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Remote Sens. 2014, 6(7), 6566-6586; doi:10.3390/rs6076566
Article

Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS

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Received: 28 January 2014; in revised form: 8 July 2014 / Accepted: 14 July 2014 / Published: 18 July 2014
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Abstract: Forest canopy height is an important biophysical variable for quantifying carbon storage in terrestrial ecosystems. Active light detection and ranging (lidar) sensors with discrete-return or waveform lidar have produced reliable measures of forest canopy height. However, rigorous procedures are required for an accurate estimation, especially when using waveform lidar, since backscattered signals are likely distorted by topographic conditions within the footprint. Based on extracted waveform parameters, we explore how well a physical slope correction approach performs across different footprint sizes and study sites. The data are derived from airborne (Laser Vegetation Imaging Sensor; LVIS) and spaceborne (Geoscience Laser Altimeter System; GLAS) lidar campaigns. Comparisons against field measurements show that LVIS data can satisfactorily provide a proxy for maximum forest canopy heights (n = 705, RMSE = 4.99 m, and R2 = 0.78), and the simple slope correction grants slight accuracy advancement in the LVIS canopy height retrieval (RMSE of 0.39 m improved). In the same vein of the LVIS with relatively smaller footprint size (~20 m), substantial progress resulted from the physically-based correction for the GLAS (footprint size = ~50 m). When compared against reference LVIS data, RMSE and R2 for the GLAS metrics (n = 527) are improved from 12.74–7.83 m and from 0.54–0.63, respectively. RMSE of 5.32 m and R2 of 0.80 are finally achieved without 38 outliers (n = 489). From this study, we found that both LVIS and GLAS lidar campaigns could be benefited from the physical correction approach, and the magnitude of accuracy improvement was determined by footprint size and terrain slope.
Keywords: remote sensing; Geoscience Laser Altimeter System (GLAS); Laser Vegetation Imaging Sensor (LVIS); Light Detection and Ranging (LiDAR); maximum forest canopy height; slope effect correction remote sensing; Geoscience Laser Altimeter System (GLAS); Laser Vegetation Imaging Sensor (LVIS); Light Detection and Ranging (LiDAR); maximum forest canopy height; slope effect correction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Park, T.; Kennedy, R.E.; Choi, S.; Wu, J.; Lefsky, M.A.; Bi, J.; Mantooth, J.A.; Myneni, R.B.; Knyazikhin, Y. Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS. Remote Sens. 2014, 6, 6566-6586.

AMA Style

Park T, Kennedy RE, Choi S, Wu J, Lefsky MA, Bi J, Mantooth JA, Myneni RB, Knyazikhin Y. Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS. Remote Sensing. 2014; 6(7):6566-6586.

Chicago/Turabian Style

Park, Taejin; Kennedy, Robert E.; Choi, Sungho; Wu, Jianwei; Lefsky, Michael A.; Bi, Jian; Mantooth, Joshua A.; Myneni, Ranga B.; Knyazikhin, Yuri. 2014. "Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS." Remote Sens. 6, no. 7: 6566-6586.


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