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I will post my assignments from GIS4035/GIS4035L in Photo Interpretation and Remote Sensing.

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Module 2-Land Use & Land Cover Classification

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 Hi Everyone!  Module 2 focuses on Land Use / Land Cover Classification, Ground Truthing and Accuracy Assessment. Lab 2 consisted of land use / land cover on an aerial photo in Pascagoula, Mississippi. Then ground truthing samples were used for  validation of the classification results Above is the map layout showing land use and land cover based on code and color. The legend provides a description of the land use/land cover code. I also conducted ground truthing and accuracy assessment. The legend provides details of the accuracy and inaccuracy based on the green and red dots. 
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Module 5-Supervised and Unsupervised Classification

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   Hi Everyone!  Module 4 focuses on an overview of spectral classification and unsupervised/supervised classification methods. Supervised classification is characterized by matching pixels, whereas unsupervised classification involves manual processing and predetermined pixel values. Lab 4 used ERDAS Imagine to classify digital imagery (unsupervised and supervised ) and ArcGIS to make layouts.   The map above displays a band combination that prevents spectral confusion and makes each feature stand out. The main image displays the classifications, which are described in the side legend.
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Module 3-Intro to ERDAS Imagine and Digital Data

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   Hi Everyone!  Module 3 focuses on properties of EMR and the basics of ERDAS Imagine.  Lab 3 consisted of using ERDAS Imagine to analyze remote sensing digital data. The map above is a land classification subset from a larger AVHRR image. First I worked in the ERDAS Imagine software to view the image, then convert it to a classified map export in ArcGIS.
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