Forest height estimation using P-band Pol-InSAR data (original) (raw)
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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.
Pine forest investigation using high resolution P-band Pol-InSAR data
Remote Sensing of Environment, 2011
In this paper, a high-resolution P-band Pol-InSAR 4 data set acquired by the airborne RAMSES system over pine forest 5 stands of different height is investigated. A significant penetration 6 depth in all the polarimetric channels and a wide range of polari-7 metric-phase-center heights are observed, attesting of an interac-8 tion of the radar waves with different forest structural elements. 9 The main objective of this paper concerns forest-height inversion 10 at P-band. First, forest-modeling assumptions are evaluated us-11 ing ap r i o r iinformation, such as ground-level and forest-height 12 measurements. The full extend of the forest height is shown to 13 be responsible of the volume decorrelation, and a significant ori-14 entation effect is clearly identified over the highest stands. As a 15 consequence, the Oriented Volume over Ground model (OVoG) 16 is determined to be the most appropriated model for the 17 forest-height inversion. At P-band, the ground contribution is Q1 18 present in all the polarimetric channels due to the important 19 penetration at this frequency. To overcome this difficulty, a 20 time-frequency optimization method based on sublook decom-21 position is developed to separate the pure ground and canopy 22
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.
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.
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
2018
Maintenance of a global forest inventory and regular monitoring of forests is necessary to assess the global carbon stock. Forests have versatile functionality for the mankind and the demands could be fulfilled only by judicious assessment of forest biophysical parameters. Forest height is a parameter essential for quantitative monitoring of forests. Remote sensing tools can efficiently monitor forests on a global scale. Many studies have attempted to use Synthetic Aperture Radar (SAR) remote sensing to estimate forest parameters. This research explores Polarimetric SAR Interferometry (PolInSAR), a technology well suited for forest height estimation. The focus of this work is the retrieval of tree heights in Barkot and Thano forests of India using multi-baseline X-band data while attempting to optimize the estimation performance by simulation of wavenumber. Coherence amplitude inversion and three-stage inversion are performed to estimate the tree heights. Previous studies have used datasets with baseline information suitable for height estimation. This research attempts to use datasets with inapt baseline information and imitates the ideal wavenumber condition. The wavenumber is calculated based on the prior knowledge of the maximum tree height in the region of study. The tree height estimates obtained from both inversions are validated against field data. The accuracy of tree height estimates increase from 24.91% to 88.28% when the ideal wavenumber is used. The minimum calculated RMSE is 1.46m for three-stage inversion and 1.96m for coherence amplitude inversion. The results suggest that using an optimal wavenumber can improve the tree height estimation process.
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.
INDREX-II - Tropical forest height estimation with L and P band polarimetric interferometric SAR
J Texture Stud, 2006
Tropical forests are complex, heterogeneous, dense, remote and changing forest ecosystems. Low frequency synthetic aperture Radar (SAR) techniques allow monitoring and potentially estimation of key forest parameters such as vertical structure (height) and biomass. In the frame of INDREX-II repeat-pass SAR data in quad-pol mode (at L, and P Band) SAR data were acquired and simultaneously ground measurements have been collected. One of the most important -for a wide range of applications -forest parameter is biomass. Biomass appears to be more or less directly related to forest height, which can be estimated from model based inversion of polarimetric and interferometric SAR (Pol-InSAR) data. Indeed, successful height inversion has been demonstrated in several airborne experiments over temperate and boreal forests. In this paper results of model-based L and P Band Pol-InSAR data inversion over tropical forest are shown, including validation against ground measurements.