MODIS leaf area index products: From validation to algorithm improvement

被引:276
作者
Yang, Wenze [1 ]
Tan, Bin
Huang, Dong
Rautiainen, Miina
Shabanov, Nikolay V.
Wang, Y.
Privette, Jeffrey L.
Huemmrich, Karl Fred
Fensholt, Rasmus
Sandholt, Inge
Weiss, M.
Ahl, Douglas E.
Gower, Stith T.
Nemani, Ramakrishna R.
Knyazikhin, Yuri
Myneni, Ranga B.
机构
[1] Boston Univ, Dept Geog, Boston, MA 02215 USA
[2] Univ Helsinki, Dept Forest Ecol, FI-00014 Helsinki, Finland
[3] Univ Maryland Baltimore Cty, Goddard Earth Sci & Technol Ctr, Catonsville, MD 20771 USA
[4] NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
[5] Univ Copenhagen, Inst Geog, DK-1350 Copenhagen, Denmark
[6] INRA, CSE, NOVELTIS, F-84014 Avignon, France
[7] Univ Wisconsin, Dept Forest Ecol & Management, Madison, WI 53706 USA
[8] NASA, Ames Res Ctr, Ecosyst Sci & Technol Branch, Moffett Field, CA 94035 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2006年 / 44卷 / 07期
基金
美国国家航空航天局;
关键词
Fraction of Photosynthetically Active Radiation (FPAR) absorbed by vegetation; Leaf Area Index (LAI); Moderate Resolution Imaging Spectroradiometer (MODIS); validation;
D O I
10.1109/TGRS.2006.871215
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Global products of vegetation green Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are being operationally produced from Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) at 1-km resolution and eight-day frequency. This paper summarizes the experience of several collaborating investigators on validation of MODIS LAI products and demonstrates the close connection between product validation and algorithm refinement activities. The validation of moderate resolution LAI products includes three steps: 1) field sampling representative of LAI spatial distribution and dynamic range within each major land cover type at the validation site; 2) development of a transfer function between field LAI measurements and high resolution satellite data to generate a reference LAI map over an extended area; and 3) comparison of MODIS LAI with aggregated reference LAI map at patch (multipixel) scale in view of geo-location and pixel shift uncertainties. The MODIS LAI validation experiences, summarized here, suggest three key factors that influence the accuracy of LAI retrievals: 1) uncertainties in input land cover data, 2) uncertainties in input surface reflectances, and 3) uncertainties from the model used to build the look-up tables accompanying the algorithm. This strategy of validation efforts guiding algorithm refinements has led to progressively more accurate LAI products from the MODIS sensors aboard NASA's Terra and Aqua platforms.
引用
收藏
页码:1885 / 1898
页数:14
相关论文
共 29 条
[1]  
AHL DE, IN PRESS REMOTE SENS
[2]  
BARET F, IN PRESS REMOTE SENS
[3]  
BARET F, 2005, INRA AVIGNON FRANCE
[4]  
Brown WW, 2000, ADV RENAL REPLACE TH, V7, P1
[5]   Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements [J].
Chen, JM ;
Pavlic, G ;
Brown, L ;
Cihlar, J ;
Leblanc, SG ;
White, HP ;
Hall, RJ ;
Peddle, DR ;
King, DJ ;
Trofymow, JA ;
Swift, E ;
Van der Sanden, J ;
Pellikka, PKE .
REMOTE SENSING OF ENVIRONMENT, 2002, 80 (01) :165-184
[6]   Leaf area index of boreal forests: Theory, techniques, and measurements [J].
Chen, JM ;
Rich, PM ;
Gower, ST ;
Norman, JM ;
Plummer, S .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D24) :29429-29443
[7]   Comparisons of land cover and LAI estimates derived from ETM plus and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products [J].
Cohen, WB ;
Maiersperger, TK ;
Yang, ZQ ;
Gower, ST ;
Turner, DP ;
Ritts, WD ;
Berterretche, M ;
Running, SW .
REMOTE SENSING OF ENVIRONMENT, 2003, 88 (03) :233-255
[8]   Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements [J].
Fensholt, R ;
Sandholt, I ;
Rasmussen, MS .
REMOTE SENSING OF ENVIRONMENT, 2004, 91 (3-4) :490-507
[9]   INVERSION OF VEGETATION CANOPY REFLECTANCE MODELS FOR ESTIMATING AGRONOMIC VARIABLES .2. USE OF ANGLE TRANSFORMS AND ERROR ANALYSIS AS ILLUSTRATED BY SUITS MODEL [J].
GOEL, NS ;
STREBEL, DE ;
THOMPSON, RL .
REMOTE SENSING OF ENVIRONMENT, 1984, 14 (1-3) :77-111
[10]  
HUANG D, IN PRESS J GEOPHYS R