Earth Science Satellite Remote Sensing: Vol. 1: Science and Instruments

✍ Scribed by Prof. Menas Kafatos, Prof. John J. Qu (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: 445
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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 Spectrometer (TOMS), Atmospheric Infrared Sounder (AIRS), and Advanced Microwave Sounding Unit (AMSU). It also discusses the NPOESS and NPP missions. Emphasis was placed on the recently launched Moderate Resolution Imaging Spectroradiometer (MODIS) on board of both Terra and Aqua. Some key MODIS science team members were invited to contribute several chapters. The core of this monograph 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 missions.

✦ Table of Contents

Front Matter....Pages i-xxiii
Introduction to Science and Instruments....Pages 1-11
Introduction to MODIS and an Overview of Associated Activities....Pages 12-32
MODIS Level-1B Products....Pages 33-49
MODIS Geolocation....Pages 50-73
Introduction to MODIS Cloud Products....Pages 74-91
MODIS Observation of Aerosol Loading from 2000 to 2004....Pages 92-110
MODIS Land Products and Data Processing....Pages 111-122
Operational Atmospheric Correction of MODIS Visible to Middle Infrared Land Surface Data in the Case of an Infinite Lambertian Target....Pages 123-153
MODIS Snow and Sea Ice Products....Pages 154-181
The NPOESS Preparatory Project....Pages 182-198
The Visible Infrared Imaging Radiometer Suite....Pages 199-223
Conically Scanned Microwave Imager Sounder....Pages 224-242
Advanced Technology Microwave Sounder....Pages 243-253
Introduction to AIRS and CrIS....Pages 254-278
The Ozone Mapping and Profiler Suite....Pages 279-296
Estimating Solar UV-B Irradiance at the Earth’s Surface Using Multi-Satellite Remote Sensing Measurements....Pages 297-316
Surface Rain Rates from Tropical Rainfall Measuring Mission Satellite Algorithms....Pages 317-336
Use of Satellite Remote Sensing Data for Modeling Carbon Emissions from Fires: A Perspective in North America....Pages 337-362
TRMM Fire Algorithm, Product and Applications....Pages 363-391
China’s Current and Future Meteorological Satellite Systems....Pages 392-413
Back Matter....Pages 414-418

✦ Subjects

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

📜 SIMILAR VOLUMES

Earth Science Satellite Remote Sensing

📁 Earth Science Satellite Remote Sensing

✍ John J. Qu, John J. Qu;Wei Gao;M. Kafatos;Robert E. Murphy;Vincent V. Salomonson 📂 Library 📅 2007 🏛 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:

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

✍ Prof. John J. Qu, Prof. Menas Kafatos (auth.), Prof. John J. Qu, Dr. Wei Gao, Pr 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 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 approac

Remote Sensing Advances for Earth System

📁 Remote Sensing Advances for Earth System Science: The ESA Changing Earth Science Network: Projects 2009-2011

✍ Diego Fernández-Prieto, Roberto Sabia (auth.) 📂 Library 📅 2013 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

To better understand the various processes and interactions that govern the Earth system and to determine whether recent human-induced changes could ultimately de-stabilise its dynamics, both natural system variability and the consequences of human activities have to be observed and quantified. I

Remote Sensing Advances for Earth System

📁 Remote Sensing Advances for Earth System Science: The ESA Changing Earth Science Network: Projects 2011-2013

✍ Diego Fernández-Prieto, Roberto Sabia (eds.) 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

This book presents cutting-edge remote sensing research, outlining the advanced use of European Space Agency (ESA) satellite data in the context of climate change. The ESA, through its Support to Science Element (STSE) Programme, funds a network of young post-doc scientists pursuing 2-year cut

Optical remote sensing: science and tech

📁 Optical remote sensing: science and technology

✍ Walter G. Egan 📂 Library 📅 2004 🏛 M. Dekker 🌐 English

Written by a pioneer in the field, this unique volume is the only one of its kind to explore advanced concepts in the mathematical representation of polarization, descriptors, and various optical elements used in the analysis of polarization in multiple applications—highlighting tried and proven tec

Deep Learning for the Earth Sciences: A

📁 Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

✍ Gustau Camps-Valls (editor), Devis Tuia (editor), Xiao Xiang Zhu (editor), Marku 📂 Library 📅 2021 🏛 Wiley 🌐 English

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spect