LABORATORY - INTRODUCTION TO PCI GEOMATICA AND REMOTE SENSING IMAGERY
Objective - PCI Geomatica is one of the widely used remote sensing software. In this lab, we will learn how to use this software, observe the radiance spectra of various surface objects, and understand the basic factors that determine the spectral properties of surface objects.
Lab assignment
1. Load the provided image using FOCUS in PCI Geomatica
2. Determine and record the file properties:
- raster size (i.e. # of pixels and lines)
- upper left coordinate
- lower right coordinate
- pixel size x
- pixel size y
3. Determine how many spectral channels there are in the image. What are the wavelengths associated with the spectral channels (you may need to search online to find out the wavelengths for the data)?
4. You can use any three spectral bands to generate a color image. The color image is called color composite image. Use three spectral bands to generate a true (or natural) color composite (surface objects have their true color). Observe the image to see how many types of surface objects you can identify. In your report, identify the bands you use for the true color composite image and describe the cover types in the image (such as name and color, etc.)
5. Remote sensing images covering vegetated areas are often displayed in a false color composite with near-infrared band displayed in red, red band in green and green band in blue. Try this color composite with the image used for this lab. What is the color of the vegetated areas? And why?
6. For each of the cover types you identified in the image (at least three types), choose at least fifty pixels and get their DN values (for all bands). Calculate the mean and standard deviation of each cover type and plot its spectra (DN vs. band). High quality figures are expected. Adjust the axis scale if necessary. A proper title has to be given to each axis (including the unit). In your report, you need to provide a caption to any figure included.
7. Discuss the spectra you generated in (6) in the following aspects:
(1) Describe the characteristic for each cover type (pay attentions to high absorption feature, and trend).
(2) Compare and comment the properties of cover types in the imagery.
(3) Compare and comment the standard deviation in the cover types and provide explanation (e.g., why one cover type has large standard deviation and the other cover type has small standard deviation).
Attachment:- Assignment.rar