J'Dante's GIS Blog

 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.