474/574 remote sensing lab: digitizing sweet water wetland park areas, tucson az by using remote...
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474/574 Remote sensing Lab: Digitizing Sweet water Wetland Park areas, Tucson AZ by using
remote sensing imagery (Aerial and Landsat) and ArcGIS software
Study area
Sweet Water wetlands viewing from Google Earth Imagery
Objectives
• Get to know different types of remote sensing imagery with different resolutions.
• Identify the Sweet Water Wetlands areas in Tucson
Methods
• Landsat imagery (30m resolution) 3rd June 2010
• Aerial imagery (1m resolution) with available ortho photography 27th June 2010 from NAIP (National Agriculture Program).
• Digitize wetland areas by using ArcGIS 10
• Copy 3 available files to your folder : – sww_naip.img : geo_referenced aerial imagery
(1m resolution)– sww_landsat.img : geo_referenced landsat
imagry (30m resolution)– sww.shp : available shapefile (with polygon type)
of the sweet water wetland feature for digitizing process
How to
How to display the imagery and the shape file in AcrGIS
- Open ArcGIS- At Table of
Content =>Layer =>Add data
- Note: we are working with the aerial imagery first
• The display window in your ArcGIS will be like this:
How to display the imagery and the shape file in AcrGIS
How to start digitizingDisplay Editor toolbar: Customize => Tools=> Editor
Then click Start Editing
It will appear a create feature window
Digitizing Find wetland areas and Start digitizing:
Click on Layout View featureFrom here to get a display like this
Create Title, Legend and North Arrow, Scale
Go to Insert => Title=> give the tile for the map
Go to Insert => Legend => to get Sweetwater Wetland as a legend for the map
Go to Insert => North Arrow => Choose one of them
Go to Insert => Scale Bar=> choose one of these
DeliverableFile => Export Map => Save file as an JPG file.
• Then repeat the same procedures for the Landsat imagery (using sww_landsat.img and sww.shp files)
Deliverable
Sweet water wetland map using aerial photo Sweet water wetland map using Landsat
Comparison between two maps: High resolution (1m) imagery gives better features for digitizing than the 30m resolution imagery (Landsat). We can see more detail information in the aerial imagery than the satellite imagery.
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