Research on Simulation and Analysis of Spaceborne Full Waveform Laser Altimeter

2015 ◽  
Vol 52 (10) ◽  
pp. 102801
Author(s):  
王春辉 Wang Chunhui ◽  
李旭 Li Xu ◽  
彭欢 Peng Huan
Keyword(s):  
Laser Altimeter ◽  
Full Waveform

scholarly journals REFINED SIMULATION OF SATELLITE LASER ALTIMETER FULL ECHO WAVEFORM

2018 ◽  
Vol XLII-3 ◽  
pp. 1267-1273
Author(s):  
H. Men ◽  
Y. Xing ◽  
G. Li ◽  
X. Gao ◽  
Y. Zhao ◽  
...  
Keyword(s):  
Laser Energy ◽  
Vital Role ◽  
Data Simulation ◽  
Laser Altimeter ◽  
Validation Data ◽  
Simulation Accuracy ◽  
Waveform Data ◽  
Full Waveform ◽  
Ground Target ◽  
Echo Simulation

The return waveform of satellite laser altimeter plays vital role in the satellite parameters designation, data processing and application. In this paper, a method of refined full waveform simulation is proposed based on the reflectivity of the ground target, the true emission waveform and the Laser Profile Array (LPA). The ICESat/GLAS data is used as the validation data. Finally, we evaluated the simulation accuracy with the correlation coefficient. It was found that the accuracy of echo simulation could be significantly improved by considering the reflectivity of the ground target and the emission waveform. However, the laser intensity distribution recorded by the LPA has little effect on the echo simulation accuracy when compared with the distribution of the simulated laser energy. At last, we proposed a refinement idea by analyzing the experimental results, in the hope of providing references for the waveform data simulation and processing of GF-7 satellite in the future.

scholarly journals waveformlidar: An R Package for Waveform LiDAR Processing and Analysis

2019 ◽  
Vol 11 (21) ◽  
pp. 2552 ◽  
Author(s):  
Tan Zhou ◽  
Sorin Popescu
Keyword(s):  
Vegetation Structure ◽  
R Package ◽  
Ecosystem Dynamics ◽  
Lidar Data ◽  
Laser Altimeter ◽  
The Public ◽  
Full Waveform ◽  
Small Footprint ◽  
Waveform Lidar ◽  
Different Sources

A wealth of Full Waveform (FW) LiDAR (Light Detection and Ranging) data are available to the public from different sources, which is poised to boost extensive applications of FW LiDAR data. However, we lack a handy and open source tool that can be used by potential users for processing and analyzing FW LiDAR data. To this end, we introduce waveformlidar, an R package dedicated to FW LiDAR processing, analysis and visualization as a solution to the constraint. Specifically, this package provides several commonly used waveform processing methods such as Gaussian, Adaptive Gaussian and Weibull decompositions and deconvolution approaches (Gold and Richard-Lucy (RL)) with users’ customized settings. In addition, we also developed functions to derive commonly used waveform metrics for characterizing vegetation structure. Moreover, a new way to directly visualize FW LiDAR data is developed by converting waveforms into points to form the Hyper Point Cloud (HPC), which can be easily adopted and subsequently analyzed with existing discrete-return LiDAR processing tools such as LAStools and FUSION. Basic explorations of the HPC such as 3D voxelization of the HPC and conversion from original waveforms to composite waveforms are also available in this package. All of these functions are developed based on small-footprint FW LiDAR data but they can be easily transplanted to the large footprint FW LiDAR data such as Geoscience Laser Altimeter System (GLAS) and Global Ecosystem Dynamics Investigation (GEDI) data analysis. It is anticipated that these functions will facilitate the widespread use of FW LiDAR and be beneficial for better estimating biomass and characterizing vegetation structure at various scales.

scholarly journals A Comparison of Surface Slopes Extracted from ICESat Waveform Data and High Resolution DEM

