HiLPD-GEE:high spatial resolution land productivity dynamicscal culation tool using Landsat and MODIS data  

作　　者：Tong Shen Xiaosong Li Yang Chen Yuran Cui Qi Lu Xiaoxia Jia Jin Chen 

机构地区：[1]Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,People’s Republic of China [2]International Research Center of Big Data for Sustainable Development Goals,Beijing,People’s Republic of China [3]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing,People’s Republic of China [4]State Key Laboratory of Earth Surface Processes and Resource Ecology,Institute of Remote Sensing Science and Engineering,Faculty of Geographical Science,Beijing Normal University,Beijing,People’s Republic of China [5]State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing,People’s Republic of China [6]Institute of Desertification Studies,Chinese Academy of Forestry,Beijing,People’s Republic of China [7]g United Nations Convention to Combat Desertification,Bonn,Germany

出　　处：《International Journal of Digital Earth》2023年第1期671-690,共20页国际数字地球学报（英文）

基　　金：supported by the Strategic Priority Research Program of the Chinese Academy of Sciences[grant numbers XDA19090124 and XDA19030104].

摘　　要：Land productivity is one of the sub-indicators for measuring SDG 15.3.1.Land Productivity Dynamics(LPD)is the most popular approach for reporting this indicator at the global scale.A major limitation of existing products of LPD is the coarse spatial resolution caused by remote sensing data input,which cannot meet the requirement offine-scale land degradation assessment.To resolve this problem,this study developed a tool(HiLPD-GEE)to calculate 30 m LPD by fusing Landsat and MODIS data based on Google Earth Engine(GEE).The tool generates high-quality fused Normalized Difference Vegetation Index(NDVI)dataset for LPD calculation through gapfilling and Savitzky–Golayfiltering(GF-SG)and then uses the method recommended by the European Commission Joint Research Centre(JRC)to calculate LPD.The tool can calculate 30 m LPD in any spatial range within any time window after 2013,supporting global land degradation monitoring.To demonstrate the applicability of this tool,the LPD product was produced for African Great Green Wall(GGW)countries.The analysis proves that the 30 m LPD product generated by HiLPD-GEE could reflect the land productivity change effectively and reflect more spatial details.The results also provide an important insight for the GGW initiative.

关 键 词：SDG 15.3.1 land productivity dynamics GF-SG Great Green Wall Google Earth Engine 

分 类 号：F301.2[经济管理—产业经济]