Estimation of the Backscatter Vertical Profile of a Pine Forest Using Single Baseline P-Band (Pol-)InSAR Data (original) (raw)
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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
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.
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.
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.
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
TanDEM-X (TDX) forms with TerraSAR-X (TSX) the first single-pass synthetic aperture radar (SAR) interferometer in space with polarimetric capabilities. The availability of such system allows for the first time the acquisition and analysis of X-band Pol-InSAR data from space without the disturbing effect of temporal decorrelation. After two years of mission, time series with variable baseline over the same forest sites are available, allowing to (1) explore their information content, (2) assess penetration capabilities, (3) assess scattering model assumptions, and (4) estimate vertical structure and monitor its dynamics. This paper discusses for the first time the potential of estimating forest vertical structure from spaceborne single-pass interferometers, extending classical tomographic concepts. Results of first experiments with TSX/TDX multibaseline Pol-InSAR data acquired over the Tapajos national forest (Brazil) are shown. Especially regarding tropical forests, potentials and applications of X-band for forest structure monitoring will also be 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
Dual Pol-InSAR Forest Height Estimation By Means Of TANDEM-X Data
The TanDEM-X mission [1] provides for the first time single pass (single- and dual-) polarimetric interferometric data from space. This allows the acquisition and analysis of Pol-InSAR data without the disturbing effect of temporal decorrelation on a global scale. Polarimetric interferometric X-band data are now available for different forest ecosystems (from boreal to tropics) in different seasons. The penetration capability of X-band in vegetation is limited and depends strongly on the corresponding forest conditions. However, first data analysis showed sufficient penetration to apply Pol-InSAR height estimation at least for a boreal forest scenario [2]. The limitations of X-band for forest parameter estimation can be identified by analyzing data sets from different forest types. Additionally seasonal effects like leaf fall or freezing conditions may change the backscattering behavior or penetration capability of X-band for forests. It was already shown that the ability to penetra...
Measurements and modeling of vertical backscatter distribution in forest canopy
IEEE Transactions on Geoscience and Remote Sensing, 2000
This paper presents the results of analysis and modeling of the airborne ranging scatterometer HUTSCAT data obtained over an Austrian pine forest in Southern France. The objective is to use high vertical resolution backscatter profiles to validate a model which is subsequently used to determine the scattering sources within a canopy and to understand the wave/tree interaction mechanisms.
TanDEM-X Pol-InSAR Performance for Forest Height Estimation
IEEE Transactions on Geoscience and Remote Sensing, 2014
TanDEM-X and TerraSAR-X platforms form together the first spaceborne single-pass polarimetric interferometer in space. This allows, for the first time, the acquisition of spaceborne polarimetric synthetic aperture radar interferometry (Pol-InSAR) data without the disturbing effect of temporal decorrelation. This paper aims to assess the potential of such data for forest applications. For this, single-and dual-pol data acquired over a boreal, a temperate, and a tropical site were investigated to characterize X-band penetration and polarization diversity of the interferometric coherence measurements. Pol-InSAR forest height inversion schemes have been proposed and implemented for the single-and dual-pol cases and cross validated against LIDAR reference measurements for all sites. The single-pol inversion relies on an external ground digital terrain model (DTM) and performed well for all sites with correlation coefficients r 2 between 0.80 and 0.98. The dual-pol inversion does not require an external DTM but depends on the visibility of the whole forest layer. Accordingly, its performance varied with forest structure and season: The best performance was achieved for the summer acquisition of the boreal test site (r 2 = 0.86) and for the winter acquisition of the temperate test site (r 2 = 0.77). For the tropical test site, only a weak correlation (r 2 = ∼0.50) could be established.
Tropical-Forest-Parameter Estimation by Means of Pol-InSAR: The INDREX-II Campaign
IEEE Transactions on Geoscience and Remote Sensing, 2000
This paper addresses the potential and limitations of polarimetric synthetic aperture radar (SAR) interferometry (Pol-InSAR) inversion techniques for quantitative forest-parameter estimation in tropical forests by making use of the unique data set acquired in the frame of the second Indonesian Airborne Radar Experiment (INDREX-II) campaign-including Pol-InSAR, light detection and ranging (LIDAR), and ground measurements-over typical Southeast Asia forest formations. The performance of Pol-InSAR inversion is not only assessed primarily at L-and P-band but also at higher frequencies, namely, X-band. Critical performance parameters such as the "visibility of the ground" at L-and P-band as well as temporal decorrelation in shorttime repeat-pass interferometry are discussed and quantitatively assessed. Inversion performance is validated against LIDAR and ground measurements over different test sites.