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

被引:38
|
作者
Brown, Jesslyn F. [1 ]
Howard, Daniel [2 ]
Wylie, Bruce [1 ]
Frieze, Aaron [2 ]
Ji, Lei [3 ]
Gacke, Carolyn [2 ]
机构
[1] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA
[2] USGS EROS, Stinger Ghaffarian Technol, Sioux Falls, SD 57198 USA
[3] USGS EROS, Arctic Slope Reg Corp Fed InuTeq, Sioux Falls, SD 57198 USA
来源
REMOTE SENSING | 2015年 / 7卷 / 12期
关键词
Moderate Resolution Imaging Spectroradiometer; MODIS; monitoring; hazard; rapid; satellite; remote sensing; Terra; Aqua; Normalized difference vegetation index; NDVI; TIME-SERIES; UNITED-STATES; PRODUCTS; INFORMATION; SYSTEMS; IMPACT; FOREST; COVER;
D O I
10.3390/rs71215825
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:16226 / 16240
页数:15
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