Showing posts with label Photo Interpretation and Remote Sensing. Show all posts
Showing posts with label Photo Interpretation and Remote Sensing. Show all posts

Wednesday, November 18, 2020

Module 4: Spatial & Spectral Enhancements and Band Indices

 


     This weeks lab explored various methods of image preprocessing and band indices. The lab required us to utilize both ArcGIS Pro and Erdas Imagine to identify features in images via the implementation of various band combinations. We also were introduced to the NDVI function of Erdas Imagine and the utility of histograms in both programs. Using the various techniques learned throughout the lab, we were given spectral criteria for three features and tasked with identifying and presenting them. The resulting maps and there band combinations are depicted in the layout above. The label under each map states the feature that map accentuates.

Tuesday, November 10, 2020

Module 3: Intro to Electromagnetic Radiation (EMR), Sensors, & Digital Image Processing

 


     This week's lab introduced us to Erdas Imagine and various ways to utilize the program in analyzing and editing raster data. The activity incorporated theory regarding electromagnetic radiation, radiometric resolution, spatial resolution, spectral resolution, and temporal resolution. We were also tasked with calculating various frequencies, wavelengths, and energy per photon for several sections of the Electromagnetic Spectrum. The lab required us to alter data in Erdas Imagine and then create a map of the altered raster data via ArcGIS Pro. The data consisted of land cover classifications from a satellite image for a section of Northwestern Washington State. The resulting map is displayed above.

Wednesday, November 4, 2020

Module 2: Land Use Land Cover (LULC) Classification, Ground Truthing, & Accuracy Assessment

 


     This week's lab required us to create a level II Land Use Land Cover (LULC) map for the city of Pascagoula, Mississippi. This was accomplished by creating and digitizing a polygon feature class and assigning each polygon a classification code based upon the remotely sensed image provided. Once the LULC map was fully digitized and classified, google maps was employed in place of in situ ground truthing. The above map depicts the LULC classifications, in addition to, the locations and results of the ground truthing sample points. While immensely time consuming, this lab was quite fascinating and I would enjoy working on similar projects in the future.

Tuesday, October 27, 2020

Module 1: Visual Interpretation

 



     This week's lab required us to create a map layout displaying different tones and textures within a photo image, which is shown above (bottom). We were also tasked with identifying features and objects using their shape, size, shadow, pattern, and surroundings. A map depicting these features and the technique used is displayed above (top). The final part of our lab had us examine an area with a true color and false color image of the area. We compared these two images to investigate the transformation of colors between true color and false color imagery. This was an immensely exciting and intriguing lab. I eagerly await the rest of the course.