Saturday, March 31, 2018

Lab 9: Unsupervised Classification

This week covered classifying pixels from remote sensed data into land use/ land cover classes using unsupervised methods.

In this map, five cover classes where used.  Originally 50 classes were produced.  Each of the 50 classes were visually inspected and assigned to one of the five categories and the color was changed to match.

Tuesday, March 20, 2018

Lab 8: Thermal & Multispectral Analysis

This week covered thermal remote sensing.  We learned how to combine multiple bands from a satellite into one image. The below map uses R6 (thermal) G4 (Near IR), and B7 (Infrared).  It shows a mountain that has a mix of vegetation and soil.

Tuesday, February 27, 2018

Lab 6: Spatial Enhancement

This week covered ways to enhance images in ERDAS Image and in ArcMap.  Many types of filters were covered such as low pass which smooths an image and high pass which highlights small differences.

Map showing an image where banding (black lines) was minimized using enhancement techniques. 

Tuesday, February 13, 2018

5a Lab: Intro to ERDAS Imagine and Digital Data

This week was an introduction to ERDAS imagine and to electromagnetic radiation(EMR).  First we did some calculations on wavelength, frequency and energy for EMR.  The map below is a section of an image that was opened in ERDAS and exported to ArcMap.  I changed to legend to include the area of each land cover type.

Tuesday, February 6, 2018

4 Lab: Ground Truthing and Accuracy Assessment

This week covered determining the accuracy of a land use/land cover classification.  I used last week's land use map and created 30 points.  The points were checked for accuracy using google maps.  My accuracy was 70% Another method to check for accuracy is to visit the site. 

Tuesday, January 30, 2018

Lab 3: Land Use / Land Cover Classification Mapping

This week covered land use and land cover.  I classified an image of Pascagoula of land use.  The map is below.

Tuesday, January 23, 2018

Module 2 Lab: Visual Interpretation

This week covered interpreting different features in aerial photographs.
The map below shows different tones and textures in the photograph

The map below shows features that were identified based on size and shape, shadow, pattern, and association.