Using SIR-C SAR data and the AMAP model for forest attributes retrieval and 3-D stand simulation

Abstract Space-borne Synthetic Aperture Radar (SAR) data and the plant architectural model AMAP are new tools, currently under development and validation, for the retrieval and mapping of forest parameters through a Geographical Information System (GIS). On one hand, L-band SAR data are useful for the retrieval of some forest attributes such as age and woody volume. On the other hand, validated growth model of tree architecture allows retrieval of many forest parameters at tree level and simulation of virtual 3-D views both at the tree and stand levels. To this aim, a methodology is proposed using L-HV SIR-C SAR data or AMAP alone or their coupling through a GIS for forest attributes retrieval and 3-D stand simulation. This approach is illustrated on a simple forest ecosystem, an Austrian pine forest over hilly terrain in southern of France. Results show the potentialities and interests in using such tools when retrieval bole volume is limited to 300 m 3 /ha; AMAP allowed estimation according to tree (compartment) partitioning as a function of growth stage. The coupling approach gives realistic 3-D stand visualization when it is exercised with GIS data sets and error sources are pointed out toward future improvement and generalization.

[1]  P. Kramer,et al.  Physiology of trees. , 1961 .

[2]  Jean Dauzat Radiative transfer simulation on computer models of Elaeis guineensis , 1993 .

[3]  M. Dobson,et al.  The use of Imaging radars for ecological applications : A review , 1997 .

[4]  K. Ranson,et al.  An evaluation of AIRSAR and SIR-C/X-SAR images for mapping northern forest attributes in Maine, USA , 1997 .

[5]  Kamal Sarabandi,et al.  Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR , 1995, IEEE Trans. Geosci. Remote. Sens..

[6]  M. Adair,et al.  Analytic Formulation of Spaceborne SAR Image Geocoding and ``Value-Added'' Product Generation Procedures using Digital Elevation Data , 1992 .

[7]  Christophe Godin,et al.  Measuring and analysing plants with the AMAPmod software , 1997 .

[8]  Christophe Godin,et al.  Exploring plant topological structure with the AMAPmod software: an outline. , 1997 .

[9]  D. Evans,et al.  Review article Synthetic aperture radar (SAR) frequency and polarization requirements for applications in ecology, geology, hydrology, and oceanography: A tabular status quo after SIR-C/X-SAR , 1997 .

[10]  T. Le Toan,et al.  On the coupling of backscatter models with tree growth models. 1. A realistic description of the canopy using the AMAP tree growth model , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[11]  P. Tomlinson,et al.  Tropical Trees and Forests: An Architectural Analysis , 1978 .

[12]  Thierry Castel,et al.  Estimation de parametres de la ressource forestiere par teledetection radar a synthese d'ouverture : apport du couplage d'un modele architectural de plantes avec un modele de diffusion electromagnetique , 1998 .

[13]  Yves Caraglio,et al.  Essai sur l'identification et la mise en oeuvre des paramètres nécessaires à la simulation d'une architecture végétale. Le logiciel AMAPSIM , 1997 .

[14]  Shaun Quegan,et al.  Retrieval of Bio- and Geo-Physical Parameters from SAR Data for Land Applications. , 2002 .

[15]  F. Blaise,et al.  Modélisation et simulation de l'architecture des arbres : bilan et perspectives , 1995 .

[16]  Philippe De Reffye,et al.  Growth units construction in trees: A stochastic approach , 1991 .