Pine forest investigation using high resolution P-band Pol-InSAR data (original) (raw)
Related papers
Forest height estimation using P-band Pol-InSAR data
Proc. Polinsar 2007, 2007
A P-band Pol-InSAR dataset acquired over a maritime pine forest is evaluated for forest height estimation. First, a time-frequency inversion methodology is presented. Good results have been obtained (2 m RMS error over 27 stands). However, since the method is adapted to airborne SAR data, we further investigate methods that could be used to invert spaceborne SAR data. Possible adaptations of the RVoG model to P band are studied through two key effects: the effect of ground decorrelation and the effect of vertically variable extinction within the canopy. The results show that the ground decorrelation may be negligible if the decorrelation is small, whereas the effect of the vertical distribution of the extinction is important and needs to be taken into account.
Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data
IEEE Transactions on Geoscience and Remote Sensing, 2008
A sparse pine forest is investigated at X-band on a single-pass polarimetric synthetic aperture radar interferometry (PolInSAR) data set using HH and HV channels. These first preliminary results show that the associated phase centers present a significant vertical separation (about 6 m) allowed by penetration through gaps in the canopy. Forest parameter inversion using the random volume over ground (RVoG) model is evaluated and adapted at this frequency. The forest height can be retrieved accurately by supposing a high mean extinction coefficient (around 1.6 dB/m). The penetration depth is estimated to be around 4 m, based on the forest height ground measurements. Finally, a time-frequency analysis using a sublook decomposition is performed to increase the vertical separation of the polarimetric phase centers. As a consequence, RVoG-inversion performance is improved, and a penetration depth that is in better accordance with a previous work (of the order of 2 m) is found. This paper has shown that the height inversion of a pine forest was possible using PolInSAR X-band data and that the performance was more dependent on the forest density than at lower frequencies.
IEEE Transactions on Geoscience and Remote Sensing, 2000
The vertical backscatter profile of a pine forest constituted by stands of different height is inverted from a single baseline P-band Pol-InSAR data in order to identify scatterers in the canopy. The proposed approach uses the Gaussian vertical backscatter profile model, which associates an interferometric coherence expression to a vertical scatterers' distribution characterized by relative standard deviation and elevation. The methodology, which uses in situ measurements of forest height and unbiased ground level estimation, is applied to HV and VV channels, providing accuracy given sufficiently low ground-tocanopy power ratios. Inverted backscatter profiles show maximum power converging toward the basis of the tree crown on highest forests, where the largest branches are located, indicating the high sensitivity of P-band measurements to the forest structure and to the vertical biomass distribution. Over lower stands with larger tree densities, the power peak is located in the upper part of the canopy, which can be explained by a stronger attenuation in the canopy.
2009
Many applications require bare-earth Digital Terrain Models (DTMs) in the presence of forest canopy. L-Band is an attractive candidate, but the derived interferometric phase represents a combination of ground and volume scattering contributions from the canopy above. The use of PolInSAR techniques, and the Random Volume Over Ground (RVOG) Model has had considerable success in model inversion studies where the objective has been to extract tree height. A major problem for the robust application of this technique is the presence of temporal decorrelation, caused by the use of repeat-pass interferometry. In this paper we will present the current results of canopy height and DTM estimation in forested areas using an experimental airborne, single-pass, L-Band PolInSAR system for which temporal decorrelation is not an issue.
Forest Height Estimation by means of Pol-InSAR Limitations posed by Temporal Decorrelation
2009
Polarimetric Synthetic Aperture Radar (SAR) Interferometry (Pol-InSAR) is a radar remote sensing technique, based on the coherent combination of radar polarimetry (Pol-SAR) and SAR interferometry (InSAR) which is substantially more sensitive to structural parameters of forest volume scatterers (e.g. forest) than conventional interferometry or polarimetry alone. However, temporal decorrelation is probably the most critical factor towards a successful implementation of Pol-InSAR parameter inversion techniques in terms of repeat-pass InSAR scenarios. This report focuses on the quantification of the effect of temporal decorrelation at L-band as a function of temporal baseline based on multi-temporal airborne experimental data acquired in the frame of dedicated air-borne experiments. Conclusions on the suitability of ALOS/PalSAR for Pol-InSAR applications are drawn and recommendations for mission characteristics of a potential follow on mission are addressed.
Frequency effects in Pol-InSAR forest height estimation
2006
Forest height has been related and inverted from interferometric measurements at different baselines, polarisations, frequencies. In this paper the effect of frequency on model based inversion of forest height from interferometric measurements is addressed and obtained experimental results at X, L and P Band are discussed.
Multi-baseline Pol-InSAR Forest Height Estimation in the presence of temporal decorrelation
2010
This paper addresses the effect of temporal decorrelation on the inversion of forest parameters using Pol-InSAR techniques. The modeling of temporal decorrelation and the inversion of single-baseline Pol-InSAR data in the presence of temporal decorrelation is discussed. Model based simulations and experimental multi-temporal fully polarimetric and repeat pass interferometric data from the SIR-C Space shuttle mission are used for the performance analysis of the proposed approach.
Multi-baseline Pol-InSAR Forest Height Estimation in the presence of temporal decorrleation
2010
This paper addresses the effect of temporal decorrelation on the inversion of forest parameters using Pol-InSAR techniques. The modeling of temporal decorrelation and the inversion of single-baseline Pol-InSAR data in the presence of temporal decorrelation is discussed. Model based simulations and experimental multi-temporal fully polarimetric and repeat pass interferometric data from the SIR-C Space shuttle mission are used for the performance analysis of the proposed approach.
Forest Height Estimation in Tropical forests using Pol-InSAR Techniques
2006
Tropical rain forest environments are highly complex and heterogeneous in terms of species composition and structure and is often difficult to access. Radar remote sensing is for large tropical regions the only available information source for monitoring. Pol-InSAR is a novel developed radar remote sensing technique sensible to the vertical structure of forest that allows the estimation and mapping of forest height. In this paper we demonstrate forest height inversion at two frequencies -L Band and P Band -by means of Pol-InSAR using INDREX-II data and addresses the problem of temporal decorrelation