Earth Science Satellite Remote Sensing (eBook)

Vol.2: Data, Computational Processing, and Tools

John J. Qu, Wei Gao, Menas Kafatos, Robert E. Murphy, Vincent V. Salomonson (Herausgeber)

eBook Download: PDF

2007 | 2006
XXIII, 335 Seiten
Springer Berlin (Verlag)
978-3-540-37294-3 (ISBN)

Infos

This book provides information on the Earth science remote sensing data information and data format such as HDF-EOS. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. It further explores the remote sensing and GIS migration products and WebGIS applications. Both volumes are designed to give an introduction to current and future NASA, NOAA and other Earth science remote sensing.

Inhalt

This book is dedicated to Dr. Vincent V. Salomonson 5
Contents 9
List of Contributors 17
1 Introduction to Data, Computational Processing, and Tools of Satellite Remote Sensing 22
References 30
2 Earth Science Satellite Remote Sensing Data from the EOS Data and Information System 32
2.1 Introduction 32
2.2 EOSDIS Core System 35
2.3 Science Computing Facilities and Science Investigator- Led Processing Systems 35
2.4 Data Access 36
2.5 Perspectives 37
3 Remotely Sensed Data Available from the US Geological Survey EROS Data Center 39
3.1 Introduction 39
3.2 Data Products 40
3.3 Conclusions 71
Acknowledgements 72
References 72
4 NASA Direct Readout for Its Polar Orbiting Satellites 73
4.1 Introduction 73
4.2 Context in History 73
4.3 The Next Step 77
4.4 DB Community 78
4.5 Technologies and Data Flows in Direct Broadcast and Direct Readout 79
4.6 A DB Model 81
4.7 Technology Roadmap 82
4.8 Science Processing Algorithm Wrapper (SPA) 93
4.9 The Future of DB and DR 95
Acknowledgements 96
References 97
5 MODIS Calibration and Characterization 98
5.1 Instrument Background 98
5.2 MODIS Pre-Launch Calibration and Characterization 101
5.3 MODIS On-Orbit Calibration and Characterization 107
5.4 Summary 117
References 117
6 Use of the Moon for Calibration and Characteri-zation of MODIS, SeaWiFS, and VIRS 119
6.1 Introduction 119
6.2 Lunar Calibration and Characterization of MODIS 124
6.3 Lunar Calibration and Characterization of SeaWiFS 129
6.4 Lunar Calibration and Characterization of Visible and Infrared Scanner 134
6.5 Using the Moon for Inter-Comparison of Sensors’ On- Orbit Radiometric Calibrations 137
6.6 Summary 139
References 139
7 A Review of Remote Sensing Data Formats for Earth System Observations 141
7.1 Introduction 141
7.2 Hierarchical Data Format 144
7.3 HDF-EOS 147
7.4 HDF5 152
7.5 HDF5-Based HDF-EOS 157
7.6 NITF 158
7.7 TIFF and GeoTIFF 161
7.8 Summary 165
Acknowledgements 165
References 166
8 A Simple, Scalable, Script-Based Science Processor 167
8.1 Genesis of the Simple, Scalable, Script-Based Science Processor 167
8.2 Architecture and Design 168
8.3 Design Principles 170
8.4 How S4P Works 173
8.5 S4P Reuse 175
8.6 S4P for Missions Implementation 177
8.7 Future Development 181
8.8 Conclusions 181
References 182
9 The MODIS Reprojection Tool 183
9.1 Introduction 183
9.2 MRT Functional Capabilities 184
9.3 Special Considerations 197
9.4 Summary 198
Acknowledgements 198
References 198
10 A Tool for Conversion of Earth Observing System Data Products to GIS Compatible Formats and for the Provision of Post- Processing Functionality 199
10.1 Introduction 199
10.2 Functionality 201
10.3 GUI Overview 202
10.4 Access 204
10.5 Data Sets Tested and Examples of Usage 205
10.6 Conclusions 210
References 210
