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181201 ||| eng |
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|a 9783030020170
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| 100 |
1 |
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|a Shimabukuro, Yosio Edemir
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| 245 |
0 |
0 |
|a Spectral Mixture for Remote Sensing
|h Elektronische Ressource
|b Linear Model and Applications
|c by Yosio Edemir Shimabukuro, Flávio Jorge Ponzoni
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| 250 |
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|a 1st ed. 2019
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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| 300 |
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|a XIII, 80 p. 38 illus., 27 illus. in color
|b online resource
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| 505 |
0 |
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|a Chapter1: Basic concepts -- Chapter2: The origin of digital numbers (DN) -- Chapter3: Orbital sensors -- Chapter4: Linear spectral mixing model -- Chapter5: Fraction images -- Chapter6: Applications of fraction images -- Chapter7: Final considerations
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| 653 |
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|a Environmental monitoring
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| 653 |
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|a Laser
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| 653 |
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|a Geographical Information System
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| 653 |
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|a Computer vision
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| 653 |
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|a Computer simulation
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| 653 |
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|a Computer Modelling
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| 653 |
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|a Computer Vision
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| 653 |
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|a Lasers
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| 653 |
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|a Physical geography
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| 653 |
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|a Geographic information systems
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| 653 |
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|a Physical Geography
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| 653 |
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|a Environmental Monitoring
|
| 700 |
1 |
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|a Ponzoni, Flávio Jorge
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Springer Remote Sensing/Photogrammetry
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-02017-0
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-02017-0?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 910.285
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| 520 |
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|a This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modeling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon region. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing. Chapter 1 addresses the basic concepts of spectral mixing, while chapters 2 and 3 discuss digital numbers and orbital sensors such as MODIS and Landsat MSS. Chapter 4 details the linear spectral mixing model, and chapter 5 explains the use of this technique to create fraction images. Chapter 6 offers remote sensing applications of fraction images in deforestation monitoring, burned-areamapping, selective logging detection, and land-use/land-cover mapping. Chapter 7 gives some concluding thoughts on spectral mixing, and considers future uses in environmental remote sensing. This book will be of interest to students, teachers, and researchers using remote sensing for Earth observation and environmental modeling
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