Comparison of airborne lidar measurements with 420 kHz echo-sounder measurements of zooplankton

2005 ◽  
Vol 44 (26) ◽  
pp. 5504 ◽  
Author(s):  
James H. Churnside ◽  
Richard E. Thorne
Keyword(s):  
Airborne Lidar ◽  
Lidar Measurements ◽  
Echo Sounder

Registration of Airborne LiDAR Bathymetry and Multibeam Echo Sounder Point Clouds

2021 ◽  
pp. 1-5
Author(s):  
Xiankun Wang ◽  
Fanlin Yang ◽  
Hande Zhang ◽  
Dianpeng Su ◽  
Zhiliang Wang ◽  
...  
Keyword(s):  
Point Clouds ◽  
Airborne Lidar ◽  
Airborne Lidar Bathymetry ◽  
Echo Sounder

scholarly journals Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data

2018 ◽  
Vol 10 (11) ◽  
pp. 1691 ◽  
Author(s):  
Xuebo Yang ◽  
Cheng Wang ◽  
Sheng Nie ◽  
Xiaohuan Xi ◽  
Zhenyue Hu ◽  
...  
Keyword(s):  
Surface Characteristics ◽  
Airborne Lidar ◽  
Estimation Accuracy ◽  
Estimation Model ◽  
Large Area ◽  
Waveform Data ◽  
Terrain Slope ◽  
Lidar Measurements ◽  
Slope Estimation ◽  
Study Sites

The terrain slope is one of the most important surface characteristics for quantifying the Earth surface processes. Space-borne LiDAR sensors have produced high-accuracy and large-area terrain measurement within the footprint. However, rigorous procedures are required to accurately estimate the terrain slope especially within the large footprint since the estimated slope is likely affected by footprint size, shape, orientation, and terrain aspect. Therefore, based on multiple available datasets, we explored the performance of a proposed terrain slope estimation model over several study sites and various footprint shapes. The terrain slopes were derived from the ICESAT/GLAS waveform data by the proposed method and five other methods in this study. Compared with five other methods, the proposed method considered the influence of footprint shape, orientation, and terrain aspect on the terrain slope estimation. Validation against the airborne LiDAR measurements showed that the proposed method performed better than five other methods (R2 = 0.829, increased by ~0.07, RMSE = 3.596°, reduced by ~0.6°, n = 858). In addition, more statistics indicated that the proposed method significantly improved the terrain slope estimation accuracy in high-relief region (RMSE = 5.180°, reduced by ~1.8°, n = 218) or in the footprint with a great eccentricity (RMSE = 3.421°, reduced by ~1.1°, n = 313). Therefore, from these experiments, we concluded that this terrain slope estimation approach was beneficial for different terrains and various footprint shapes in practice and the improvement of estimated accuracy was distinctly related with the terrain slope and footprint eccentricity.

scholarly journals Monitoring tropical forest carbon stocks and emissions using Planet satellite data

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ovidiu Csillik ◽  
Pramukta Kumar ◽  
Joseph Mascaro ◽  
Tara O’Shea ◽  
Gregory P. Asner
Keyword(s):  
Climate Change ◽  
Large Scale ◽  
Cost Effective ◽  
Carbon Stocks ◽  
Airborne Lidar ◽  
Aboveground Carbon ◽  
Lidar Measurements ◽  
High Resolution Map ◽  
Aboveground Carbon Density ◽  
Planet Satellite

AbstractTropical forests are crucial for mitigating climate change, but many forests continue to be driven from carbon sinks to sources through human activities. To support more sustainable forest uses, we need to measure and monitor carbon stocks and emissions at high spatial and temporal resolution. We developed the first large-scale very high-resolution map of aboveground carbon stocks and emissions for the country of Peru by combining 6.7 million hectares of airborne LiDAR measurements of top-of-canopy height with thousands of Planet Dove satellite images into a random forest machine learning regression workflow, obtaining an R2 of 0.70 and RMSE of 25.38 Mg C ha−1 for the nationwide estimation of aboveground carbon density (ACD). The diverse ecosystems of Peru harbor 6.928 Pg C, of which only 2.9 Pg C are found in protected areas or their buffers. We found significant carbon emissions between 2012 and 2017 in areas aggressively affected by oil palm and cacao plantations, agricultural and urban expansions or illegal gold mining. Creating such a cost-effective and spatially explicit indicators of aboveground carbon stocks and emissions for tropical countries will serve as a transformative tool to quantify the climate change mitigation services that forests provide.

scholarly journals Airborne Lidar Measurements of Pollution above the Oil Sands Region in Northern Alberta

2016 ◽  
Vol 119 ◽  
pp. 20004
Author(s):  
Monika Aggarwal ◽  
James Whiteway ◽  
Jeffrey Seabrook ◽  
Lawrence Gray ◽  
Kevin B. Strawbridge
Keyword(s):  
Oil Sands ◽  
Airborne Lidar ◽  
Lidar Measurements ◽  
Northern Alberta

Pulsed airborne lidar measurements of atmospheric optical depth using the Oxygen A-band at 765 nm

2013 ◽  
Vol 52 (25) ◽  
pp. 6369 ◽  
Author(s):  
Haris Riris ◽  
Michael Rodriguez ◽  
Graham R. Allan ◽  
William Hasselbrack ◽  
Jianping Mao ◽  
...  
Keyword(s):  
Optical Depth ◽  
Airborne Lidar ◽  
Lidar Measurements
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