2020 ◽  
Vol 237 ◽  
pp. 01001
Author(s):  
Huan Xie ◽  
Hong Tang ◽  
Wenjia Du ◽  
Xiaohua Tong
Keyword(s):  
High Resolution ◽  
Surface Slope ◽  
Laser Altimeter ◽  
Waveform Data ◽  
Ice Cloud ◽  
Full Waveform ◽  
Digital Elevation ◽  
Surface Slopes ◽  
Sloping Surface ◽  
Elevation Model

Surface slope is an important topographic variable, accurate surface slope can support many research appliacations. Large footprint full waveform data has been used to estimate the surface slope and performes well. In this paper, surface slope within laser footprint is calculated using the Ice, Cloud, and land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) full waveform data and a high resolution Digital Elevation Model (REMA, the Reference Elevation Model of Antarctica). A comparison is done between two extracted surface slopes, the results show that the slopes extracted from full waveform data are close to slopes extracted from DEM, and the width of waveform can be used to extract surface slope in moderately sloping surface.

scholarly journals PRELIMINARY QUALITY ANALYSIS OF GF-7 SATELLITE LASER ALTIMETER FULL WAVEFORM DATA

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 129-134
Author(s):  
G. Li ◽  
J. Guo ◽  
X. Tang ◽  
F. Ye ◽  
Z. Zuo ◽  
...  
Keyword(s):  
Data Quality ◽  
Signal To Noise Ratio ◽  
Quality Analysis ◽  
Laser Altimeter ◽  
Waveform Data ◽  
Full Waveform ◽  
Data Quality Assessment ◽  
Small Footprint ◽  
Transmitted Waveform

Abstract. The full-waveform data is the core data of GaoFen-7 (GF-7) satellite laser altimeter, and evaluation of waveform data quality is an important step and premise for satellite laser altimetry and quality control. In this paper, the full waveform data quality assessment and analysis of GF-7 laser altimeter is implemented during the period of on-orbit experiment, and the real waveform data of many orbits is used to quantitatively describe the characteristic parameters of the transmitted waveform and the signal-to-noise ratio (SNR), and the result of two beam lasers is compared. The conclusion is validated that the GF-7 laser altimeter can obtain effective waveform data and the echo waveform availability of the experimental data is approximate 72.59%, moreover, the quality of beam 1 is slightly better than that of the beam 2. The laser temperature is an important indication of the quality of transmitted waveform according to the SNR changing. The good SNR value of the waveform and small footprint size will be helpful for the terrain information extraction and analysis, although the repetition frequency is low.

scholarly journals SIMULATION OF FULL-WAVEFORM LASER ALTIMETER ECHOWAVEFORM

2016 ◽  
Vol XLI-B1 ◽  
pp. 47-51
Author(s):  
Y. Lv ◽  
X. H. Tong ◽  
S. J. Liu ◽  
H. Xie ◽  
K. F. Luan ◽  
...  
Keyword(s):  
Target Position ◽  
Operating Mode ◽  
Living Environment ◽  
Backscattering Coefficient ◽  
Laser Altimeter ◽  
Factors Affecting ◽  
Full Waveform ◽  
The Earth ◽  
Gaussian Decomposition ◽  
Radar Equation

Change of globe surface height is an important factor to study human living environment. The Geoscience Laser Altimeter System (GLAS) on ICESat is the first laser-ranging instrument for continuous global observations of the Earth. In order to have a comprehensive understanding of full-waveform laser altimeter, this study simulated the operating mode of ICESat and modeled different terrains’ (platform terrain, slope terrain, and artificial terrain) echo waveforms based on the radar equation. By changing the characteristics of the system and the targets, numerical echo waveforms can be achieved. Hereafter, we mainly discussed the factors affecting the amplitude and size (width) of the echoes. The experimental results implied that the slope of the terrain, backscattering coefficient and reflectivity, target height, target position in the footprint and area reacted with the pulse all can affect the energy distribution of the echo waveform and the receiving time. Finally, Gaussian decomposition is utilized to decompose the echo waveform. From the experiment, it can be noted that the factors which can affect the echo waveform and by this way we can know more about large footprint full-waveform satellite laser altimeter.

