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Remote Sens. 2012, 4(8), 2277-2293; doi:10.3390/rs4082277

Advanced Spaceborne Thermal Emission and Reflection Radometer (ASTER) Enhanced Vegetation Index (EVI) Products from Global Earth Observation (GEO) Grid: An Assessment Using Moderate Resolution Imaging Spectroradiometer (MODIS) for Synergistic Applications

1
Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, 1-1-1-C7, Higashi, Tsukuba 305-8567, Japan
2
Department of Natural Resources and Environmental Management, University of Hawaii at Manoa,1910 East-West Road, Sherman 101, Honolulu, HI 96822, USA
*
Author to whom correspondence should be addressed.
Received: 10 June 2012 / Revised: 21 June 2012 / Accepted: 23 July 2012 / Published: 3 August 2012
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Abstract

We assessed the compatibility of three Advanced Spaceborne Thermal Emission and Reflection Radometer (ASTER) based Enhanced Vegetation Index (EVI) products generated in the GEO Grid system to Moderate Resolution Imaging Spectroradiometer (MODIS) EVI. The three products were two forms of the two-band EVI with ASTER red and NIR bands but without a blue band and the original, three-band EVI computed with ASTER red and NIR, and MODIS blue reflectances. Our assessment results showed good compatibilities of all the three ASTER EVI products with MODIS EVI, suggesting potential for synergistic applications of multi-resolution EVI. View Full-Text
Keywords: ASTER; Enhanced Vegetation Index; 2-band Enhanced Vegetation Index; GEO Grid; multi-resolution remote sensing; MODIS ASTER; Enhanced Vegetation Index; 2-band Enhanced Vegetation Index; GEO Grid; multi-resolution remote sensing; MODIS
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Yamamoto, H.; Miura, T.; Tsuchida, S. Advanced Spaceborne Thermal Emission and Reflection Radometer (ASTER) Enhanced Vegetation Index (EVI) Products from Global Earth Observation (GEO) Grid: An Assessment Using Moderate Resolution Imaging Spectroradiometer (MODIS) for Synergistic Applications. Remote Sens. 2012, 4, 2277-2293.

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