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Showing posts from June, 2022

Lab 5: Spectral Reflectance Signature Analysis & Resource Monitoring

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Introduction & Goal The goals of this lab is to gain experience on the interpretation of spectral reflectance signatures of multiple surface features on Earth. The data is captured by satellite images to be used in performing monitoring and basic delineations of Earth's Resources. Including monitoring the health of vegetation and soils utilizing remote sensing band ratio techniques. This lab post is intended for future reference and documentation of the correct image classification skills, and includes collecting spectral reflectance signatures from remotely sensed images, graph them, and perform analysis on them by the end of this lab. Methods By using a Landsat ETM + image that covers the Chippewa Valley area and other regions of WI and MN, we will gather and analyze the spectral reflectance signatures of various Earth surface features. Twelve materials and surfaces from the image had data collected including spectral reflectance signatures in Erdas, although spectral signatu

Lab 4: Miscellaneous Image Functions

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  Introduction & Goal The objective of this laboratory exercise is to help students develop skills in Erdas Imagine 2020  software that include image preprocessing, enhancing image spatial resolution, delineate any study area (of interest) from a larger satellite image scene, mosaic multiple image scenes, and construct a simple graphical model for remote sensing analytic use. Eventually, students will be prepared to utilize these skills of image processing, interpretation, delineation, and enhancement with experience upon completing this lab. Methods & Results Utilizing the data provided for this lab, the first skill learned is subsetting images to create an area of interest (AOI) of a chosen study area. This is meant to introduce students to use a shapefile to delineate/subset an AOI out of a larger satellite image scene. To create the AOI, we needed to input the TM image of Eau Claire taken in 2011 (.img) into the Erdas Imagine Viewer . To create our area of interest file, we