Gary Smith-Jonforsen
Chalmers University of Technology
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Featured researches published by Gary Smith-Jonforsen.
IEEE Transactions on Geoscience and Remote Sensing | 2005
Gary Smith-Jonforsen; Lars M. H. Ulander; Xianyun Luo
Low-frequency synthetic aperture radar (SAR) is a promising technique for stem volume retrieval, particularly for dense forests, due to the good penetration of forest canopies. However, it is well known that the dominant scattering mechanism, the trunk-ground dihedral interaction, decreases rapidly on sloping terrain. In this paper, we use low VHF-band SAR data, collected with CARABAS over dense coniferous forests in Sweden, to examine the effect of topography. Using flight passes with different headings, the effect of slope and aspect angle on backscatter is characterized. For tall trees (/spl sim/30 m), on the steepest slopes in the test-site (up to /spl sim/12/spl deg/), differences of up to 8 dB are observed between images acquired with different look directions relative to the slope. A physical model is developed to investigate the different scattering mechanisms and their sensitivity to terrain slopes. The model shows that the trunk-ground scattering still dominates the response for large trees on moderate slopes, and a semiempirical model for the effect of topography on backscatter is proposed. The model shows good agreement with measurements, indicating the possibility of using it to compensate for the effects of sloping terrain when retrieving stem volume in coniferous forest.
international geoscience and remote sensing symposium | 2007
Johan E. S. Fransson; Mattias Magnusson; Håkan Olsson; Leif E.B. Eriksson; Gustaf Sandberg; Gary Smith-Jonforsen; Lars M. H. Ulander
A controlled experiment has been performed to quantify the ability to detect clear-cuts using ALOS PALSAR data. The experiment consisted of 8 old spruce dominated stands, each with a size of about 1.5 ha, located at a test site in southern Sweden. Four of the stands were clear-felled and the remaining stands were left untreated for reference. A time series of PALSAR images was acquired prior to, during, and after treatment, including 7 fine beam single polarization (FBS, look angle 34.3deg, HH-polarization) SAR images. The results clearly show that the clear-felled stands could be separated from the reference stands. The drop in backscattering coefficient between the reference and the clear-felled stands was on average 2.1 dB. This implies that ALOS PALSAR data potentially can be used for large-scale mapping of changes in forest cover.
IEEE Transactions on Geoscience and Remote Sensing | 2005
Björn Hallberg; Gary Smith-Jonforsen; Lars M. H. Ulander
Multiple VHF-band radar images from the airborne CARABAS-II system, retrieved with varying look direction to the imaged area, are coregistered and combined to improve spatial and radiometric resolution. Combined images over boreal forest in southern Sweden are used to identify and make backscatter measurements of individual trees. A coregistration scheme is proposed, and backscatter is compared to ground measurements of individual stem volume. It is found that the spatial resolution and radiometric precision could be significantly improved by combining the images coherently. A nearly linear relation between backscattered amplitude and individual stem volume for trees with a stem volume over 0.2 m/sup 3/ was found, which is in agreement with previous results at stand level.
IEEE Transactions on Geoscience and Remote Sensing | 2008
Björn Hallberg; Gary Smith-Jonforsen; Lars M. H. Ulander; Gustaf Sandberg
In this paper, a model for prediction of radar backscatter from coniferous forests in the VHF and UHF band is proposed. The model includes the double-bounce scattering originating from vertical stems standing on an undulating ground surface and is based on a physical-optics approach. The model can be used to assess the importance of ground topography in synthetic aperture radar (SAR) imagery of forests, and it is applicable to SAR systems using horizontally transmit and receive polarization (HH). The model was validated against data from the airborne SAR systems CARABAS-II and LORA. Precision measurements of ground topography and forest characterization at a single tree level were used as model input to simulate SAR images. The simulated images were compared to radar data in the frequency bands 22-82 and 225- 470 MHz, and it was found that the model could predict much of the variation in backscatter observed in images (R2 = 0.44 and 0.65 at best, for the lower and higher frequency band, respectively), which should be compared to R2 = 0.1 if the same model, but assuming a flat ground, was used. The results thus indicate that ground topography must be considered when predicting the variations in backscatter in the SAR images studied. The model did, however, fail to predict the absolute values of the backscattered intensity. The reason for the discrepancy is believed to be the value chosen for stem dielectric constant and unmodeled effects due to wave attenuation, tilting stems, and small-scale surface roughness.
