|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|141744||2018||31 صفحه PDF||سفارش دهید||8898 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Remote Sensing Applications: Society and Environment, Volume 10, April 2018, Pages 224-233
With an aim to understand the fragmentation of Usri watershed with the aid of open access remotely sensed data and FRAGSTATS. Long term (1976â1989â2000â2014) Landsat satellite data sets have been used in this work. The post classification comparison of statistics suggests transformation from dense forest to agriculture class. The landscape and class level metrics have confirmed watershed fragmentation. PCA analysis has produced two principal components (PC) and explained 94.8% of the total variance, first component (PC1) accounted for the 50.0% of the total variance while the second component (PC2) has accounted for the 44.8% of the total variance calculated from the core area metrics, distance metrics and shape metrics. Results show notable changes have been occured in the area, evidencing the requirement of taking appropriate measures to conserve this natural watershed. Monitoring and especially quantifying, the impact of human activities on our landscapes may also facilitate the design of efficient and assessable landscape resources, policies and risk assessment studies.