By using my last map of Land classification, I combined the technique of ground truthing which allowed me to gauge my skills of aerial photo interpretation.
Thursday, April 6, 2017
I have gained skills of recognizing features on the ground using a natural color aerial photograph of Pasagoula, Ms and digitized an area from creating a land use/classification map. With the guide of USGS Standard Land Use / Land Cover Classification System. Levels 1 and 2 for this classification.
Thursday, March 23, 2017
I learned to perform unsupervised classification using both ArcGIS and ERDAS Imagine. As well as running the classification process to determine what feature the new image classes represent (reclassification) and then simplifying the several classes into a few types of features (recording). I am able to perform an unsupervised classification in both ArcMap and ERDAS, classify images of different spatial and spectral resolutions, and manually reclassify and record images to simplify the data.
Thursday, March 2, 2017
First, by already using the image provided from the downloaded data, I uploaded I onto ArcMap. The image I used was the ‘ETMcomposite.img’ and went to that layer’s properties to change the bands. I chose Red-6, Green-5, Blue-4. My feature of interest were coordinates: 79 51 0 W 2 13 42.688 S which represented in the middle of the river. It was very distinguishable from the hydro logical aspects and heavily urbanized area. The vegetation showed up in shades of blue and what I assume is either shrub to no vegetation showed up as a green-grey color. Red was represented as heavy urbanized areas and it seemed that any agricultural fields showed up as black or a darker color.
Thursday, February 16, 2017
Learned how to examine layer information, understand spatial resolution, radiometric resolution, spectral and temporal resolution, thematic rasters attributes (by displaying selected information and calculating percent area), and selecting soils based on a criteria based on the data that was given.
Thursday, February 2, 2017
In this lab, we learned how to use "ERDAS Imagine" a computer software where you are able to familiarize yourself with images as a pre-processing step for making maps for ArcGIS. This software was very different from ArcMap, however you gain understanding about editing images, EMR properties of said images, and how to interpret large-scale data through the use of Viewer (ERDAS Imagine). Here is a map of Washington State: