State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China; Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing, 210023, China; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, AE 7500, Netherlands; School of Earth Sciences and Engineering, Hohai University, Nanjing, 210098, China; State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, 100083, China; School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China; Lancaster Environment Center, Faculty of Science and Technology, Lancaster University, Lancaster, LA1 4YR, United Kingdom
Recommended Citation:
Ge Y.,Jin Y.,Stein A.,et al. Principles and methods of scaling geospatial Earth science data[J]. Earth Science Reviews,2019-01-01,197