Generating a Long-term Land Data Record from the AVHRR and MODIS instruments

被引:157
|
作者
Pedelty, Jeffrey [1 ]
Devadiga, Sadashiva [1 ]
Masuoka, Edward [1 ]
Brown, Molly [1 ]
Pinzon, Jorge [1 ]
Tucker, Compton [1 ]
Roy, David [2 ]
Ju, Junchang [2 ]
Vermote, Eric [3 ]
Prince, Stephen [3 ]
Nagol, Jyotheshwar [3 ]
Justice, Christopher [3 ]
Schaaf, Crystal [5 ]
Liu, Jicheng [5 ]
Privette, Jeffrey [4 ]
Pinheiro, Ana [4 ]
机构
[1] NASA, Goddard Space Flight Ctr, Lab Hydrospher & Biospher Sci, Greenbelt, MD USA
[2] S Dakota State Univ, Geog Informat Sci Ctr Excellen, Brookings, SD 57007 USA
[3] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[4] NOAA Natl Climat Data Ctr, Asheville, NC USA
[5] Boston Univ, Dept Geog, Boston, MA 02215 USA
关键词
component; remote sensing; AVHRR; MODIS; climate studies;
D O I
10.1109/IGARSS.2007.4422974
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The goal of NASA's Land Long Term Data Record (LTDR) project is to produce a consistent long term data set from the AVHRR and MODIS instruments for land climate studies. The project will create daily surface reflectance and normalized difference vegetation index (NDVI) products at a resolution of 0.05 degrees, which is identical to the Climate Modeling Grid (CMG) used for MODIS products from EOS Terra and Aqua. Higher order products such as burned area, land surface temperature, albedo, bidirectional reflectance distribution function (BRDF) correction, leaf area index (LAI), and fraction of photosynthetically active radiation absorbed by vegetation (fPAR), will be created. The LTDR project will reprocess Global Area Coverage (GAC) data from AVHRR sensors onboard NOAA satellites by applying the preprocessing improvements identified in the AVHRR Pathfinder II project and atmospheric and BRDF corrections used in MODIS processing. The preprocessing improvements include radiometric in-flight vicarious calibration for the visible and near infrared channels and inverse navigation to relate an Earth location to each sensor instantaneous field of view (IFOV). Atmospheric corrections for Rayleigh scattering, ozone, and water vapor are undertaken, with aerosol correction being implemented. The LTDR also produces a surface reflectance product for channel 3 (3.75 mu m). Quality assessment (QA) is an integral part of the LTDR production system, which is monitoring temporal trends in the AVHRR products using time-series approaches developed for MODIS land product quality assessment. The land surface reflectance products have been evaluated at AERONET sites. The AVHRR data record from LTDR is also being compared to products from the PAL (Pathfinder AVHRR Land) and GIMMS (Global Inventory Modeling and Mapping Studies) systems to assess the relative merits of this reprocessing vis-h-vis these existing data products. The LTDR products and associated information can be found at http://itdr.nascom.nasa.gov/ltdr/ ltdr.html.
引用
下载
收藏
页码:1021 / 1024
页数:4
相关论文
共 50 条
  • [1] Long-term record of top-of-atmosphere albedo over land generated from AVHRR data
    Song, Zhen
    Liang, Shunlin
    Wang, Dongdong
    Zhou, Yuan
    Jia, Aolin
    REMOTE SENSING OF ENVIRONMENT, 2018, 211 : 71 - 88
  • [2] Evaluation of the Surface Reflectance Long-Term Data Record from AVHRR over Multiple Land Surface Types
    Santamaria-Artigas, A.
    Franch, B.
    Roger, J. C.
    Vermote, E.
    Justice, C.
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 8830 - 8833
  • [3] Long-Term Global Land Surface Satellite (GLASS) Fractional Vegetation Cover Product Derived From MODIS and AVHRR Data
    Jia, Kun
    Yang, Linqing
    Liang, Shunlin
    Xiao, Zhiqiang
    Zhao, Xiang
    Yao, Yunjun
    Zhang, Xiaotong
    Jiang, Bo
    Liu, Duanyang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (02) : 508 - 518
  • [4] A LONG-TERM GLOBAL LEAF AREA INDEX DATASET (1981-2009) FROM AVHRR AND MODIS DATA
    Liu, Yang
    Liu, Ronggao
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 783 - 786
  • [5] Identification and correction of systematic error in NOAA AVHRR long-term satellite data record
    Latifovic, Rasim
    Pouliot, Darren
    Dillabaugh, Craig
    REMOTE SENSING OF ENVIRONMENT, 2012, 127 : 84 - 97
  • [6] Improving the AVHRR Long Term Data Record BRDF Correction
    Villaescusa-Nadal, Jose Luis
    Franch, Belen
    Vermote, Eric F.
    Roger, Jean-Claude
    REMOTE SENSING, 2019, 11 (05)
  • [7] Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data
    Liu, Xiangyang
    Tang, Bo-Hui
    Yan, Guangjian
    Li, Zhao-Liang
    Liang, Shunlin
    REMOTE SENSING, 2019, 11 (23)
  • [8] NASA's MODIS and VIIRS Land Surface Temperature and Emissivity Products: A Long-Term and Consistent Earth System Data Record
    Hulley, Glynn C.
    Malakar, Nabin K.
    Islam, Tanvir
    Freepartner, Robert J.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (02) : 522 - 535
  • [9] Accuracy, stability, and continuity of AVHRR, SeaWiFS, MODIS, and VIIRS deep blue long-term land aerosol retrieval in Asia
    Su, Xin
    Wei, Yifeng
    Wang, Lunche
    Zhang, Ming
    Jiang, Daoyang
    Feng, Lan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 832
  • [10] Using MODIS to estimate cloud contamination of the AVHRR data record
    Heidinger, AK
    Anne, VR
    Dean, C
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2002, 19 (05) : 586 - 601