Yangtze River Delta MODIS Surface Temperature Based On Temporal And Spatial Variation

The rapid development of the applied technology of Remote Sensing propelsthe progress of researches of land surface temperature (LST) change, andlanduse/cover change (LUCC). The comprehensive, high efficiency and easyaccessiblility of the technology of Remote Sensing is able to provide all kinds of datafor observing the earth surface accurately and objectively. It is also plays animportant role in urban planning and environment protection when combining withGIS technology to monitor the dynamic changes in both cities and rural area, and toinvestigate landuse/cover change pattern.This paper dynamically analyzes the land surface temperature change from2001to2010in Yangtze Rvier Delta Area spatially, seasonally and annually based on thetechnology of GIS and Remote Sensing, using MODIS product of land surfacetemperature as well as the software of Idrisi and ArcGIS. The MODIS vegetationindices data is also used to classify the land cover change between2001and2010using Maximum Likelyhood Classification method, to extract the impervious surfacearea, and to assess the accuracy of MODIS landuse/cover product (MCD12Q1). Thepaper also examines the landuse/cover change and impervious surface area (ISA)change from2001to2010, and conduct the regression analysis for the correlation ofLST change, city type change and ISA change. The main conclusions are as follows:1. The quality of1km MODIS LST product (MOD11A2) satisfies the demand ofthis study in Yangtze River Delta Area. It is able to reflect the LST change in somehow;yet there are some missing data and cloud contanminations which need to be refilledand removed especially during summer time. The classification of MODISlanduse/cover product has a moderate accuracy in terms of the plant type and theforest type, but the amount of pixels of city type is low.2. The year of2005had the highest daytime annual average LST, and the other two years were close to each other in the reaserch area. The nighttime annualaverage LST is the highest in2005as well, whereas2010is slightly higher than2001.The total LST change of the3years was low, and the percentage of persist pixels (LSTchange from-1℃to1℃) were93.07%and96.53%. The magnitude of LST changeswere mainly between increase/decrease from1℃to2℃.3. The landuse/cover had been changed significantly from2001to2010whichwere mainly from other land use types to city type in the research area. There weremore than3000km2city area increased, and the increased percentage was up to25%.4. The result of Urban Heat Island (UHI) analysis shows that the magnitudes ofUHI in the16cities were mainly strong UHI espeiclly in their downtown area;however, the magnitudes decreased successively into moderate UHI and weak UHIwhen aparted from the center of the city. The UHI area had been increaseddramatically as the shape of Chinese character “Z”.5. Linear regression result shows that the LST has a positive correlation with ISA.The increased LST area，increased area of city type, and increased ISA area havecorrespondences spatially at some point. The top3cities of change degree ranks asSuzhou, Jiaxing and Shanghai based on the indices of increased pixels of LST (morethan1℃), increased pixels of city type and increased pixels of ISA from2001to2010.