Validation of MODIS and CYCLOPES LAI products using global field measurement data

被引:179
|
作者
Fang, Hongliang [1 ]
Wei, Shanshan [1 ,2 ]
Liang, Shunlin [3 ,4 ,5 ]
机构
[1] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] NE Normal Univ, Dept Geog, Sch Urban & Environm Sci, Changchun 130024, Jilin Province, Peoples R China
[3] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[4] Beijing Normal Univ, Coll Global Change, Beijing 100875, Peoples R China
[5] Beijing Normal Univ, Earth Syst Sci, Beijing 100875, Peoples R China
关键词
Leaf Area Index (LAI); MODIS; CYCLOPES; SPOT/VEGETATION; Validation; Uncertainty; LEAF-AREA INDEX; PHOTOSYNTHETICALLY ACTIVE RADIATION; BOREAL ASPEN FOREST; IN-SITU; HEMISPHERICAL PHOTOGRAPHY; SATELLITE DATA; ABSORBED PAR; MISR DATA; VEGETATION; CANOPY;
D O I
10.1016/j.rse.2011.12.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objective of this paper is to quantitatively validate the global MODIS and CYCLOPES leaf area index (LAI) products using a global LAI field measurement database created on the basis of a literature review and major validation campaigns. The MODIS LAI product suite, containing the Terra Collection 4 (C4), Terra Collection 5 (C5) and Terra + Aqua combined C5, was analyzed, with considerable attention paid to the quality control (QC) information. The CYCLOPES V3.1 LAI product was similarly analyzed with regard to the status map (SM) layer. In general, the MODIS LAI has improved consistently over all releases. MODIS C5 data retrieved with the main algorithm (QC<64) and CYCLOPES data showed a similar range of uncertainties (1.0-1.2). Uncertainties for the best MODIS C5 (QC= 0) and CYCLOPES (SM =0) estimates were around 0.9-1.1. The overall mean differences between the best MODIS C5 and CYCLOPES were within +/- 0.10. The highest correspondence was obtained for woody biomes from the best MCD15 C5 data (RMSE = 0.80). Results indicate that the uncertainties in current LA! products (around +/- 1.0) are still unable to meet the accuracy requirement of GCOS (+/- 0.5). Although there are limitations, we recommend MODIS C5 retrieved with the main algorithm (QC<64) and CYCLOPES for the user community. This study demonstrates the necessity of exploring uncertainties related to the true and effective LA's separately, and reveals the importance of referring to the quality assessment information. More field measurements are required for further studies, which should focus on under-sampled biome types and areas. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:43 / 54
页数:12
相关论文
共 50 条
  • [1] INTERCOMPARISON AND UNCERTAINTY ANALYSIS OF GLOBAL MODIS, CYCLOPES, AND GLOBCARBON LAI PRODUCTS
    Fang, Hongliang
    Wei, Shanshan
    Jiang, Chongya
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5959 - 5962
  • [2] Improving LAI Mapping by Integrating MODIS and CYCLOPES LAI Products Using Optimal Interpolation
    Wang, Dongdong
    Liang, Shunlin
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (02) : 445 - 457
  • [3] Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method
    Fang, Hongliang
    Wei, Shanshan
    Jiang, Chongya
    Scipal, Klaus
    REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 610 - 621
  • [4] VALIDATION OF MODIS GLOBAL LAI PRODUCTS IN FORESTED TERRAIN
    Jin, Huaan
    Li, Ainong
    Bian, Jinhu
    Lei, Guangbin
    Tan, Jianbo
    Xia, Haoming
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [5] LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products
    Weiss, Marie
    Baret, Frederic
    Garrigues, Sebastien
    Lacaze, Roselyne
    REMOTE SENSING OF ENVIRONMENT, 2007, 110 (03) : 317 - 331
  • [6] EVALUATION OF MODIS, POLDER AND CYCLOPES GLOBAL FPAR PRODUCTS
    Liu, Rongyuan
    Ren, Huazhong
    Liu, Suhong
    Liu, Qiang
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 5068 - 5071
  • [7] Performances of neural networks for deriving LAI estimates from existing CYCLOPES and MODIS products
    Verger, A.
    Baret, F.
    Weiss, M.
    REMOTE SENSING OF ENVIRONMENT, 2008, 112 (06) : 2789 - 2803
  • [8] In situ estimates of forest LAI for MODIS data validation
    Iiames, JS
    Pilant, AN
    Lewis, TE
    REMOTE SENSING AND GIS ACCURACY ASSESSMENT, 2004, : 41 - 57
  • [9] VALIDATION OF MODIS LAI PRODUCT USING UPSCALING SENTINEL-2 DECAMETER-SCALE LAI AND FIELD MEASURED LAI
    Chen, Juncheng
    Chen, Yunping
    Liu, Zhen
    Sun, Yuan
    Huang, Fang
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 5119 - 5122
  • [10] Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America
    Pisek, Jan
    Chen, Jing M.
    REMOTE SENSING OF ENVIRONMENT, 2007, 109 (01) : 81 - 94