scholarly journals Inversion of Terrain Slope and Roughness with Satellite Laser Altimeter Full-Waveform Data Assisted by Shuttle Radar Topographic Mission

2021 ◽  
Vol 13 (3) ◽  
pp. 424
Author(s):  
Zhiqiang Zuo ◽  
Xinming Tang ◽  
Guoyuan Li ◽  
Yue Ma ◽  
Wenhao Zhang ◽  
...  
Keyword(s):  
A Priori ◽  
Target Surface ◽  
Absolute Error ◽  
Altimeter Data ◽  
Laser Altimeter ◽  
Waveform Data ◽  
Shuttle Radar Topographic Mission ◽  
Full Waveform ◽  
Terrain Slope ◽  
Uniqueness Of The Solution

Slope and roughness are basic geophysical properties of terrain surface, and also sources of error in satellite laser altimetry systems. The full-waveform satellite laser altimeter records the complete echo waveform backscattered from the target surface worldwide, so it may be used for both range measurement and inversion analysis of geometric parameters of the target surface. This paper proposes a new method for inversion of slope and roughness of the bare or near-bare terrain within laser footprint using full-waveform satellite laser altimeter data, Shuttle Radar Topographic Mission (SRTM) and topographic prior knowledge. To solve the non-uniqueness of the solution to the inversion problem, this paper used the SRTM and airborne Light Detection and Ranging (LiDAR) data in North Rhine-Westphalia, Germany, to establish a priori hypothesis about real information of topographic parameters. Then, under the constraints of prior hypothesis, the theoretical formulas and rules for slope and roughness inversion using the pulse-width broadening knowledge of satellite laser altimeter echo full-waveform were developed. Finally, based on the full-waveform data from the Geoscience Laser Altimeter System (GLAS) that was borne on ICE, Cloud, and Land Elevation Satellite (ICESat) and SRTM in the West Valley City, Utah and Jackson City, Wyoming, United States of America, the inversion was carried out. The experiment compares the results of proposed method with those of existing ones and evaluates the inversion results using high precision terrain slope and roughness information, which indicates that our proposed method is superior to the state-of-the-art methods, and the inversion accuracy for slope is 0.667° (Mean Absolute Error, MAE) and 1.054° (Root Mean Square Error, RMSE), the inversion accuracy for roughness is 0.171 m (MAE) and 0.250 m (RMSE).

Adaptive Gaussian filtering of the full waveform of GF-7 satellite laser altimeter

2020 ◽  
Vol 49 (11) ◽  
pp. 20200251-20200251
Author(s):  
左志强 Zhiqiang Zuo ◽  
唐新明 Xinming Tang ◽  
李国元 Guoyuan Li ◽  
李松 Song Li
Keyword(s):  
Laser Altimeter ◽  
Gaussian Filtering ◽  
Full Waveform ◽  
Adaptive Gaussian Filtering

scholarly journals waveformlidar: An R Package for Waveform LiDAR Processing and Analysis

2019 ◽  
Author(s):  
Tan Zhou ◽  
Sorin Popescu
Keyword(s):  
Vegetation Structure ◽  
R Package ◽  
Ecosystem Dynamics ◽  
Lidar Data ◽  
Laser Altimeter ◽  
The Public ◽  
Full Waveform ◽  
Small Footprint ◽  
Waveform Lidar ◽  
Different Sources

