Remote sensing monitoring of vegetation NPP spatiotemporal dynamics based on the PIE-Engine cloud computing platform and CASA model:A case study of Daofu County
Remote sensing monitoring of vegetation NPP spatiotemporal dynamics based on the PIE-Engine cloud computing platform and CASA model:A case study of Daofu County
[Objective]To gain a deeper understanding of the carbon sequestration levels of vegetation in Daofu County and its long-term trends,[Methods]the CASA model through the PIE-Engine remote sensing cloud computing platform based on MODIS data was established,meteorological station data,and land cover data,estimating the Net Primary Productivity(NPP)of terres-trial vegetation in Daofu County from 2001 to 2016.Concurrently,the spatiotemporal distribution and evolutionary characteristics were explored using method such as Theil-Sen Median trend analysis,stability analysis,zonal statistics,and hotspot analysis.[Results]The findings indicate:(1)The NPP of Daofu County from 2001 to 2016,estimated based on the PIE-Engine cloud platform and CASA model,demonstrated high accuracy with a good fit with MODIS NPP data.(2)The NPP in Daofu County has been continuously increasing,with higher NPP in the central and southeastern parts,and lower NPP in the northeastern and south-central parts.The areas with low NPP values are gradually decreasing year by year,reflecting a gradual improvement in the ecological condition of the region.(3)All townships experienced an increase in NPP from 2001 to 2016,with spatial variations in NPP generally stable and most areas experiencing small fluctuations in NPP.(4)Overall,there was a significant increase in NPP in Daofu County between 2001 and 2016,with the growing areas covering over 93％of the entire county.(5)High NPP value areas have formed spatial clusters,creating prominent hotspot phenomena,providing a basis for further studying and under-standing the spatial distribution and changing patterns of NPP.[Conclusion]The study offers a scientific basis for the improve-ment of the ecological environment and sustainable development in Daofu County.Moreover,it proposes a fast and efficient re-gional vegetation NPP assessment method based on a cloud platform,which holds positive value for comprehensively evaluating sustainable development goals and promoting ecological civilization construction.
关键词
植被净初级生产力NPP/CASA模型/PIE-Engine/时空分布/遥感/道孚县
Key words
vegetation Net Primary Productivity(NPP)/CASA model/PIE-Engine/spatiotemporal distribution/remote sense/Daofu County
维普
万方数据