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

Remote Sensing

Jesslyn F. Brown¹  Daniel Howard⁴  Bruce Wylie¹  Aaron Frieze⁴  Lei Ji²  Carolyn Gacke⁴  Jose Moreno³  Parth Sarathi Roy³ 

[1] Earth Resources Observation and Science (EROS) Center, U.S. Geological Survey (USGS), 47914 252nd St., Sioux Falls, SD 57198, USA;Arctic Slope Regional Corporation Federal-InuTeq, Contractor to USGS EROS, 47914 252nd St., Sioux Falls, SD 57198, USA;;Earth Resources Observation and Science (EROS) Center, U.S. Geological Survey (USGS), 47914 252nd St., Sioux Falls, SD 57198, USAStinger Ghaffarian Technologies, Contractor to USGS EROS, 47914 252nd St., Sioux Falls, SD 57198, USA;

关键词: Moderate Resolution Imaging Spectroradiometer;    MODIS;    monitoring;    hazard;    rapid;    satellite;    remote sensing;    Terra;    Aqua;    Normalized difference vegetation index;    NDVI;   

DOI  :  10.3390/rs71215825

来源: mdpi

【 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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.