Land Cover Change Detection Using Change Vector Analysis and Land Cover Ratios

Authors

  • M. A. REHMAN
  • N. MINALLAH

DOI:

https://doi.org/10.26692/surj.v49i2.1393

Keywords:

: Change Vector Analysis (CVA), level of change, Land Covers Ratios, Suitable Thresholds and Distribution Pattern.

Abstract

Remote sensing is an art of acquiring of information about earth surface without actually being in contact with it as observation can be performed by capturing image through satellite having sensors. The process includes the transmission of electromagnetic energy from satellite to target and then reflecting back to satellite. It remains quite interesting to get land cover change detection observations with correct change percent and ratio estimation of each land cover existence using different classification and mathematical approaches. The aim of this research is to analyze and observe cover changes, variations, transformations and distributions pattern of each land covers. The obtained results shows decrease of water and forest while increase of soil, agriculture and meadows. Furthermore, it is noticed that maximum change occurred is water surface, which is decreased by 8.39 %.

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Published

2017-06-05

How to Cite

M. A. REHMAN, & N. MINALLAH. (2017). Land Cover Change Detection Using Change Vector Analysis and Land Cover Ratios . Sindh University Research Journal - SURJ (Science Series), 49(2). https://doi.org/10.26692/surj.v49i2.1393