J'Dante's GIS Blog

 For Lab 4, Spatial Enhancement, we looked into learning how to work with Landsat 4-5 data form the official Glovis website and use ERDAS and ArcGIS Pro to run spatial enhancement tools on different image. The first and second exercise involved learning how to download and format data from the Glovis website. The third exercise involves using and manipulating image histograms for the LandSat data. The fourth and fifth exercise includes the use of Spatial Characteristics and Band Ratios to alter the band layers to make certain features pop out more than others. The sixth exercise involved examining the layer information of the image layers while the seventh exercise involved tying in all the exercises to now independently identify features with what was learned. Below shows 3 different maps showing a large river, lake, and snow cover features identified with spatial enhancement.

 Hello everyone, for lab 3 of Photo Interpretation and Remote Sensing with took a look into  Earth Resources Data Analysis System  or ERDAS and navigated through different tools and applications. This lab was broken up into 2 parts and served as a first look as I was introduced to the functionality of ERDAS which I have not done before. I also had time to play with the viewing aspects, data manipulation, shortcuts, and also creating a subset to make a map. The first part dealt with the basic and map making while the second part dived into examining remote sensing properties such as Spatial resolution, radiometric resolution, Temporal and Spectral resolution, etc. The map below shows the creation of a subset I made on ERDAS that was transferred to ArcGIS Pro to create a map.

 Hello everybody, for the second lab of the semester, we looked in making Lane Use/Land Cover Classifications (LULC), Ground Truthing, and Accuracy Assessment. LULC seeks out to digitize the land use and land cover into polygons to differentiate the contrast parts of a particular area of interest. Also, with ground trotting and accuracy, these ensure that a the proper classification is reflected to the area being digitized to give an accurate identification that said area. This was accomplished by making a feature class for LULC to digitize polygons and one for the Truthing part of the lab to place random points on the aerial  photo and with the use of google maps, test to see how accurate our classes are. Below shows a map of an aerial photo of a part of Pascagoula, MS that includes classifications, truthing points, and a percentage for accuracy of my classifications.

Hello everybody, for the first lab of semester for Remote Sensing, we took a look at the basic principles of interpreting features on aerial photographs. The features to be identified in this lab was Tone, Texture, Shape/Size, Shadow, Pattern, Association, and True Color/ False Color. Provided the aerial photos, to identify the features, a point feature class was created for each feature to point out places on the photo that represents that certain feature. Representation of each feature point was defined by differences in symbology or color. Below shows the final product of 2 maps showcasing the identification of different features on two aerial photos. One identifies tone features from very light to very dark and texture features from very fine to very coarse. The other map identifies features for Shape/Size, Shadow, Pattern and Association point feature classes on the aerial photo.

 Hello everyone! The PDF file found below is my GIS Portfolio comprised of all my experiences, skills learned and works created throughout my GIS journey at the University of West Florida. I hope you enjoy!

For week 12 of GIS lab and final week before the final project, we took a look and Georeferencing and Lidar. We use georeferencing to make control points and try to match the buildings with the aerial raster photos to get them as accurate as possible. With that we took the location of an eagle's nest and made a multi buffer layer with an given scenario. Also, we created a 3D elevation model with the use of Lidar data which was coverted to a DEM. The skills performed in this lab will be put to use in the final project. Not only will they be used in the final but even down the road as I build on my GIS knowledge. The maps above showase the use of georeferencing and Lidar data.