![]() ![]() Zoom and move around the image to find and examine Burke Lakefront Airport, From its shape and the pattern of the runways, you should be able.Images, as you’ll be working with this one for the rest of the lab. The red gun, band 4 in the green gun, and band 3 in the blue gun). Reopen the image one more time and return to the 5-4-3 combination (that is, band 5 in.(compared with the arrangement in Question 10.4)? Why are they displayed in thisĮxamining Color Composites and Color Formations Question 10.7 How are vegetated areas being displayed in this color composite Question 10.6 Once again, what kind of composite was created in this step? Gun, and band 3 in the blue gun (referred to as a 7-5-3 combination). Reopen the image yet again, this time using band 7 in the red gun, band 5 in the green.Question 10.5 Why can’t you always use the kind of composite from Question 10.4 Question 10.4 What kind of composite did you create in this step? How are theīands displayed in this color composite in relation to their guns? When the image reloads, panĪnd zoom around the image, examining the same areas you just looked at. Reopen the image, this time using band 4 in the red gun, band 3 in the green gun, andīand 2 in the blue gun (referred to as a 4-3-2 combination).Question 10.3 In this color composite, what colors are used to display the water, vegetated areas, and urban areas in the image? Question 10.2 Why are the colors in the image so strange compared to what you’re normally used to seeing in other imagery (such as Google Earth or Google Maps)? For example, why is most of the landscape red? Question 10.1 What wavelength bands were placed into which color guns? Zoom around the image, paying attention to some of the city, landscape, and water areas. To each color gun in the dialog box represents the band being displayed with that gun.ĭisplay band 5 in the red color gun, band 4 in the green color gun, and band 3 in the blueĪccept the other defaults for now and click OK.Ī new window appears, and the clevelandjuly image begins loading. (See the “Lab Data” section for a list of the bands thatĬorrespond to the various parts of the electromagnetic spectrum.) The number listed next Under Channels, you see the three color guns available to you (red, green, and blue).Įach color gun can hold one band. Thus, each pixel you will examine covers a 30 meter × 30 meter area on the ground. Keep in mind that Landsat 8 imagery has a 30-meter spatial resolution (except for the panchromatic band, which is 15 meters). * Band 7: Shortwave infrared 2 (2.11 to 2.29 µm) * Band 6: Shortwave infrared 1 (1.57 to 1.65 µm) We will discuss Landsat imagery in more detail in Chapter 11, but for now, you just need to know that the OLI and TIRS imagery bands refer to the following portions of the electromagnetic (EM) spectrum, in micrometers (µm): This file shows a subset of a larger Landsat satellite image. Use full sentences as necessary to answer the prompts and submit it to blackboard.Ĭopy the folder Chapter 10, which contains a Landsat 8 OLI/TIRS satellite image (called clevelandjuly.img) of Cleveland, Ohio, from July 18, 2018. You are answering the questions (laid out in the word doc above and also included in the tutorial below) as you work through the lab. Lab 09 - Descriptive Spatial Statistics and Point Pattern Analysis Lab 07 - Siting a New School with Model Builder and Fungus weight Lab 06 - Cost Distance, Region Groups, more Model Builder & Python Lab 01 - Data survey and database building Lab - ELECTROMAGNETIC RADIATION PRINCIPLES Lab - INTRODUCTION TO UNIT CONVERSION & SCALE PROBLEMS Lab - INTRODUCTION TO IMAGE INTERPRETATION Lab - Introduction to ERDAS IMAGINE (Part II) Lab - Data Acquisition and Image Preprocessing Lab 09 - Interpolation and Fire Hazard Modeling Lab 08 - Introduction to network analyist and ArcScene Lab 07 - Overlay & site suitability analysis Lab 04 - On-Screen Digitizing & Image Restoration Lab 03 - Using GPS for Field Data Collection ![]() Lab 02 - Projections and Coordinate Systems Lab 13 - Earth Observing Missions Imagery Lab 11 - Remotely Sensed Imagery and Color Composites ![]() Lab 03 - Coordinates and Position Measurements Lab 02 - Introduction to Google Earth Pro ![]()
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