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GEOG 2107, Chapter One; Remote sensing basic concepts

by: Ivana Szwejkowski

GEOG 2107, Chapter One; Remote sensing basic concepts GEOG 2107

Marketplace > George Washington University > Geography > GEOG 2107 > GEOG 2107 Chapter One Remote sensing basic concepts
Ivana Szwejkowski
GPA 3.4
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About this Document

Notes cover definitions, advantages and disadvantages of remote sensing, attributes, and tools used in the process of collecting data.
Intro to Remote Sensing
Engstrom, R
Class Notes




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This 2 page Class Notes was uploaded by Ivana Szwejkowski on Wednesday August 31, 2016. The Class Notes belongs to GEOG 2107 at George Washington University taught by Engstrom, R in Fall 2015. Since its upload, it has received 4 views. For similar materials see Intro to Remote Sensing in Geography at George Washington University.


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Date Created: 08/31/16
Remote sensing- no contact Active remote sensing- send and receive signal Passive remote sensing- receive signal Crane/balloon- collect info that changes over time; soil moisture Aircraft- expensive Satellite- greater distance, lower accuracy UAV- cheaper, unmanned aerial vehicle. Data: Image Data Advantages of remote sensing: Different perspective Obtain Data from large areas Efficient; synoptic and systematic Obtain data for inaccessible areas Doesn’t affect/interact with phenomena of interest Disadvantages: Accuracy and consistently Artifacts/ processing errors* Scale related: Image is too coarse/detailed, moving between scales: Image+ in situ data High initial outlays for equipment High initial outlays for equipment and training Remote Sensing Process*** 1. Statement of the Problem 2. Data Collection- Ground Validation (survey, testing), image data, distance of coverage, place 3. Data analysis (Image Processing)- Poverty areas; dirt vs. paved roads, right angles vs. obscure angles 4. Presentation of Information -maps, charts, statistics, report, graphs, GIS layers Problem Solving with Remote Sensing User Needs Assessment -goals, purpose of study -match technology with user needs; data accessibility, data accuracy Data Requirements -Space/Time scales (Spatial Scale, Temporal Scale, Application; pollution, flooding, urban development, resource management) -Platform Resolution*** four components 1. Spatial 2. Temporal 3. Spectral 4. Radiometric


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