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 

机构地区：[1]Ministry of Education Key Laboratory for Earth System Modeling,Department of Earth System Science,Tsinghua University,Beijing 100084,China [2]Ministry of Education Ecological Field Station for East Asian Migratory Birds,Beijing 100084,China [3]Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China [4]College of Natural Resources and Environment,Huazhong Agricultural University,Wuhan 430070,China [5]State Key Laboratory of Resources and Environmental Information Systems,Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

出　　处：《Science China Earth Sciences》2020年第9期1390-1407,共18页中国科学（地球科学英文版）

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)。

摘　　要：Annual land use land cover(LULC)change information at medium spatial resolution(i.e.at 30 m)is required in numerous subjects,such as biophysical modelling,land management and global change studies.Annual 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 capabilities.Here 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 2015.We 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 change.As a result,a nominal 30 m annual land use/land cover datasets(CLUD-A)from 1980 to 2015 was developed for the whole China.The mapping results were assessed with a change sample dataset,a regional annual validation sample set and a three-year China sample set.Of the detected change years,75.61%matched the exact time of conversion within±1 year.Annual mapping results provided a detail process of urbanization,deforestation,afforestation,water and cropland dynamics over the past 36 years.The consistent characterization of land change dynamics for China can be further used in scientific research and to support land management for policy-makers.

关 键 词：Land use land cover(LULC) Breaks for Additive Seasonal and Trend(BFAST) Change detection ANNUAL China 

分 类 号：P237[天文地球—摄影测量与遥感] F301.2[天文地球—测绘科学与技术]