Is the ETM+ Band 2 more similar to Band 3 or Band 4? Explain why.Which ETM+ channel, or Band, exhibits the greatest degree of variation in BVs?Which of the bands facilitated discrimination f the various band cover types of most;For each image band, discuss how well your manual land-cover classification based on the numerical values compares with the land cover types that you can discern from the image.Which land cover type was most difficult to distinguish, using either the numerical values or visual image display? Which ETM+ channel enables the clearest/easiest discrimination (classification of the land – cover types? Which band provides an amount of information concerning the variation in land cover within the image subset? **Landsat 7 ETM+ Band 2 and Band 3 Brightness Values (BVs):**The images represent two matrices of brightness values (BVs) captured by Landsat 7 Enhanced Thematic Mapper Plus (ETM+) for Band 2 and Band 3. Each matrix displays a grid of numbers representing pixel values in a satellite image, with colors indicating different value ranges.**Landsat 7 ETM+ Band 2 BVs:**- **Color Coding:** - **Green:** High values ranging from 81 to 89. - **Yellow:** Intermediate values from 66 to 79. - **Blue:** Lower values from 59 to 68.- **Patterns:** - The upper portion of the matrix primarily features green, indicating higher brightness values. - Below that, the colors transition through yellow to predominantly blue in the lower section.**Landsat 7 ETM+ Band 3 BVs:**- **Color Coding:** - **Green:** Very high values between 98 and 110. - **Yellow:** Intermediate values from 71 to 81. - **Blue:** Lower values from 53 to 67.- **Patterns:** - The top portion shows more green, shifting to yellow and then to a majority of blue in the larger bottom segment of the matrix.These matrices are crucial for analyzing and interpreting satellite data, such as vegetation health and land cover changes, using the electromagnetic spectrum captured in different bands. ### Landsat 7 ETM+ Band 4 BVs:This table represents the brightness values (BVs) from Landsat 7 ETM+ Band 4. The matrix is organized in a grid pattern with each cell containing a numerical value that indicates the brightness level at that particular pixel.#### Grid Layout:- **Rows:** The rows are labeled from A to U.- **Columns:** The columns are labeled from 1 to 19.#### Data Analysis:- **Color Coding:** - The grid is color-coded where different hues represent varying levels of brightness: - **Green Shades:** Higher brightness values, with numbers ranging from the mid-60s to 71. - **Yellow Shades:** Mid-range brightness values, mainly showing numbers in the 40s and 50s. - **Blue Shades:** Lower brightness values, demonstrating numbers from the low 20s to mid-40s.- **Value Distribution:** - Higher values are situated predominantly at the top-left corner, with a gradual decrease moving towards the bottom-right. - The central region primarily features the lowest brightness values.This grid can be used for analyzing vegetative and water content in a given area as captured by Landsat 7's Band 4, which is sensitive to near-infrared light, particularly useful for studying plant health and water bodies.

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9th Edition

ISBN:9780134746241

Author:Edward J. Tarbuck, Frederick K. Lutgens, Dennis G. Tasa

Publisher:Edward J. Tarbuck, Frederick K. Lutgens, Dennis G. Tasa

Chapter1: The Study Of Minerals

Section: Chapter Questions

Problem 1LR

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Is the ETM+ Band 2 more similar to Band 3 or Band 4? Explain why.
Which ETM+ channel, or Band, exhibits the greatest degree of variation in BVs?
Which of the bands facilitated discrimination f the various band cover types of most;
For each image band, discuss how well your manual land-cover classification based on the numerical values compares with the land cover types that you can discern from the image.
Which land cover type was most difficult to distinguish, using either the numerical values or visual image display?

Which ETM+ channel enables the clearest/easiest discrimination (classification of the land – cover types? Which band provides an amount of information concerning the variation in land cover within the image subset?