4.2 Article

Spatiotemporal Land Use Land Cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan

期刊

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejrs.2014.09.004

关键词

LUCL; Erosion risk mapping; Change detection; Landsat; Soil erodibility; Remote sensing

向作者/读者索取更多资源

Land Use Land Cover (LULC) change analysis assists decision makers to ensure sustainable development and to understand the dynamics of our changing environment. During the past 15 years the study area has undergone many LULC changes due to rapid urban growth, poorly planned infrastructural development and a devastating earthquake event. This study was proposed to detect LULC changes and to investigate the major factors that have caused these changes. Steep topography, shallow soils and monsoonal climatic conditions tend to accelerate soil erosion that causes heavy sedimentation downstream. Therefore, erosion risk mapping was performed to prioritize the vulnerable areas for conservation efforts. For LULC change detection and analysis temporal Landsat satellite data captured by Thematic Mapper (TM) were employed. Maximum Likelihood (MLH) supervised classification algorithm was applied to classify the study area, whereas, Post Classification Comparison (PCC) approach was adopted to analyze the LULC changes. Soil erosion risk map was generated using four erosion controlling factors including rainfall, topography, soil erodibility and LULC. Results revealed that over a period of 11 years, a decrease has taken place in forest and low vegetation cover at a change rate of -02.70% and -02.60% respectively. On the other hand, built up and bare soil have increased at a rate of 01.00% and 04.20% respectively. The resultant erosion risk map shows that 59% of the area lies under low risk zone whereas 24%, 5% and 12% of the total area fall in medium, high and very high risk categories respectively. (C) 2014 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据