Spectral Mixture for Remote Sensing

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E Book

Spectral Mixture for Remote Sensing

Shimabukuro, Yosio Edemir. - Nama Orang; Ponzoni, Flávio Jorge. - Nama Orang;

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.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-area mapping, 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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9783030020170

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Informasi Detail

Judul Seri: -
No. Panggil: -
Penerbit: Cham : Springer., 2019
Deskripsi Fisik: XIII, 80 p. 38 illus., 27 illus. in color.online resource.
Bahasa: English
ISBN/ISSN: 9783030020170
Klasifikasi: 910.285
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 1st ed.
Subjek: Optical data processing.
Image Processing and Computer Vision.
Computer simulation.
Simulation and Modeling.
Remote sensing.
Remote Sensing/Photogrammetry.
Physical geography.
Environmental monitoring.
Monitoring/Environmental Analysis.
Lasers.
Photonics.
Optics, Lasers, Photonics, Optical Devices.
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Yosio Edemir Shimabukuro, Flávio Jorge Ponzoni.

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