Analysis of geosar dual-band InSAR data for peruvian forest

Williams, Mark L.; Silman, Miles R.; Saatchi, Sassan; Hensley, Scott; Sanford, Mark; Yohannan, A; Kofman, B; Reis, James J.; Kampes, Bert

doi:10.1109/igarss.2010.5651188

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…GeoSAR acquires X-band (VV, 9.7 GHz) and P-band (HH, 0.35 GHz) simultaneously over 11 km swaths [20]. GeoSAR has emerged as a potential instrument to be used to estimate forest attributes, such as canopy height [21] and biomass [20,22]. Long wavelengths from the P-band (0.85 m) penetrate the upper canopy and can reach the ground; short wavelengths (0.03 m) from the X-band are scattered at the top of the canopy.…”

Section: Introductionmentioning

confidence: 99%

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

et al. 2012

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Abstract:The objective of this study was to determine whether leaf area index (LAI) in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar data (from GeoSAR) alone, or both in combination. In situ measurements of LAI were made using the LiCor LAI-2000 Plant Canopy Analyzer on 61 plots (21 hardwood, 36 pine, 4 mixed pine hardwood; stand age ranging from 12-164 years; mean height ranging from 0.4 to 41.2 m) in the Appomattox-Buckingham State Forest, Virginia, USA. Lidar distributional metrics were calculated for all returns and for ten one meter deep crown density slices (a new metric), five above and five below the mode of the vegetation returns for each plot. GeoSAR metrics were calculated from the X-band backscatter coefficients (four looks) as well as both X-and P-band interferometric heights and magnitudes for each plot. Lidar metrics alone explained 69% of the variability in LAI, while GeoSAR metrics alone explained 52%. However, combining the lidar and GeoSAR metrics increased the R 2 to 0.77 with a CV-RMSE of 0.42.This study indicates the clear potential for X-band backscatter and interferometric height (both now available from spaceborne sensors), when combined with small-footprint lidar data, to improve LAI estimation in temperate mixed forests.

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Section: Introductionmentioning

confidence: 99%

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

et al. 2012

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“…The Height Discontinuity method relies on the height discontinuity between a canopy and an adjacent cleared or open area to derive the canopy height (Hagberg et al, 1995;Woodhouse et al, 2006;Williams et al, 2010). Hagberg et al (1995) used ERS-1 (C -W ) InSAR height data as an estimate of canopy height in dense boreal forest by comparing a sparse forest canopy relative to an open field.…”

Section: ) Height Discontinuity Methodmentioning

confidence: 99%

“…Ranging; e.g., Means et al, 2000;Lefsky et al, 2002;Andersen et al, 2005a), synthetic aperture radar (SAR), interferometric SAR (InSAR or IFSAR; Madsen et al, 1993;Hensley et al, 2000;Rabus et al, 2003), and polarimetric InSAR (PolInSAR; Cloude and Papathanassiou, 1997;Mercer et al, 2007). These technologies are capable o f generating high resolution elevation models, land cover maps, and detailed measurements o f 3D vegetation canopy structure such as cover type, canopy height, and vegetation density Andersen et al, 2007;Williams et al, 2010).…”

Section: Forest Biophysical Parameter Measurement Techniquesmentioning

confidence: 99%

“…One approach, applied in this study, is to subtract an independent elevation measurement of the ground surface from interferometric surface height, to derive what is called scattering phase centre height (hspc; Kellndorfer et al, 2004;Simard et al, 2006) to yield an estimate of vegetation canopy height. Another, also applied in this study, utilizes polarimetric interferometry (referred to as PolInSAR) where interferometric height, phase, and phase correlation between two SAR antennae, along with multiple baselines and/or polarizations are used to estimate canopy height directly (Cloude and Papathanassiou, 1998;Papathanassiou et al, 2005;Williams et al, 2010). Detailed descriptions of these methods are provided in chapters two (Theory) and five (Methods).…”

Section: Insar and Polinsar Techniques As Potential Tools For Canopy mentioning

confidence: 99%

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Empirical assessment of multi-wavelength synthetic aperture radar for land cover and canopy height estimation

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Arctic High-Resolution Elevation Models: Accuracy in Sloped and Vegetated Terrain

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Analysis of geosar dual-band InSAR data for peruvian forest

Cited by 6 publications

References 7 publications

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

Empirical assessment of multi-wavelength synthetic aperture radar for land cover and canopy height estimation

Arctic High-Resolution Elevation Models: Accuracy in Sloped and Vegetated Terrain

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