𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

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

✍ Scribed by Prof. John J. Qu, Prof. Menas Kafatos (auth.), Prof. John J. Qu, Dr. Wei Gao, Prof. Menas Kafatos, Dr. Robert E. Murphy, Dr. Vincent V. Salomonson (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2006
Tongue
English
Leaves
356
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xxiii
Introduction to Data, Computational Processing, and Tools of Satellite Remote Sensing....Pages 1-10
Earth Science Satellite Remote Sensing Data from the EOS Data and Information System....Pages 11-17
Remotely Sensed Data Available from the US Geological Survey EROS Data Center....Pages 18-51
NASA Direct Readout for Its Polar Orbiting Satellites....Pages 52-76
MODIS Calibration and Characterization....Pages 77-97
Use of the Moon for Calibration and Characterization of MODIS, SeaWiFS, and VIRS....Pages 98-119
A Review of Remote Sensing Data Formats for Earth System Observations....Pages 120-145
A Simple, Scalable, Script-Based Science Processor....Pages 146-161
The MODIS Reprojection Tool....Pages 162-177
A Tool for Conversion of Earth Observing System Data Products to GIS Compatible Formats and for the Provision of Post-Processing Functionality....Pages 178-189
HDFLookβ€”Multifunctional HDF-EOS Tool for MODIS and AIRS Data Processing at GES DISC DAAC....Pages 190-201
Tropical Rainfall Measuring Mission Data and Access Tools....Pages 202-219
The Open GIS Web Service Specifications for Interoperable Access and Services of NASA EOS Data....Pages 220-232
Global MODIS Remote Sensing Data for Local Usage: Vaccess/MAGIC....Pages 233-244
The NASA HDF-EOS Web GIS Software Suite....Pages 245-253
Network Geographic Information System....Pages 254-271
A Content-Based Search Method and Its Application for EOS....Pages 272-291
The Impact of Precipitation and Temperature on Net Primary Productivity in Xinjiang, China from 1981 to 2000....Pages 292-305
Back Matter....Pages 306-335

✦ Subjects


Remote Sensing/Photogrammetry; Geophysics/Geodesy; Computer Applications in Geosciences; Extraterrestrial Physics, Space Sciences; Atmospheric Protection/Air Quality Control/Air Pollution; Nature Conservation


πŸ“œ SIMILAR VOLUMES


Earth Science Satellite Remote Sensing
✍ John J. Qu, John J. Qu;Wei Gao;M. Kafatos;Robert E. Murphy;Vincent V. Salomonson πŸ“‚ Library πŸ“… 2007 πŸ› Springer 🌐 English

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 an

Earth Science Satellite Remote Sensing:
✍ Prof. Menas Kafatos, Prof. John J. Qu (auth.), Prof. John J. Qu, Dr. Wei Gao, Pr πŸ“‚ Library πŸ“… 2006 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><P>Satellite remote sensing for Earth science data has been rapidly expanding during the last decade. Volume 1 of this two volume monograph covers missions/sensors, such as Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Tropical Rainfall Measuring Mission (TRMM), Total Ozone Mapping Spectromete

Big Data Analytics for Satellite Image P
✍ P. Swarnalatha, Prabu Sevugan πŸ“‚ Library πŸ“… 2018 πŸ› IGI Global 🌐 English

<p>The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.</p><p><b>Big Data Analytics for Satellite Image Processing and Remote Sensin

Satellite Remote Sensing in Hydrological
✍ Mehdi Khaki πŸ“‚ Library πŸ“… 2020 πŸ› Springer 🌐 English

<p><span>This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources