Edge effects on tree height retrieval using X-band interferometry

This letter investigates the edge effects on the tree height retrieval over coniferous plantations using X-band interferometry. A coherent version of the water cloud model is used to evaluate the influence of observation conditions such as incidence angle, tree height, and slope, each of which affects the extent of areas affected by edge effects. Results from the model simulation are discussed in the context of actual X-band data over pine plantations. A generic expression to indicate the extent of edge effects is described

[1]  Uwe Soergel,et al.  Potential and limits of InSAR data for the reconstruction of buildings , 2001, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).

[2]  Lars M. H. Ulander,et al.  C-band repeat-pass interferometric SAR observations of the forest , 1997, IEEE Trans. Geosci. Remote. Sens..

[3]  Iain H. Woodhouse,et al.  The impact of forest heterogeneity on the height retrieval using X-band interferometry , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[4]  M. A. Karam,et al.  Electromagnetic scattering from a layer of finite length, randomly oriented, dielectric, circular cylinders over a rough interface with application to vegetation , 1988 .

[5]  A. Lopes,et al.  Microwave propagation at X band in cylindrical-shaped forest components: attenuation observations , 1990 .

[6]  Guoqing Sun,et al.  A three-dimensional radar backscatter model of forest canopies , 1995 .

[7]  A. Lopes,et al.  Microwave coherent propagation in cylindrical-shaped forest components: interpretation of attenuation observations , 1990 .

[8]  Intermap INTERMAP Product Handbook and Quick Start Guide , 2004 .

[9]  Kamal Sarabandi,et al.  An empirical model and an inversion technique for radar scattering from bare soil surfaces , 1992, IEEE Trans. Geosci. Remote. Sens..

[10]  T. Dawson,et al.  Quantifying forest above ground carbon content using LiDAR remote sensing , 2004 .

[11]  Chris Varekamp,et al.  High-resolution InSAR image simulation for forest canopies , 2002, IEEE Trans. Geosci. Remote. Sens..

[12]  Kamal Sarabandi,et al.  Estimation of red pine tree height using Shuttle Radar Topography Mission and ancillary data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[13]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[14]  Lars M. H. Ulander,et al.  Repeat-pass SAR interferometry over forested terrain , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Ghislain Picard,et al.  A three-dimensional radiative transfer model to interpret ranging scatterometer measurements from a pine forest , 2004 .