عنوان

Spectral mixture for remote sensing :

(Number (ISBN

3030020177

(Number (ISBN

9783030020170

Erroneous ISBN

3030020169

Erroneous ISBN

9783030020163

Title Proper

Spectral mixture for remote sensing :

General Material Designation

[Book]

Other Title Information

linear model and applications /

First Statement of Responsibility

Yosio Edemir Shimabukuro, Flávio Jorge Ponzoni.

Place of Publication, Distribution, etc.

Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2019.

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations (some color)

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030020170

Title

Spectral mixture for remote sensing.

International Standard Book Number

9783030020163

Image analysis-- Mathematical models.

Remote sensing-- Mathematical models.

Spectral imaging.

Computer modelling & simulation.

Environmental monitoring.

Geographical information systems (GIS) & remote sensing.

Image analysis-- Mathematical models.

Image processing.

Laser technology & holography.

Physical geography & topography.

Remote sensing-- Mathematical models.

Spectral imaging.

TECHNOLOGY & ENGINEERING-- Mechanical.

TEC-- 009070

Number

Edition

Class number

Shimabukuro, Yosio Edemir

Ponzoni, Flávio Jorge

Date of Transaction

20200823073718.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y