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
相关论文
共 50 条
  • [31] Methodology for classification of land use and vegetation cover using MODIS-EVI data
    Mengue, Vagner P.
    Fontana, Denise C.
    da Silva, Tatiana S.
    Zanotta, Daniel
    Scotta, Fernando C.
    REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL, 2019, 23 (11): : 812 - 818
  • [32] Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration
    Venter, Zander S.
    Scott, Samantha Luise
    Desmet, Philip G.
    Hoffman, Michael Timm
    ECOLOGICAL INDICATORS, 2020, 113 (113)
  • [33] Application of Normalized Difference Water Index for Vegetation Water Content Monitoring from MODIS Data
    Ding, Yi
    Gong, Huili
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 2128 - 2132
  • [34] An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product From MODIS Data
    Zhang, Xiaotong
    Wang, Dongdong
    Liu, Qiang
    Yao, Yunjun
    Jia, Kun
    He, Tao
    Jiang, Bo
    Wei, Yu
    Ma, Han
    Zhao, Xiang
    Li, Wenhong
    Liang, Shunlin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (07): : 4636 - 4650
  • [35] Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data
    Xing, Zefeng
    Yu, Yanru
    Duan, Si-Bo
    Li, Zhao-Liang
    Gao, Maofang
    Leng, Pei
    Zhang, Xia
    Shang, Guofei
    IEEE ACCESS, 2020, 8 : 114541 - 114553
  • [36] Monitoring winter vegetation cover using multitemporal modis data
    Hubert-Moy, L
    Lecerf, R
    Corpetti, T
    Dubreuil, V
    IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 2113 - 2116
  • [37] Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa
    Fensholt, R.
    Anyamba, A.
    Huber, S.
    Proud, S. R.
    Tucker, C. J.
    Small, J.
    Pak, E.
    Rasmussen, M. O.
    Sandholt, I.
    Shisanya, C.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (05) : 721 - 729
  • [38] The simulation of land surface process with MODIS data in Haihe basin, China
    Gao, Zhiqiang
    Gao, Wei
    Cao Xiaoming
    Chen, Maosi
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY IX, 2012, 8513
  • [39] MODIS Land Surface Temperature as an index of surface air temperature for operational snowpack estimation
    Shamir, Eylon
    Georgakakos, Konstantine P.
    REMOTE SENSING OF ENVIRONMENT, 2014, 152 : 83 - 98
  • [40] Mapping temporal and spatial changes in land use and land surface temperature based on MODIS data
    Chen, Tzu-Ling
    ENVIRONMENTAL RESEARCH, 2021, 196