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21 - Accurate MODIS global geolocation through automated ground control image matching

from PART IV - Applications and Operational Systems

Published online by Cambridge University Press:  03 May 2011

By
Robert E. Wolfe  and
Masahiro Nishihama
Edited by
Jacqueline Le Moigne ,
Nathan S. Netanyahu  and
Roger D. Eastman
Robert E. Wolfe
Affiliation:
NASA Goddard Space Flight Center, Maryland
Masahiro Nishihama
Affiliation:
NASA Goddard Space Flight Center, Maryland
Jacqueline Le Moigne
Affiliation:
NASA-Goddard Space Flight Center
Nathan S. Netanyahu
Affiliation:
Bar-Ilan University, Israel and University of Maryland, College Park
Roger D. Eastman
Affiliation:
Loyola University Maryland
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Summary

Abstract

A global network of ground control points (GCPs) is being used to maintain the geolocation accuracy of terrestrial remote sensing data from the two Moderate Resolution Imaging Spectroradiometers (MODIS) on NASA's Earth Observing System (EOS) Terra and Aqua spacecrafts. Biases and trends in the sensor orientation determined from automated control point matching are removed by updating models of the spacecraft and instrument orientation in the MODIS geolocation software. This technique has been used to keep the MODIS geolocation accuracy to approximately 50 m (1σ) at nadir. This chapter overviews an approach to automated matching of global GCPs and summarizes eight years of geolocation analysis. This approach allows an operational characterization of the MODIS geolocation errors and enables individual MODIS observations to be geolocated to the subpixel accuracies required for terrestrial global change applications.

Introduction

Two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors (Salomonson et al., 1989) have been launched as part of NASA's Earth Observing System (EOS). The first was launched in December 1999 on the Terra platform and the second in May 2002 on the Aqua platform. The observations from these sensors need to be geolocated to subpixel accuracies for Earth science research and applications (Townshend et al., 1992; Roy, 2000). This chapter discusses the approach to obtaining and maintaining this accuracy through the use of finer-resolution Landsat Thematic Mapper (TM) and Enhanced TM+ (ETM+) GCPs.

Type
Chapter
Information
Image Registration for Remote Sensing , pp. 437 - 455
Publisher: Cambridge University Press
Print publication year: 2011

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References

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