A wealth of Full Waveform (FW) LiDAR data are available to the public from different sources, which is poised to boost the extensive application of FW LiDAR data. However, we lack a handy and open source tool that can be used by potential users for processing and analyzing FW LiDAR data. To this end, we introduce waveformlidar, an R package dedicated to FW LiDAR processing, analysis and visualization as a solution to the constraint. Specifically, this package provides several commonly used waveform processing methods such as Gaussian, adaptive Gaussian and Weibull decompositions, and deconvolution approaches (Gold and Richard-Lucy (RL)) with users’ customized settings. In addition, we also developed functions to derive commonly used waveform metrics for characterizing vegetation structure. Moreover, a new way to directly visualize FW LiDAR data is developed through converting waveforms into points to form the Hyper Point cloud (HPC), which can be easily adopted and subsequently analyzed with existing discrete-return LiDAR processing tools such as LAStools and FUSION. Basic explorations of the HPC such as 3D voxelization of the HPC and conversion from original waveforms to composite waveforms are also available in this package. All of these functions are developed based on small-footprint FW LiDAR data, but they can be easily transplanted to the large footprint FW LiDAR data such as Geoscience Laser Altimeter System (GLAS) and Global Ecosystem Dynamics Investigation (GEDI) data analysis. It is anticipated that these functions will facilitate the widespread use of FW LiDAR and be beneficial for better estimating biomass and characterizing vegetation structure at various scales. The package and code examples can be found at https://github.com/tankwin08/waveformlidar.

scholarly journals The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1699 ◽  
Author(s):  
Yang Hu ◽  
Fayun Wu ◽  
Zhongqiu Sun ◽  
Andrew Lister ◽  
Xianlian Gao ◽  
...  
Keyword(s):  
Terrestrial Ecosystem ◽  
Forest Monitoring ◽  
Hunan Province ◽  
Percentage Error ◽  
Laser Altimeter ◽  
Absolute Deviation ◽  
Waveform Data ◽  
Full Waveform ◽  
Forest Height ◽  
The Mean

The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows for the acquisition of forest monitoring data. This paper mainly describes the design, use, operating principles, installation and data properties of the new Laser Vegetation Detecting Sensor (LVDS), a LiDAR system designed and developed at the Academy of Forest Inventory and Planning (AFIP) and the Beijing Institute of Telemetry (BIT). Data from LVDS were used to calculate the mean height of forest trees on sample plots using data collected in the Hunan province of China. The results show that the full waveform data obtained by LVDS has the ability to accurately characterize forest height. The mean absolute percentage error of mean forest height per plot in flat areas was 6.8%, with a mean absolute deviation of 0.78 m. The airborne LVDS system provides prototype data sets and a platform for instrument proof-of-concept studies for China’s Terrestrial Ecosystem Carbon Monitoring (TECM) mission, which is an Earth remote sensing satellite due for launch in 2020. The information produced by LVDS allows for forest structure studies with high accuracy and coverage of large areas.

scholarly journals DECOMPOSITION TECHNIQUES FOR ICESAT/GLAS FULL-WAVEFORM DATA

2018 ◽  
Vol XLII-3 ◽  
pp. 1179-1182
Author(s):  
Z. Liu ◽  
X. Gao ◽  
G. Li ◽  
J. Chen
Keyword(s):  
Decomposition Method ◽  
Optimization Method ◽  
Ice Shelf ◽  
Laser Altimeter ◽  
Waveform Data ◽  
Ice Cloud ◽  
Full Waveform ◽  
Long Duration ◽  
Waveform Lidar ◽  
Full Waveform Lidar

The geoscience laser altimeter system (GLAS) on the board Ice, Cloud, and land Elevation Satellite (ICESat), is the first long-duration space borne full-waveform LiDAR for measuring the topography of the ice shelf and temporal variation, cloud and atmospheric characteristics. In order to extract the characteristic parameters of the waveform, the key step is to process the full waveform data. In this paper, the modified waveform decomposition method is proposed to extract the echo components from full-waveform. First, the initial parameter estimation is implemented through data preprocessing and waveform detection. Next, the waveform fitting is demonstrated using the Levenberg-Marquard (LM) optimization method. The results show that the modified waveform decomposition method can effectively extract the overlapped echo components and missing echo components compared with the results from GLA14 product. The echo components can also be extracted from the complex waveforms.

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