Monica's GIS Journal

  Hi Everyone!  Module 4 focuses on the representation of remote sensing data in multispectral bands and the use of greyscale and spectral enhancements to analyze brightness, sharpness, and contrast in imagery. Lab 4 used ERDAS Imagine to analyze remote sensing digital data  and ArcGIS to make layouts. The map above displays TM false natural color imagery, which offers a wide range of information and color contrast. Green indicates vegetation and salmon represents soil. The map above displays the brightness of the water feature and vegetation. This was done by examining the true color image and adjusting the radiometry to brighten and emphasize the severity of the features. The map above displays true color imagery to highlight the white snow on the mountains.

   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.

 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. 

Hi everyone!   Module 1 focuses on the basics of Aerial Photography Visual Interpretation. I have included the map layouts of my visual interpretations from Exercises 1 & 2.  Exercise 1 consisted of identifying features by analyzing the tone and texture of aerial photographs. Above is the map layout of my visual interpretation from Exercise 1. The map displays a variety of tones and textures. For tone I highlighted it as purple and ranged it from very dark to very light. For texture I highlighted it as green and ranged it from very coarse to very fine.   Exercise 2 consisted of identifying land features based on the visual attributes of an aerial photograph. Above is the map layout of my visual interpretation from Exercise 2. The features on the map were selected based on association, pattern, shadows, and shapsize. For example, patterns highlighted in blue, I chose the waves pattern, the neighborhood, and the parking lot. These patterns were the most  distinguis...

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