Labels

Showing posts with label GIS 4035. Show all posts
Showing posts with label GIS 4035. Show all posts

Sunday, September 27, 2015

GIS 4035: Photo Interpretation and Remote Sensing: Module 5A – Intro to ERDAS Imagine

Module 5A:  Intro to ERDAS Imagine and Digital Data 1

This week’s lab involved the calculating of wavelength, frequency, and energy of EMR, locating and using the basic tools in ERDAS Imagine, using the Viewer to view data in ERDAS Imagine, creating a subset data in ERDAS Imagine, and making a map with the subset data in ArcGIS.

The map below represents the selected subset data from ERDAS Imagine with corresponding classes and area (acreage).


Monday, September 21, 2015

GIS 4035: Photo Interpretation and Remote Sensing: Module 4 – Ground Truthing and Accuracy Assessment

Module 4:  Ground Truthing and Accuracy Assessment

This week’s lab involved the plotting of 30 systematic points for ground truthing and accuracy assessment with Google maps as compared to the previous classification of features in a natural color aerial photograph of Pascagoula, MS using the USGS Standard Land Use Land Cover Classification System.  The features were initially identified on the ground based size, shape, color, pattern, shadows, and association.

The map below represents the accuracy assessment as described above.


Tuesday, September 15, 2015

GIS 4035: Photo Interpretation and Remote Sensing: Module 3 – Classification Mapping

Module 3:  Land Use Land Cover Classification Mapping

This week’s lab involved the classification of features in a natural color aerial photograph of Pascagoula, MS using the USGS Standard Land Use Land Cover Classification System.  The features were identified on the ground based size, shape, color, pattern, shadows, and association.

The map below represents the land use land cover codes applied to the features as described above.


Sunday, September 13, 2015

GIS 4035: Photo Interpretation and Remote Sensing: Module 2 – Visual Interpretation

Module 2:  Visual Interpretation

This week’s lab involved the identification of features in aerial photographs by several visual attributes such as:

·         Tone
·         Texture
·         Shape and Size
·         Shadow
·         Pattern
·         Association

In addition some features were identified based on true color and compared against a False Color IR image.

The maps below represent the features identified as described above.