Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm

作     者：Yidi XU Le YU Dailiang PENG Jiyao ZHAO Yuqi CHENG Xiaoxuan LIU Wei LI Ran MENG Xinliang XU Peng GONG Yidi XU;Le YU;Dailiang PENG;Jiyao ZHAO;Yuqi CHENG;Xiaoxuan LIU;Wei LI;Ran MENG;Xinliang XU;Peng GONG

作者机构：Ministry of Education Key Laboratory for Earth System ModelingDepartment of Earth System ScienceTsinghua UniversityBeijing 100084China Ministry of Education Ecological Field Station for East Asian Migratory BirdsBeijing 100084China Key Laboratory of Digital Earth ScienceInstitute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094China College of Natural Resources and EnvironmentHuazhong Agricultural UniversityWuhan 430070China State Key Laboratory of Resources and Environmental Information SystemsInstitute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China 

出 版 物：《中国科学：地球科学英文版》 (中国科学：地球科学)

年 卷 期：2020年第63卷第9期

页      面：1390-1407页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 09[农学] 0903[农学-农业资源与环境] 081602[工学-摄影测量与遥感] 083306[工学-城乡规划管理] 0816[工学-测绘科学与技术] 0833[工学-城乡规划学] 

基　　金：supported by the National Key R&D Program of China(Grant Nos.2017YFA0604401 and 2019YFA0606601) the Tsinghua University Initiative Scientific Research Program(Grant No.2019Z02CAU) the Youth Innovation Promotion Association,Chinese Academy of Sciences(Grant No.Y4YR1300QM) 

主　　题：Land use land cover(LULC) Breaks for Additive Seasonal and Trend(BFAST) Change detection Annual China 

摘      要：Annual land use land cover(LULC)change information at medium spatial resolution(*** 30 m)is required in numerous subjects,such as biophysical modelling,land management and global change *** LULC information,however,is usually not available at continental or national scale due to reasons such as insufficient remote sensing data coverage or lack of computational *** we integrate high temporal resolution and coarse spatial resolution satellite images(i.e.,Moderate Resolution Imaging Spectroradiometer(MODIS)and Global Inventory Modelling and Mapping Studies(GIMMS)normalized difference vegetation index(NDVI))with high spatial resolution datasets(China’s Land-Use/cover Datasets(CLUDs)derived from 30-meter Landsat TM/ETM+/OLI)to generate reliable annual nominal 30 m LULC maps for the whole of China between 1980 and *** also test the performance of a statistical based change detection algorithm(Breaks for Additive Seasonal and Trend),originally designed for tracking forest change,in classifying all-type LULC *** a result,a nominal 30 m annual land use/land cover datasets(CLUD-A)from 1980 to 2015 was developed for the whole *** mapping results were assessed with a change sample dataset,a regional annual validation sample set and a three-year China sample *** the detected change years,75.61%matched the exact time of conversion within±1 *** mapping results provided a detail process of urbanization,deforestation,afforestation,water and cropland dynamics over the past 36 *** consistent characterization of land change dynamics for China can be further used in scientific research and to support land management for policy-makers.