Study area

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.