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Remote Sens. 2016, 8(5), 398; doi:10.3390/rs8050398

LiCHy: The CAF’s LiDAR, CCD and Hyperspectral Integrated Airborne Observation System

1
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
2
Key Laboratory of Forest Remote Sensing and Information Techniques, State Forestry Administration of China, Beijing 100091, China
3
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
4
Jiaxing Opto-Electronic Engineering Center, Chinese Academy of Sciences, Jiaxing 314000, China
*
Author to whom correspondence should be addressed.
Academic Editors: Cheng Wang, Peter Krzystek, Wei Yao, Marco Heurich and Prasad S. Thenkabail
Received: 1 November 2015 / Revised: 18 March 2016 / Accepted: 5 May 2016 / Published: 13 May 2016
View Full-Text   |   Download PDF [12809 KB, uploaded 18 May 2016]   |  

Abstract

We describe the design, implementation and performance of a novel airborne system, which integrates commercial waveform LiDAR, CCD (Charge-Coupled Device) camera and hyperspectral sensors into a common platform system. CAF’s (The Chinese Academy of Forestry) LiCHy (LiDAR, CCD and Hyperspectral) Airborne Observation System is a unique system that permits simultaneous measurements of vegetation vertical structure, horizontal pattern, and foliar spectra from different view angles at very high spatial resolution (~1 m) on a wide range of airborne platforms. The horizontal geo-location accuracy of LiDAR and CCD is about 0.5 m, with LiDAR vertical resolution and accuracy 0.15 m and 0.3 m, respectively. The geo-location accuracy of hyperspectral image is within 2 pixels for nadir view observations and 5–7 pixels for large off-nadir observations of 55° with multi-angle modular when comparing to LiDAR product. The complementary nature of LiCHy’s sensors makes it an effective and comprehensive system for forest inventory, change detection, biodiversity monitoring, carbon accounting and ecosystem service evaluation. The LiCHy system has acquired more than 8000 km2 of data over typical forests across China. These data are being used to investigate potential LiDAR and optical remote sensing applications in forest management, forest carbon accounting, biodiversity evaluation, and to aid in the development of similar satellite configurations. This paper describes the integration of the LiCHy system, the instrument performance and data processing workflow. We also demonstrate LiCHy’s data characteristics, current coverage, and potential vegetation applications. View Full-Text
Keywords: airborne remote sensing; forest structure; waveform LiDAR; CCD; imaging spectroscopy; multi-angle airborne remote sensing; forest structure; waveform LiDAR; CCD; imaging spectroscopy; multi-angle
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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. (CC BY 4.0).

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MDPI and ACS Style

Pang, Y.; Li, Z.; Ju, H.; Lu, H.; Jia, W.; Si, L.; Guo, Y.; Liu, Q.; Li, S.; Liu, L.; Xie, B.; Tan, B.; Dian, Y. LiCHy: The CAF’s LiDAR, CCD and Hyperspectral Integrated Airborne Observation System. Remote Sens. 2016, 8, 398.

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