IEEE Transactions on Geoscience and Remote Sensing | 2009
Klas Folkesson; Gary Smith-Jonforsen; Lars M. H. Ulander
A limiting factor that has been identified for stem-volume retrieval in coniferous forests using VHF synthetic aperture radar is that the backscatter varies depending on ground topography. On sloping ground, the backscatter from a forest is reduced, since the dominant ground-trunk double-bounce scattering mechanism is changed. This leads to underestimation of stem volume, and the variations caused by topography can obscure real variations in stem volume. By using multiple images acquired with different flight headings and combining the image information with ground-topography data in a model-based inversion method, we are able to compensate for the ground-topography influence on the backscatter. The inversion method is based on image segmentation and the optimal estimation method. Using four or more images from the CARABAS-II system and a coarse digital elevation model with 50-m horizontal grid, the stem volume can be retrieved with an average root-mean-square error (rmse) of less than 60 m3 ha-1 for stem volumes in range of 80-700 m3 ha-1 (in terms of above-ground biomass, this is equivalent to an rmse of less than 40 ton ldr ha-1 over the range of 50-400 ton ldr ha-1). The retrieval accuracy is similar to that previously obtained for similar forests standing on flat and horizontal ground.
IEEE Geoscience and Remote Sensing Letters | 2007
Gary Smith-Jonforsen; Klas Folkesson; Björn Hallberg; Lars M. H. Ulander
In previous studies, P-band synthetic aperture radar (SAR) has shown potential for biomass retrieval in forests. However, while measurements show a general agreement that backscatter increases with increasing biomass, different studies show that the backscatter from stands of similar biomass can significantly vary depending on forest structure, hence making biomass retrieval more challenging. In this letter, we show that, while biomass may be the single most important parameter determining the backscatter from a forest, the number density of trees has also a major impact. This can be explained using simple arguments, leading us to propose the use of the biomass-consolidation index to describe P-band HV-polarized backscatter. This is supported by electromagnetic-modeling studies and by a few measurements from boreal forest made with the AIRSAR system over the BOREAS test site in Canada.
international geoscience and remote sensing symposium | 2007
Leif E.B. Eriksson; Gustaf Sandberg; Lars M. H. Ulander; Gary Smith-Jonforsen; Björn Hallberg; Klas Folkesson; Johan E. S. Fransson; Mattias Magnusson; Håkan Olsson; Anders Gustavsson; B. Flood
In 2006 calibration activities for ALOS PALSAR were conducted in Sweden. Four five-metre trihedral corner reflectors and three smaller dihedral reflectors were deployed and operated during eight months. 23 PALSAR scenes were acquired over the calibration site allowing an evaluation of the quality and temporal stability of the data. Results show that the co-polarized data have been stable during the whole calibration period with variations in the trihedral responses lower than 0.7 dB. The measured resolution in azimuth was 4.4 m and in slant range 4.7 m for single polarization images and 9.5 m for polarimetric data. For the cross-polarized data large variations in the dihedral responses were found. It is assumed that this is caused by a larger sensitivity to pointing errors. For the polarimetric data, estimation of Faraday rotation gave values ranging from 0.1deg to 3deg.
international geoscience and remote sensing symposium | 2006
Lars M. H. Ulander; Leif E.B. Eriksson; Gary Smith-Jonforsen; Johan E. S. Fransson; Håkan Olsson
This paper describes the Swedish activities to support calibration and validation of the Japanese satellite ALOS. Data over three test sites from the instruments PALSAR and AVNIR-2 will be provided by JAXA for evaluation purposes. The main activity during 2006 is a PALSAR calibration experiment using four 5-m radar reflectors, which will be deployed at the test site in southern Sweden. The ALOS data will also be used for developing forest applications, e.g. detection of clear-cuts and storm damages.
international geoscience and remote sensing symposium | 2006
Lars M. H. Ulander; Anders Gustavsson; J.E.S. Fransson; Mattias Magnusson; Gary Smith-Jonforsen; Klas Folkesson; Björn Hallberg; Leif E.B. Eriksson
A severe storm struck the southern part of Sweden in early January 2005 and caused much damage on the forests. Most of the large contiguous patches of wind-thrown timber were cleared during the same year. Numerous of smaller areas with fallen trees located in otherwise untouched forest stands were, however, still present and in many cases not even yet noticed. In an attempt to detect and position such areas, the airborne VHF SAR sensor CARABAS-II mapped 125 km by 125 km of mainly forested land in January 2006. The mission required 15 flights in total and all collected data are now processed and analyzed, with the detection results delivered to the end-user.
international geoscience and remote sensing symposium | 2006
Klas Folkesson; Björn Hallberg; Gary Smith-Jonforsen; Lars M. H. Ulander; J.E.S. Fransson; Mattias Magnusson
A method for automatic detection of wind-thrown forest from VHF SAR images has been developed. It has been used to detect wind-thrown trees and estimate the volume of fallen timber within an area of 125 km × 125 km located in southern Sweden.