Executive Summary

Executive Summary

The primary objective of this project was to assess the amount of change that occurred between the years of 1988 to 1993. The region under analysis is a portion of the Mississippi River watershed. In 1993 a severe flood burdened much of the area. By comparing the satellite images of the same location in these two different time periods, an assessment of flood damage can be interpreted.

Image Processing Techniques
In order to support the classification of the image, three separate image-processing techniques were performed. These techniques were the NDVI, band ratioing, and band combinations. The NDVI index is very effective in distinguishing land use and land cover in both large and small land area. Band ratios allow the user to detect and determine specific characteristics and features of an image. The 3/7 and 4/3 ratios were used.

Classification Process and Results
Five classes were classified in the miss88.img: Vegetation, Urban Land Use, Residential, Water, and Barren Land. In the signature editor, the values for each class in the miss88.img file was set in order from 1-5, and for the class values for the miss93.img file, the values were to be multiplied by ten so the values ranged from 10-50.

Accuracy Assessment
Six samples were selected from each class, for example six areas of vegetation and six areas of residential. In an accuracy assessment of the miss88 image, the results were more accurate than the flooded image of miss93. From the five classes the number correct to the total number is as follows:

1988 image
Total 28/30 = 93%

1993 image
Total 27/30 = 90%

Change Detection Modeling and Analysis
A model was constructed from the model maker on the ERDAS Imagine model tab. From the model tools, a raster image tool was selected to represent the raster layers and included the supervised miss88 image and the supervised miss93 image as separate layers. The formula created was:

PV x 625 = # of acres changed
4046.86

Through careful calculation, the total amount of acreage that changed from land to water was determined to be 12,447.92.

	Remote Sensing Fall 2001

	Executive Summary The primary objective of this project was to assess the amount of change that occurred between the years of 1988 to 1993. The region under analysis is a portion of the Mississippi River watershed. In 1993 a severe flood burdened much of the area. By comparing the satellite images of the same location in these two different time periods, an assessment of flood damage can be interpreted. *Image Processing Techniques* In order to support the classification of the image, three separate image-processing techniques were performed. These techniques were the NDVI, band ratioing, and band combinations. The NDVI index is very effective in distinguishing land use and land cover in both large and small land area. Band ratios allow the user to detect and determine specific characteristics and features of an image. The 3/7 and 4/3 ratios were used. *Classification Process and Results* Five classes were classified in the miss88.img: Vegetation, Urban Land Use, Residential, Water, and Barren Land. In the signature editor, the values for each class in the miss88.img file was set in order from 1-5, and for the class values for the miss93.img file, the values were to be multiplied by ten so the values ranged from 10-50. Accuracy Assessment Six samples were selected from each class, for example six areas of vegetation and six areas of residential. In an accuracy assessment of the miss88 image, the results were more accurate than the flooded image of miss93. From the five classes the number correct to the total number is as follows: 1988 image Total 28/30 = 93% 1993 image Total 27/30 = 90% Change Detection Modeling and Analysis A model was constructed from the model maker on the ERDAS Imagine model tab. From the model tools, a raster image tool was selected to represent the raster layers and included the supervised miss88 image and the supervised miss93 image as separate layers. The formula created was: PV x 625 = # of acres changed 4046.86 Through careful calculation, the total amount of acreage that changed from land to water was determined to be 12,447.92.
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