Friday 16 August 2019

RS and GIS-based Wetland Analysis

Paper Review Report

Background and Goal of paper
Wetlands are areas of land where water covers the soil – all year or just at certain times of the year. Wetlands provide an important range of environmental, social and economic services. Many wetlands are areas of great natural beauty and many are important to Aboriginal people.
The objective of this study is to detect the total wetland changes from 1993 to 2002 in the Canaan Valley area by using Supervised Maximum Likelihood Classification and Post classification change detection methods. Geographic Information System and Remote Sensing technologies are used to process the data
Study area
The study area, Canaan Valley wetland area of Tucker County (West Virginia), It is ranked the largest wetland area in West Virginia, representing about 9% of State’s wetlands.
Data Collection
In order to compare the wetland area differences, the Landsat 5 TM images in 1992, 1993, 1999, 2002 and 2005 with 30 meters’ resolution (Table 3.1) were downloaded from the Earth Science Data Interface (ESDI) website produced by Global Land Cover Facility (GLFC) and U.S. Geological Survey (USGS).
The scene with Worldwide Reference System 2, Path-17/Row-33 was used to acquire the Landsat images which fully cover the Canaan Valley area. In addition to these data sets, rainfall data was collected to assist in selection of the images.
The image processing task was carried out using Earth Resource Data Analysis System (ERDAS) 2010. Then ArcGIS


Significant change has been detected in the Canaan Valley area with high accuracies. There was a serious wetland loss from 56.17% in 1993 to 28.57% in 2002 in Canaan Valley area due to the dramatically decrease in forested/ shrub wetland. The remaining total wetland area was estimated only 8814.606 acres by 2002, which was about half of wetland in 1993.

A Remote Sensing and GIS-based Wetland Analysis In Canaan Valley, West Virginia. Yisha Shi. Thesis.

Review by,
Kamran ullah Khan 

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