Remote Sensing Lab 4

Jeff Gibbs

Remote Sensing Lab 4 blog

5/14/2020

Goal and background: 

        Over the course of this lab, I was instructed to learn and practice numerous techniques related to image manipulation in remote sensing. Among these skills were subsetting an image, image fusion, working with radiometric enhancement, connecting satellite images to google earth, resampling satellite images, image mosaicking, and graphical modeling. 

Methodology:

First, to learn about image subsetting, I used an image and shapefile of Eau Claire. I overlaid the image onto the shapefile and saved it as an AOI file. I then clicked Raster, and Subset and Chip to create a subsetted image. Next, I followed steps to perform image fusion between two images: ec_cpw_2000.img and ec_cpw_2000pan.img. I added both images to a new Erdas Imagine. After this, I clicked Raster, Pan sharpen , and Resolution merge. I put in the appropriate settings, saved the new image in my lab 4 folder, and ran the model.To radiometrically enhance the image eau_claire_2007.img, I first added it to a new Erdas imagine. Next, I clicked Raster, Radiometric, and Haze Reduction. After this, I learned how to link an image to Google Earth. First, I opened an Erdas Imagine viewer and brought in the image: eau_claire_2011.img. After fitting it to frame, I clicked on the help tab, Google Earth, and learned how to follow the steps to connect the image. Later in the lab, I learned how to resample an image. I opened a new Erdas viewer and added the image: eau_claire_2011.img image. After fitting it to frame, I opened the image metadata and examined it. Next, I clicked on Raster, Spatial, Resample pixel size. The Resample window opened. I then input the proper settings and designated the proper output folder. Next I added the eau_claire_2011.img image and ran a bilinear interpolation resampling. For the last part of the image, I performed an image mosaic. I opened Erdas Imagine and viewed the images: eau_claire_1995p26r29 and eau_claire_1995p25r29 in the lab 4 mosaic sub-folder. I then performed functions to optimize the images for image mosaic. Next, I added both images and performed image mosaic with mosaic express and then mosaic pro. Last, I created a model to perform image differencing. 

Results:

an image subset

Part 2: an image fusion

a radiometric output image

a bilinear resample

an image created with mosaic pro

image differencing 

Sources:

Satellite images: Earth Resources Observation and Science Center, United States Geological Survey. Shapefile: Mastering ArcGIS 6th Edition Dataset by Maribeth Price, McGraw Hill, 2014.