Foliage Clumping Index Over China's Landmass Retrieved From the MODIS BRDF Parameters Product

The three-dimentional plant canopy architecture is often characterized using the foliage clumping index useful for ecological and land surface modeling. In this paper, an algorithm is developed to retrieve the foliage clumping index with the Moderate Resolution Imaging Spectroradiometer bidirectional reflectance distribution function (BRDF) parameter product (MCD43A1), which is generated using the RossThick-LiSparse Reciprocal (Ross-Li) model. First, the Ross-Li model is modified to improve the simulation of the reflectance at hotspot using the Polarization and Directionality of Earth Reflectance measurements as benchmarks to determine BRDF parameters. Then, the modified model (Ross-Li-H) is used to simulate the reflectance at hotspot and darkspot, which is used to calculate the normalized difference between hotspot and darkspot (NDHD). With the relationship between clumping index and NDHD simulated by the 4-Scale geometrical model, the clumping index over China's landmass at 500-m resolution is retrieved every 8 days during the period from 2003 to 2008. Finally, The effect of topography on the retrieved clumping index is corrected using a topographic compensation function calculated from the digital elevation model at 90-m resolution. The topographically corrected clumping index values correlate well with field measurements at five sites over China, indicating the feasibility of the algorithm for retrieving the clumping index from the MCD43A1 product.

[1]  S. Sandmeier,et al.  Structure Analysis and Classification of Boreal Forests Using Airborne Hyperspectral Brdf Data from Asas Imagery and Processing Techniques Have Also Been Used Potential for Combining Both High Spectral Resolution And , 2022 .

[2]  Ronggao Liu,et al.  Application of a new leaf area index algorithm to China's landmass using MODIS data for carbon cycle research. , 2007, Journal of environmental management.

[3]  A. Gonsamo,et al.  The computation of foliage clumping index using hemispherical photography , 2009 .

[4]  J. Chen.  Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands , 1996 .

[5]  Jing M. Chen,et al.  Mapping evapotranspiration based on remote sensing: An application to Canada's landmass , 2003 .

[6]  Sylvie Duthoit,et al.  Assessing the effects of the clumping phenomenon on BRDF of a maize crop based on 3D numerical scenes using DART model , 2008 .

[7]  Qiang Liu,et al.  Inversion of a Radiative Transfer Model for Estimating Forest LAI From Multisource and Multiangular Optical Remote Sensing Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Nadine Gobron,et al.  Uniqueness of multiangular measurements. I. An indicator of subpixel surface heterogeneity from MISR , 2002, IEEE Trans. Geosci. Remote. Sens..

[9]  J. Chen,et al.  Global mapping of foliage clumping index using multi-angular satellite data , 2005 .

[10]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[11]  R. Lacaze,et al.  Global mapping of vegetation parameters from POLDER multiangular measurements for studies of surface-atmosphere interactions: A pragmatic method and its validation , 2002 .

[12]  Dennis D. Baldocchi,et al.  Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales , 2001 .

[13]  John M. Norman,et al.  Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach. , 1999, Tree physiology.

[14]  Hideki Kobayashi,et al.  On the correct estimation of effective leaf area index: does it reveal information on clumping effects? , 2010 .

[15]  Peng Gong,et al.  Modeling radiation and photosynthesis of a heterogeneous savanna woodland landscape with a hierarchy of model complexities , 2007 .

[16]  Alan H. Strahler,et al.  Topographic effects on bidirectional and hemispherical reflectances calculated with a geometric-optical canopy model , 1994, IEEE Trans. Geosci. Remote. Sens..

[17]  F. Maignan,et al.  Bidirectional reflectance of Earth targets: evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot , 2004 .

[18]  Hideki Kobayashi,et al.  How to quantify tree leaf area index in an open savanna ecosystem: A multi-instrument and multi-model approach , 2010 .

[19]  M. Leroy,et al.  An accuracy assessment experiment of the BRDF measured at coarse spatial resolution from space , 2000 .

[20]  D. Diner,et al.  Uniqueness of Multiangular Measurements—Part I: An Indicator of Subpixel Surface , 2002 .

