作者:Yidi XU,Le YU,Dailiang PENG,Jiyao ZHAO,Yuqi CHENG,Xiaoxuan LIU,Wei LI,Ran MENG,Xinliang XU,Peng GONG
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.
发文机构:Ministry of Education Key Laboratory for Earth System Modeling Ministry of Education Ecological Field Station for East Asian Migratory Birds Key Laboratory of Digital Earth Science College of Natural Resources and Environment State Key Laboratory of Resources and Environmental Information Systems
关键词:Landuselandcover(LULC)BreaksforAdditiveSeasonalandTrend(BFAST)ChangedetectionANNUALChina
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]