11 HDFLook—Multifunctional HDF-EOS Tool for MODIS and AIRS Data Processing at GES DISC DAAC 211
11.1 Introduction 211
11.2 HDFLook Main Features 211
11.3 GES DISC DAAC HDFLook Applications 218
11.4 Global MODIS Browse Imagery 219
11.5 HDFLook Releases and Distribution 221
11.6 Conclusions 221
Acknowledgements 221
References 221
12 Tropical Rainfall Measuring Mission Data and Access Tools 223
12.1 Introduction 223
12.2 TRMM Products 227
12.3 TRMM Field Experiment Data Sets 233
12.4 Tools for Data Visualization and Analysis 234
12.5 TRMM Data Access and Usage 236
12.6 TRMM Applications 238
Acknowledgements 239
References 239
13 The Open GIS Web Service Specifications for Interoperable Access and Services of NASA EOS Data 241
13.1 Introduction 241
13.2 NASA EOSDIS Data Environment 242
13.3 The OGC Web-Based Interoperable Data Access Technology 244
13.4 Applying OGC Technology to the NASA EOS Data Environment 249
13.5 The Current Implementation Status of the OGC Technology 250
13.6 The Anticipated Impacts on End Users 251
References 252
14 Global MODIS Remote Sensing Data for Local Usage: Vaccess/ MAGIC 254
14.1 Introduction 254
14.2 MODIS Data Processing for Regional Use 256
14.3 MODIS Real-Time Data Processing 261
14.4 Summary and Discussions 264
References 264
15 The NASA HDF-EOS Web GIS Software Suite 266
15.1 Introduction 266
15.2 The Current NWGISS Components and Their Functionalities 267
15.3 The Integration of NWGISS with Grid Technology 269
15.4 The Development of Geospatial Web Services in NWGISS 270
15.5 Conclusions 273
Acknowledgements 273
References 274
16 Network Geographic Information System 275
16.1 Introduction 275
16.2 Network Infrastructure 276
16.3 Distributing GIS Functions 280
16.4 Distributed GIS 283
16.5 Network GIS Taxonomy 284
16.6 Examples of Network GIS 285
16.7 Research Topics in Network GIS 288
Acknowledgements 289
References 290
17 A Content- Based Search Method and Its Application for EOS 293
17.1 Introduction 293
17.2 Method 294
17.3 Prototype System 300
17.4 Results 302
17.5 Conclusions and Future Work 308
Acknowledgements 310
References 310
18 The Impact of Precipitation and Temperature on Net Primary Productivity in Xinjiang, China from 1981 to 2000 313
18.1 Introduction 313
18.2 Material and Methods 314
18.3 Results and Discussion 318
18.4 Conclusions 324
Acknowledgements 325
References 325
Appendix A Earth Science Remote Sensing Data and Services and Information Technology at the NASA/ GES DISC DAAC 327
A.1 Introduction 327
A.2 An Integrated Organization 330
A.3 Utilizing Information Technology: Data, Information, Services 332
A.4 Evolving the GES DISC 335
A.5 Summary 338
Appendix B 339
B.1 A C Code Example for the HDF SD API 339
B.2 A C Code Example for the HDF-EOS SW API 341
B.3 A C Code Segment for the HDF-EOS GD API 343
B.4 A C Code Example for the HDF5 API 344
B.5 A C Code Example for the HDF-EOS5 SW API 347
Appendix C Internet Links for Data Access ( Search and Order) 350
Index 351

Produkt-Details

• Erscheint lt. Verlag: 29.4.2007
• Zusatzinfo: XXIII, 335 p.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Geologie
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Astronomie / Astrophysik
• Themenwelt: Technik
• Schlagworte: air pollution and air quality • Digital Elevation Model • EOS • Geoinformationssysteme • GIS • Nasa • NOAA • Remote Sensing • Remote Sensing/Photogrammetry • Satellite • TUP
• ISBN-10: 3-540-37294-6 / 3540372946
• ISBN-13: 978-3-540-37294-3 / 9783540372943