[21]  Tiit Nilson,et al.  Inversion of gap frequency data in forest stands , 1999 .

[22]  S. T. Gower,et al.  Characterizing canopy nonrandomness with a multiband vegetation imager (MVI) , 1997 .

[23]  S. T. Gower,et al.  Leaf area index of boreal forests: theory, techniques, and measurements , 1997 .

[24]  C. Woodcock,et al.  Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland , 2004 .

[25]  Oliver Sonnentag,et al.  Leaf area index measurements at Fluxnet-Canada forest sites , 2006 .

[26]  R. Lacaze,et al.  Canada-wide foliage clumping index mapping from multiangular POLDER measurements , 2005 .

[27]  John R. Miller,et al.  Mapping Forest Background Reflectance in a Boreal Region Using Multiangle Compact Airborne Spectrographic Imager Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[28]  J. Roujean,et al.  A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .

[29]  R. Fernandes,et al.  An assessment of needles clumping within shoots when modeling radiative transfer within homogeneous canopies , 2006 .

[30]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .

[31]  Roselyne Lacaze,et al.  Retrieval of vegetation clumping index using hot spot signatures measured by POLDER instrument , 2002 .

[32]  J. Cihlar,et al.  Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. , 1995, Applied optics.

[33]  Gareth Roberts,et al.  Vegetation structure characteristics and relationships of Kalahari woodlands and savannas , 2004 .

[34]  J. Chen,et al.  Measuring leaf area index of plant canopies with branch architecture , 1991 .

[35]  S. Sandmeier,et al.  Physical Mechanisms in Hyperspectral BRDF Data of Grass and Watercress , 1998 .

[36]  A. Strahler,et al.  On the derivation of kernels for kernel‐driven models of bidirectional reflectance , 1995 .

[37]  Annick Bricaud,et al.  The POLDER mission: instrument characteristics and scientific objectives , 1994, IEEE Trans. Geosci. Remote. Sens..

[38]  R. Lacaze,et al.  Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation , 2010 .

[39]  N. Kiang,et al.  A clumped-foliage canopy radiative transfer model for a global dynamic terrestrial ecosystem model. I: Theory , 2010 .

[40]  F. Baret,et al.  LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products , 2007 .

[41]  K. Wilson,et al.  How the environment, canopy structure and canopy physiological functioning influence carbon, water and energy fluxes of a temperate broad-leaved deciduous forest--an assessment with the biophysical model CANOAK. , 2002, Tree physiology.

[42]  F. Gao,et al.  Detecting vegetation structure using a kernel-based BRDF model , 2003 .

[43]  R. Lacaze,et al.  Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption , 2003 .

[44]  S. T. Gower,et al.  Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .

[45]  Gérard Dedieu,et al.  Estimation of leaf area and clumping indexes of crops with hemispherical photographs , 2008 .

[46]  T. Nilson.  A theoretical analysis of the frequency of gaps in plant stands , 1971 .

[47]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[48]  John R. Miller,et al.  Improving Clumping and LAI Algorithms Based on Multiangle Airborne Imagery and Ground Measurements , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[49]  M. Leroy,et al.  Surface bidirectional reflectance distribution function observed at global scale by POLDER/ADEOS , 1998 .

[50]  Frédéric Baret,et al.  Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[51]  Sylvain G. Leblanc,et al.  A four-scale bidirectional reflectance model based on canopy architecture , 1997, IEEE Trans. Geosci. Remote. Sens..

[52]  Hiroshi Matsuyama,et al.  Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures , 2010 .

[53]  J. Chen,et al.  A hotspot function in a simple bidirectional reflectance model for satellite applications , 1997 .

[54]  Agustín Rubio,et al.  Leaf area index estimation in mountain even-aged Pinus silvestris L. stands from hemispherical photographs , 2007 .

[55]  Fabienne Maignan,et al.  Analysis of hot spot directional signatures measured from space , 2002 .

[56]  C. Schaaf,et al.  Relationship of MISR RPV parameters and MODIS BRDF shape indicators to surface vegetation patterns in an Australian tropical savanna , 2008 .