Earth Science Satellite Remote Sensing, Volume 2: Data, Computational Processing, and Tools

About this book

Earth science satellite remote sensing has been rapidly expanding during the last decade. Volume 2 of this two volume monograph provides information on the Earth science remote sensing data information and data format such as HDF-EOS, and tools. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. Further it explores the remote sensing and GIS migration products and WebGIS applications. The core of this book arose from the workshop for Earth Science Satellite Remote Sensing held at George Mason University (GMU) in October 2002.

Both volumes are designed to give scientists and graduate students with limited remote sensing background a thorough introduction to current and future NASA, NOAA and other Earth science remote sensing.

Contents

Chapter 1: Introduction to Earth Science Satellite Remote Sensing Data Chapter 2: Introduction to Remote Sensing Data and Services at GES DAAC Chapter 3: Introduction Remote Sensing Data at EDC Chapter 4: Data Searching and Ordering from EOS Data Gateway(EDG) Chapter 5: MODIS Data Searching and Ordering from GDAAC Chapter 6: MODIS Calibration and Characterization (3.59Mb) Chapter 7: MODIS Simple and Scalable Script based Science Processor (S4P) Chapter 8: MODIS and GIS Migration Products via GDAAC RSIP Chapter 9: Remote Sensing Data Mining Chapter 10: EOS Tools Overview Chapter 11: ECS Data Pools Chapter 12: Introduction to HDF-EOS Chapter 13: MODIS Reprojection Tool (MRT) Chapter 14: Introduction to HDF-EOS Data Format Converter Chapter 15: Introduction to HDF-Look (new version of Msphinx) Chapter 16: Interoperable Access and Services of EOS Data Based on OGC Protocols Chapter 17: Distributed Online Data Access and Analysis Chapter 18; NASA WebGIS System (NWGISS) Chapter 19: Introduction to Distributed GIS Chapter 20: WebGIS at GDAAC

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