Remote sensing handbook. Volume I, Remotely sensed data characterization, classification, and accuracies

712 Pages·2015·45.03 MB·English

by  Prasad Srinivasa

REMOTE SENSING HANDBOOK
VOLUME I
REMOTELY SENSED
DATA CHARACTERIZATION,
CLASSIFICATION, ACCURACIES
AND
© 2016 by Taylor & Francis Group, LLC
Remote Sensing Handbook
Remotely Sensed Data Characterization, Classification, and Accuracies
Land Resources Monitoring, Modeling, and Mapping with Remote Sensing
Remote Sensing of Water Resources, Disasters, and Urban Studies

© 2016 by Taylor & Francis Group, LLC
REMOTE SENSING HAN DBOOK
VOLUME I
REMOTELY SENSED
DATA CHARACTERIZATION,
CLASSIFICATION, ACCURACIES
AND
Edited by
Prasad S. Thenkabail, PhD
United States Geological Survey (USGS)

© 2016 by Taylor & Francis Group, LLC
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I dedicate this work to my revered parents whose sacrifices gave me an education,
as well as to all those teachers from whom I learned remote sensing over the years.

© 2016 by Taylor & Francis Group, LLC
© 2016 by Taylor & Francis Group, LLC
Contents
Foreword ........................................................................................................................................................xi
Preface.........................................................................................................................................................xvii
Acknowledgments .....................................................................................................................................xxiii
Editor ........................................................................................................................................................ xxvii
Contributors .............................................................................................................................................. xxxi
Section i Satellites and Sensors from Different eras and their characteristics
1 Remote Sensing Systems—Platforms and Sensors: Aerial, Satellite, UAV, Optical,
Radar, and LiDAR .......................................................................................................................................................3
Sudhanshu S. Panda, Mahesh N. Rao, Prasad S. Thenkabail, and James E. Fitzerald
Section ii Fundamentals of Remote Sensing: evolution, State of the Art,
and Future Possibilities
2 Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of
the Art, and Future Possibilities ...........................................................................................................................61
Natascha Oppelt, Rolf Scheiber, Peter Gege, Martin Wegmann, Hannes Taubenboeck, and Michael Berger
Section iii Remote Sensing Data normalization, Harmonization,
and intersensor calibration

