Slope-adaptive waveform metrics of large footprint lidar for estimation of forest aboveground biomass

Wang, Yao; Ni, Wenjian; Sun, Guoqing; Chi, Huisheng; Zhang, Zhiyu; Guo, Zichao

doi:10.1016/j.rse.2019.02.017

Cited by 55 publications

(54 citation statements)

References 55 publications

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“…ICESat-1 and GEDI carry large-footprint and waveform LiDAR systems. The Geoscience Laser Altimeter System (GLAS) instrument aboard ICESat-1 was launched in 2003 and decommissioned in 2009 [19]. GLAS is the first spaceborne LiDAR instrument designed to make global observations.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

et al. 2020

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As a continuation of Ice, Cloud, and Land Elevation Satellite-1 (ICESat-1), the ICESat-2/Advanced Topographic Laser Altimeter System (ATLAS) employs a micro-pulse multi-beam photon counting approach to produce photon data for measuring global terrain. Few studies have assessed the accuracy of different ATLAS channels in retrieving ground topography in forested terrain. This study aims to assess the accuracy of measuring ground topography in forested terrain using different ATLAS channels and the correlation between laser intensity parameters, laser pointing angle parameters, and elevation error. The accuracy of ground topography measured by the ATLAS footprints is evaluated by comparing the derived Digital Terrain Model (DTM) from the ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products with that from the airborne Light Detection And Ranging (LiDAR). Results show that the ATLAS product performed well in the study area at all laser intensities and laser pointing angles, and correlations were found between the ATLAS DTM and airborne LiDAR DTM (coefficient of determination––R2 = 1.00, root mean squared error––RMSE = 0.75 m). Considering different laser intensities, there is a significant correlation between the tx_pulse_energy parameter and elevation error. With different laser pointing angles, there is no significant correlation between the tx_pulse_skew_est, tx_pulse_width_lower, tx_pulse_width_upper parameters and the elevation error.

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Section: Introductionmentioning

confidence: 99%

“…GLAS waveform data has been successfully used to estimate the vertical structure of forest terrain, including ground topography and canopy heights [19][20][21]. Harding et al [20] found that the waveform was an accurate representation of the canopy height distribution within a GLAS footprint.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

et al. 2020

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“…The SRT plans to extract the basic parameters of the GF-7 laser echo waveform, and these parameters will be available as the level 1A product. These basic parameters mainly include waveform quantile height, waveform height index, and waveform energy index [27]. The waveform quantile height includes waveform length, wave peak length, and other parameters.…”

Section: B Laser Data Processing 1) Ranging Data Processingmentioning

confidence: 99%

Design and Data Processing of China's First Spaceborne Laser Altimeter System for Earth Observation: GaoFen-7

Xie

Guo-qin

Liu

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The GaoFen-7 (GF-7) satellite, which was launched on November 3, 2019, is China's first civilian submeter stereo mapping satellite. The satellite is equipped with the first laser altimeter officially in China for earth observation. Except for the laser altimeter, the GF-7 spaceborne laser altimeter system also includes two laser footprint cameras and a laser optical axis surveillance camera. The laser altimeter system is designed and used to assist improving the elevation accuracy without ground control points of the two line-array stereo mapping cameras. This article details the design of the GF-7 spaceborne laser altimeter system, its ranging performance in the laboratory, and its data processing method. The type of data products is also released. These data will play a vital role in the application of geography, glaciology, forestry, and other industries.

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“…The third disturbance is caused by the Gaussian decomposition. As demonstrated by Wang et al [34], the ground peak of waveforms can be successfully recognized when the ground peak is obvious. But when the ground peak is weak, the reliability of the Gaussian decomposition reduces.…”

mentioning

confidence: 94%

The Performance of Relative Height Metrics for Estimation of Forest Above-Ground Biomass Using L- and X-Bands TomoSAR Data

Zhang

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Both synthetic aperture radar tomography (To-moSAR) profiles and light detection and ranging (LiDAR) waveforms are the responses of a 3-D canopy structure. Relative height (RH) metrics are extensively applied for forest biophysical parameters [i.e., the forest height and above-ground biomass (AGB)] estimation in full-waveform LiDAR studies. However, the use of RH metrics to forest biophysical estimation with TomoSAR profiles is limited due to the estimation error in the ground peak. To overcome this problem, RH metrics were redefined to avoid directly estimating the ground peak in this article. The redefined RH metrics were examined based on the L-and X-bands multibaseline (MB) SAR data simulated by LandSAR, which was a coherent backscattering model of 3-D forest canopies with the capability of MB data simulation at a landscape scale. First, the performance of LandSAR in modeling the tomographic features was verified over mountainous areas using the reference DSM and LiDAR digital terrain model acquired in 2012 in the frame of the Daxinganling campaign. Subsequently, the tomographic profiles were retrieved from the simulated MB data by using the Capon method. Additionally, redefined RH metrics were derived and then applied for retrieving the forest height. The highest performance corresponded to the combination of the L-band redefined RH metrics, with a correlation of R 2 = 0.863. The X-band redefined RH metrics performed worst due to limited penetration. Finally, the estimated forest height was used for the AGB retrieval with a height-to-biomass allometry. The R 2 and root-mean-square error of the forest AGB estimated using the combined model were 0.814 and 28.566 t/ha, respectively, compared with the reference forest AGB. All findings demonstrated that the redefined RH metrics had the potential of forest height and AGB retrieval using low frequencies TomoSAR data. Index Terms-Forest height and above-ground biomass (AGB) retrieval, land synthetic aperture radar (SAR), relative height (RH) metrics, tomoSAR data simulation. I. INTRODUCTIONF OREST above-ground biomass (AGB) is a key parameter that is correlated with carbon storage [1]. Nevertheless, it is difficult to accurately quantify the global forest AGB owing

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Slope-adaptive waveform metrics of large footprint lidar for estimation of forest aboveground biomass

Cited by 55 publications

References 55 publications

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain

Design and Data Processing of China's First Spaceborne Laser Altimeter System for Earth Observation: GaoFen-7

The Performance of Relative Height Metrics for Estimation of Forest Above-Ground Biomass Using L- and X-Bands TomoSAR Data

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