Eco-environment Index Extraction And Change Analysis Based On The TM Data

Regional ecological environmental quality is an important problem that current humanbeings are facing and need to be studied and solved in the recent future. With the developmentof the technology of computer and "3S",studies of the eco-environment quality evaluation hasobtained new impulsion. Take Yiwu city as the research object, ENVI5.0SP3for theprocessing platform of the remote sensing data, Arcgis9.3for data analysis and drawing tools,as an attempt to the study methods of eco-environment quality evaluation, by means of theevaluation index of RSEI, This paper select three temporal TM remote sensing image data, tomake the Dynamic evaluation of the eco-environment quality condition of Yiwu city.（1）RSEI is an ecological environmental integrated index that are completely based onremote sensing data information, and can integrate various index of the ecological factors,such as greenness, wetness, heat and dryness. the index is easy to obtain, and can be a quickand easy evaluation method of regional ecological quality. The RSEI index can be not only asa quantitative index to measure the regional ecological environmental quality, can also forvisualization, It can not only not be restricted by time and space, but also can carry on thedynamic analysis of the regional eco-environment quality change. It makes up for theweaknesses of the EI index of eco-environment quality in2006to some extent, can be used asa assistant index of the EI to evaluate the regional co-environment quality rapidly,quantitatively, and objectively.（2）the RSEI composite index is created for the result principal component analysis, theeigenvalue contribution of the first principal component in1990,2001and2009is0.877,0.881and0.921.the eigenvalue contributes are all above0.850, so this study can be usedprincipal component transformation by the first principal component to combine the RSEIindex, the first principal component contain greenness, wetness,dryness, and heat.（3）Through processing and analyzing of the three periods TM remote sensing i-mage data, the mean RSEI index were0.701,0.670,0.632in1990,2001and2009. The results showed that from1990to2009, nearly20years, the eco-environment quality index values of Yiwu city based on remote sensing data were gradually decline, andthe eco-environment quality was in the "good" class.（4）As to the eco-environment quality’s comparison and analysis of all the towns of thestudy, according to the rank of RSEI mean value of13towns and streets in Yiwu,it could beseen that the rank of Choucheng and Beiyuan town remained relatively low, overall rankingfor12,13;and the Dachen and Chian town ranked high in the list, overall ranking for1,2.（5）Looking from the overall variation situation analysis of the eco-environmentquality(RSEI),nearly20years from1990to2009,the eco-environment quality of Yiwucity degraded obviously, The range of variation reached to-0.069.From the change value of the image pixels statistics to towns and streets,1990-2009, nearly20years, theeco-environment quality of Beiyuan, Choucheng, Choujiang, Yiting and Houzhai wassignificantly worse; Niansanli, Jiangdong, Chenxi, Suxi and Fotang was obviously worse;Dachen and Shangxi town had no obvious change; Chian was significantly improved. For thewhole city,the status of the eco-environment quality locally improved was less than the degreeof degradation, the eco-environment construction and protection of Yiwu city remained to befurther efforts.