GIS4035 - Remote Sensing and Photo Interpretation - Module 4

The idea behind this weeks exercise, was to verify the accuracy of the LULC classification done for last weeks project. We used google maps to verify the data that was previously classified only through studying the given aerial. The green points fall on to features that were classified accurately, while the red fall on to features that were misinterpreted.

Out of the total 30 points, 23 of them were accurately classified, for a total of 76.666% accuracy.

GIS4035 - Remote Sensing and Photo Interpretation - Module 3

This shapefile was created over an aerial photograph, and split into various features to correspond with the LULC classification system. All the different fields describe different land use, and land cover interpretations.

11 – Residential: The majority of the land used throughout the right half of the map seemed to be made up of suburban dwellings. Medium sized houses, with front and back yards that surrounded narrow streets. They were all confined within a single feature, and highly generalized.

12 – Commercial and Services: The more of the larger, square buildings with parking lots were labeled under Commercial and Services. Whey were mainly done so, due to their size, and proximity to a major highway.

13 – Industrial: The main feature that was reminiscent of a factory was located in the bottom right. The other two were classified so due to their size and shape.

14 – Transportation: Only one major landmark fell into this category, and that is the large highway that cuts through the aerial north-south.

43 – Deciduous Forest Land: There was a lot of forested patches of land located among the residential landmass. I assumed them to be mostly deciduous by the apparent “fluffiness” of the trees.

51 – Streams and Canals: The entire body of water on the left-hand side of the photograph was classified under this category. It was quite difficult to tell exactly what this feature was, and braking it down into more specific categories would prove very time consuming. Therefore, the more general category of “Streams and Canals” seemed appropriate.

52 – Lakes: There are three isolated bodies of water which are completely surrounded by land in the photograph. I grouped them all under lakes, as they are land locked and seemingly large enough.

54 – Bays and Estuaries: This category was given to three water features, which seem to flow into the major body of water. They are all short, and not likely to be rivers.

61 – Forested Land: This classification included every one of the overgrown islands located on the large body of water to the left hand side. Because the islands were clearly not used for anthropogenic purposes. It was difficult to decipher the exact vegetation.

GIS4035 - Remote Sensing and Photo Interpretation - Module 2

Of the two maps that we were to submit for this weeks assignment, the first one focused on defining tone and texture. We created polygons around features of our own choice, based on how dark they appeared, as well as how grainy they appeared, and organized each of them into five levels. The objective of the lab was to show understanding of what tone and texture are, and to be able to express it clearly with ArcMap.





The second part of the assignment focused on identifying features based on four distinct criteria: shape/size, shadow, pattern and association. Many of the features on this aerial could have been identified using more than one criteria, but for the purpose of this assignment we were not supposed to re-use the same features to fill the quote (3 features per each criteria.)