|نویسندگان||Ali Amidi-Mojtaba Jannati-A.A Abkar-M.J Valadan Zoej-Alireza Safdarinezhad|
|همایش||نوزدهمین همایش ملی ژئوماتیک91|
|تاریخ برگزاری همایش||1391-02-25|
|محل برگزاری همایش||تهران|
Qualitative and quantitative information is provided in Change Vector Analysis (CVA) in the context of change detection procedure. In this study, the Change Vector Analysis technique was implemented on multitemporal multispectral remotely sensed data to monitor the dynamics of environmental change in wetland. Magnitudes of changes are determined based on any possible spectral band combination in the 2-dimentional Euclidian plane. And change magnitude is presented meaningful in the bands one, four, and seven. Categories of wetland changes are discriminated by means of the Tasseled cap (Kauth-Thomas Transformation) as biophysical indicator while, it reduces data redundancy and, representing the basic types of land cover – vegetation, soil and water. When inside the study area there is a probable reservoir caused by recently built dam, the images are then transformed into Kauth-Thomas features representing brightness, greenness, and wetness to enhance landscape features and optimize the data viewing capabilities. The results are shown the sensitivity of expected changes in different bands is distinctive to change magnitude discrimination. Furthermore, Greenness and Brightness are selected as an optimum choice for water-body change categorization.