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Spectral Mixture for Remote Sensing - Linear Model and Applications (Hardcover, 1st ed. 2019)
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Spectral Mixture for Remote Sensing - Linear Model and Applications (Hardcover, 1st ed. 2019)
Series: Springer Remote Sensing/Photogrammetry
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This book explains in a didactic way the basic concepts of spectral
mixing, digital numbers and orbital sensors, and then presents the
linear modelling 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. 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 talks about how to use 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 modelling.
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