India
Resources
No resources available.