3 Overview of Satellite Image Radiometry in the Solar-Reflective Optical Domain ................................87
Philippe M. Teillet
4 Postlaunch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis
on Terrestrial Reference Standard Sites ............................................................................................................109
Philippe M. Teillet and Gyanesh Chander
5 Remote Sensing Data Normalization .................................................................................................................133
Rudiger Gens and Jordi Cristóbal Rosselló
6 Satellite Data Degradations and Their Impacts on High-Level Products ...............................................143
Dongdong Wang
vii
© 2016 by Taylor & Francis Group, LLC
viii Contents
Section iV Vegetation index Standardization and cross-calibration of
Data from Multiple Sensors
7 Inter- and Intrasensor Spectral Compatibility and Calibration of the Enhanced
Vegetation Indices ...................................................................................................................................................155
Tomoaki Miura, Kenta Obata, Javzandulam T. Azuma, Alfredo Huete, and Hiroki Yoshioka
8 Toward Standardization of Vegetation Indices ...............................................................................................175
Michael D. Steven, Timothy J. Malthus, and Frédéric Baret
Section V image Processing Methods and Approaches
9 Digital Image Processing: A Review of the Fundamental Methods and Techniques ...........................197
Sunil Narumalani and Paul Merani
10 Urban Image Classification: Per-Pixel Classifiers, Subpixel Analysis, Object-Based Image
Analysis, and Geospatial Methods .....................................................................................................................219
Soe W. Myint, Victor Mesev, Dale A. Quattrochi, and Elizabeth A. Wentz
11 Image Classification Methods in Land Cover and Land Use ......................................................................231
Mutlu Özdoğan
12 Hyperspectral Image Processing: Methods and Approaches ......................................................................247
Jun Li and Antonio Plaza
13 Thermal Infrared Remote Sensing: Principles and Theoretical Background ........................................259
Claudia Kuenzer, Jianzhong Zhang, and Stefan Dech
14 Object-Based Image Analysis: Evolution, History, State of the Art, and Future Vision .....................277
Thomas Blaschke, Maggi Kelly, and Helena Merschdorf
15 Geospatial Data Integration in OBIA: Implications of Accuracy and Validity .....................................295
Stefan Lang and Dirk Tiede
16 Image Segmentation Algorithms for Land Categorization ..........................................................................317
James C. Tilton, Selim Aksoy, and Yuliya Tarabalka
17 LiDAR Data Processing and Applications ........................................................................................................343
Shih-Hong Chio, Tzu-Yi Chuang, Pai-Hui Hsu, Jen-Jer Jaw, Shih-Yuan Lin, Yu-Ching Lin, Tee-Ann Teo,
Fuan Tsai, Yi-Hsing Tseng, Cheng-Kai Wang, Chi-Kuei Wang, Miao Wang, and Ming-Der Yang
Section Vi change Detection
18 Change Detection Techniques Using Multisensor Data ...............................................................................377
Daniela Anjos, Dengsheng Lu, Luciano Dutra, and Sidnei Sant’Anna
Section Vii integrating Geographic information Systems (GiS) and Remote
Sensing in Spatial Modeling Framework for Decision Support
19 Geoprocessing, Workflows, and Provenance ..................................................................................................401
Jason A. Tullis, Jackson D. Cothren, David P. Lanter, Xuan Shi, W. Fredrick Limp, Rachel F. Linck, Sean G. Young,
and Tareefa S. Alsumaiti
20 Toward Democratization of Geographic Information: GIS, Remote Sensing, and
GNSS Applications in Everyday Life ..................................................................................................................423
Gaurav Sinha, Barry J. Kronenfeld, and Jeffrey C. Brunskill
© 2016 by Taylor & Francis Group, LLC
Contents ix
21 Frontiers of GIScience: Evolution, State of the Art, and Future Pathways..............................................445
May Yuan
22 Object-Based Regionalization for Policy-Oriented Partitioning of Space ..............................................457
Stefan Lang, Stefan Kienberger, Michael Hagenlocher, and Lena Pernkopf
Section Viii Global navigation Satellite Systems (GnSS) Remote Sensing
23 Global Navigation Satellite Systems Theory and Practice: Evolution, State of
the Art, and Future Pathways ..............................................................................................................................481
Mohinder S. Grewal
24 Global Navigation Satellite System Reflectometry for Ocean and Land Applications ........................493
Kegen Yu, Chris Rizos, and Andrew Dempster
25 Global Navigation Satellite Systems for Wide Array of Terrestrial Applications .................................509
D. Myszor, O. Antemijczuk, M. Grygierek, M. Wierzchanowski, and K.A. Cyran
Section iX crowdsourcing and Remote Sensing Data
26 Crowdsourcing and Remote Sensing: Combining Two Views of Planet Earth ......................................535
Fabio Dell’Acqua
Section X cloud computing and Remote Sensing
27 Processing Remote-Sensing Data in Cloud Computing Environments ...................................................553
Ramanathan Sugumaran, James W. Hegeman, Vivek B. Sardeshmukh, and Marc P. Armstrong
Section Xi Google earth for Remote Sensing
28 Google Earth for Remote Sensing .......................................................................................................................565
John E. Bailey
Section Xii Accuracies, errors, and Uncertainties of Remote
Sensing–Derived Products

29 Assessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed Data .........583
Russell G. Congalton
Section Xiii Space Law and Remote Sensing
30 Remote Sensing Law: An Overview of Its Development and Its Trajectory in the Global Context .......605
P.J. Blount
Section XiV Summary
31 Remote Sensing Data Characterization, Classification, and Accuracies: Advances of the Last
50 Years and a Vision for the Future .................................................................................................................625
Prasad S. Thenkabail
Index ...........................................................................................................................................................663
© 2016 by Taylor & Francis Group, LLC
© 2016 by Taylor & Francis Group, LLC