Image Integration and Introduction to Spatial Analysis

Introduction

    The previous assignment have all been concerned with the use and analysis of vector-based (points, lines and polygons) data. In this assignment, we will be using a combination of vector-based data and raster data. We are asked to integrate a data from the ERMapper image analysis system into ArcView GIS (with Spatial Analyst Extension and ERMapper Algorithm Extension loaded). Which, we will analysis on this data, using the Spatial Analyst extension. Furthermore, We will perform some experiment with the ER Mapper Algorithm Extension, which is lode in Arc view to handle the ER Mapper imagery format and see how useful we find it

Data Provided

Objectives

   1. Integrate three bands of unclassified TM data into ArcView from ERMapper.
    2. Create a histogram graph for each of the bands used.
    3. Produce a composite (RGB) display (layout) with vector data plotted over it. Include title, scale bar, projection information, as well as frequency histogram charts.
    4. Experiment with the ER Mapper Algorithm Extension.

Procedures

1. Integrate three bands of enhanced and unenhanced TM data (Our choice which ones) into ArcView from ERMapper

·     In ER Mapper, open the Lake_Toba_TM.ers file and permanently enhance the desired bands, your choice of enhancement.

·     Once we are done, be sure to use the File --> Save as Dataset option to save the enhanced layers.

·     Export the bands from ERMapper as a BIL (Options --> Export as Raster --> ArcInfo BIL Image)

·     Edit the header file to allow ArcView to “see” the newly created BIL file

·     Import the BIL file into ArcView

Tasks and Questions

A) Try to edit the legend of your enhanced image. How many bands are available for display?

B) What components must be included in an image header file? Give a brief explanation of each.

2. Calculate a full set of statistic for each band (3 bands) on the cells that occor within a selected polygon theme (choose one land cover class)

• Create a grid from the image BIL file for each band (3 in all)
• Create a grid from the landuse polygon theme
• Use the Avenue “con” request with the Map calculator to create a new grid based on a selected landuse grid.

Note: Be careful! The output of any Map calculator function is not directly saved to a file! It only exists in memory. To save to permanently, use the “Save as dataset”

3. Create a histogram graph for each of the bands used, both the enhanced and the unenhanced bands. 6 histograms in all.

  ·     Use the “Histogram” button to generate a histogram for each band.

  ·     Show digital number value versus frequency (how often it occurs).

        ·     Compare and contrast results obtained.

Tasks and Questions

A) Give a brief explanation of the histogram for each of the three TM bands. What differences do you notice between these histograms? (Use your remote sensing knowledge here).

4. Produce a composite (RGB) display (layout) with vector data plotted over it. Include title, scale bar, projection information, as well as frequency histogram charts created above (3 charts). You may need to create 2 layouts to incorporate all of the data and charts.

       ·       Add the landuse shapefile to our project.

       ·      Create the layout(s).

Tasks and Questions

A) Hand this layout in with your report.

5. Choose five classes from the landuse theme, and generate summary statistics.

• Select using the “Query Builder” or “Selection Tool”
• Use the “Summarize Zones” function from the “Analysis” menu

1. First, choose the attribute from the landuse or landsystem that we would like to use as the zone definition

2. Second, choose the grid from which we want the statistics to be generated.

3. Third, choose the statistical operation that we would like charted for the five select classes.

6. Experiments with the ER Mapper Algorithm Extension

        ·         Add the extension and load your enhanced image as an .ers file. See what options are available to you on the ArcView menu.

        ·          Back to ER Mapper software and open our original dataset (Lake_Toba_TM.ers). Do band selection and enhancement of it and then create the algorithm of this configuration. Load our algorithm in Arc View.

Tasks and Questions

       A) Is the extension useful? Can the image data be quantitative evaluated in a similar way to the BIL format above?

       B) Give an overall brief summary of the advantages and disadvantages of the ER Mapper Algorithm Extension in our report.

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