%0 Journal Article
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%@resumeid 8JMKD3MGP5W/3C9JH4G
%X The leaf area index (LAI) of fast-growing Eucalyptus plantations is highly dynamic both seasonally and interannually, and is spatially variable depending on pedo-climatic conditions. LAI is very important in determining the carbon and water balance of a stand, but is difficult to measure during a complete stand rotation and at large scales. Remote-sensing methods allowing the retrieval of LAI time series with accuracy and precision are therefore necessary. Here, we tested two methods for LAI estimation from MODIS 250m resolution red and near-infrared (NIR) reflectance time series. The first method involved the inversion of a coupled model of leaf reflectance and transmittance (PROSPECT4), soil reflectance (SOILSPECT) and canopy radiative transfer (4SAIL2). Model parameters other than the LAI were either fixed to measured constant values, or allowed to vary seasonally and/or with stand age according to trends observed in field measurements. The LAI was assumed to vary throughout the rotation following a series of alternately increasing and decreasing sigmoid curves. The parameters of each sigmoid curve that allowed the best fit of simulated canopy reflectance to MODIS red and NIR reflectance data were obtained by minimization techniques. The second method was based on a linear relationship between the LAI and values of the GEneralized Soil Adjusted Vegetation Index (GESAVI), which was calibrated using destructive LAI measurements made at two seasons, on Eucalyptus stands of different ages and productivity levels. The ability of each approach to reproduce field-measured LAI values was assessed, and uncertainty on results and parameter sensitivities were examined. Both methods offered a good fit between measured and estimated LAI (R(2) = 0.80 and R(2) = 0.62 for model inversion and GESAVI-based methods, respectively), but the GESAVI-based method overestimated the LAI at young ages.
%@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
%8 Feb.
%N 2
%T Leaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations
%@secondarytype PRE PI
%K Leaf area index, Remote sensing, MOD13Q1, Radiative transfer model, PROSAIL, GESAVI, Eucalypt, CBERS , OPTICAL-PROPERTIES, VEGETATION INDEX, BIDIRECTIONAL REFLECTANCE, USE EFFICIENCY, CANOPY, IMAGERY, FOREST, CHLOROPHYLL, RESOLUTION, GLOBULUS.
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%@group DSR-OBT-INPE-MCT-BR
%3 galvao.pdf
%@secondarykey INPE--PRE/
%@issn 0034-4257
%2 sid.inpe.br/mtc-m19/2011/07.25.13.17.16
%@affiliation CIRAD, UPR 80, Sc UMR Eco&Sols, Persyst, F-34060 Montpellier 01, France
%@affiliation CIRAD, UMR TETIS, F-34093 Montpellier 5, France
%@affiliation Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation CIRAD, UMR TETIS, F-34093 Montpellier 5, France
%@affiliation CIRAD, UMR TETIS, F-34093 Montpellier 5, France
%@affiliation N Carolina State Univ, Dept Forestry & Environm Sci, Raleigh, NC 27695 USA
%@affiliation Univ Sao Paulo, IAG, Dept Ciencias Atmosfer, BR-05508 Sao Paulo, Brazil
%@project European Integrated Project Ultra Low CO2 Steelmaking (ULCOS)  515960
%B Remote Sensing of Environment
%@versiontype publisher
%P 586-599
%4 sid.inpe.br/mtc-m19/2011/07.25.13.17
%@documentstage not transferred
%D 2011
%V 115
%@doi 10.1016/j.rse.2010.10.004
%A le Maire, Guerric,
%A Marsden, Claire,
%A Verhoef, Wouter,
%A Ponzoni, Flavio Jorge,
%A Lo Seen, Danny,
%A Begue, Agnes,
%A Stape, Jose-Luiz,
%A Nouvellon, Yann,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area SRE