Spectral Mixture for Remote Sensing / Springer Remote Sensing/Photogrammetry (PDF)
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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 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.
Flávio Jorge Ponzoni has worked as a researcher in the Remote Sensing Division at the National Institute for Space Research since 1985. His research interests have included the spectral characterization of vegetation, and recent studies that include the effect of multi-angularity in this characterization. Recently he has been dedicated to the absolute calibration of remotely located sensors, especially those of the CBERS program. In 2009, he joined the WGCV of the CEOS committee and has been involved in international calibration and data validation missions of the IVOS sub-group. He also works as a Professor of the Post-Graduate Course in Remote Sensing of INPE's Land Observation Coordination, teaching Radiometric Transformation of Orbital Data, Spectral Behavior of Targets, and Seminars in Remote Sensing.
- Autoren: Yosio Edemir Shimabukuro , Flávio Jorge Ponzoni
- 2018, 1st ed. 2019, 80 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030020177
- ISBN-13: 9783030020170
- Erscheinungsdatum: 10.11.2018
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- Größe: 5.50 MB
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