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Remote Sens. 2015, 7(12), 16226-16240; doi:10.3390/rs71215825

Application-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation Condition

1
Earth Resources Observation and Science (EROS) Center, U.S. Geological Survey (USGS), 47914 252nd St., Sioux Falls, SD 57198, USA
2
Stinger Ghaffarian Technologies, Contractor to USGS EROS, 47914 252nd St., Sioux Falls, SD 57198, USA
3
Arctic Slope Regional Corporation Federal-InuTeq, Contractor to USGS EROS, 47914 252nd St., Sioux Falls, SD 57198, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Jose Moreno, Parth Sarathi Roy and Prasad S. Thenkabail
Received: 20 August 2015 / Revised: 13 November 2015 / Accepted: 17 November 2015 / Published: 3 December 2015
View Full-Text   |   Download PDF [4318 KB, uploaded 3 December 2015]   |  

Abstract

Monitoring systems benefit from high temporal frequency image data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) system. Because of near-daily global coverage, MODIS data are beneficial to applications that require timely information about vegetation condition related to drought, flooding, or fire danger. Rapid satellite data streams in operational applications have clear benefits for monitoring vegetation, especially when information can be delivered as fast as changing surface conditions. An “expedited” processing system called “eMODIS” operated by the U.S. Geological Survey provides rapid MODIS surface reflectance data to operational applications in less than 24 h offering tailored, consistently-processed information products that complement standard MODIS products. We assessed eMODIS quality and consistency by comparing to standard MODIS data. Only land data with known high quality were analyzed in a central U.S. study area. When compared to standard MODIS (MOD/MYD09Q1), the eMODIS Normalized Difference Vegetation Index (NDVI) maintained a strong, significant relationship to standard MODIS NDVI, whether from morning (Terra) or afternoon (Aqua) orbits. The Aqua eMODIS data were more prone to noise than the Terra data, likely due to differences in the internal cloud mask used in MOD/MYD09Q1 or compositing rules. Post-processing temporal smoothing decreased noise in eMODIS data. View Full-Text
Keywords: Moderate Resolution Imaging Spectroradiometer; MODIS; monitoring; hazard; rapid; satellite; remote sensing; Terra; Aqua; Normalized difference vegetation index; NDVI Moderate Resolution Imaging Spectroradiometer; MODIS; monitoring; hazard; rapid; satellite; remote sensing; Terra; Aqua; Normalized difference vegetation index; NDVI
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Brown, J.F.; Howard, D.; Wylie, B.; Frieze, A.; Ji, L.; Gacke, C. Application-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation Condition. Remote Sens. 2015, 7, 16226-16240.

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