| Remote Sensing | |
| NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager | |
| Bruce D. Cook1  Lawrence A. Corp2  Ross F. Nelson1  Elizabeth M. Middleton1  Douglas C. Morton1  Joel T. McCorkel1  Jeffrey G. Masek1  Kenneth J. Ranson1  Vuong Ly1  | |
| [1] NASA Goddard Space Flight Center, Greenbelt, MD 20771, |
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| 关键词: remote sensing; airborne scanning LiDAR; imaging spectroscopy; surface temperature; sensor fusion; data fusion; ecosystem structure; forest disturbance; forest health; primary production; | |
| DOI : 10.3390/rs5084045 | |
| 来源: mdpi | |
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【 摘 要 】
The combination of LiDAR and optical remotely sensed data provides unique information about ecosystem structure and function. Here, we describe the development, validation and application of a new airborne system that integrates commercial off the shelf LiDAR hyperspectral and thermal components in a compact, lightweight and portable system. Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) airborne imager is a unique system that permits simultaneous measurements of vegetation structure, foliar spectra and surface temperatures at very high spatial resolution (∼1 m) on a wide range of airborne platforms. The complementary nature of LiDAR, optical and thermal data provide an analytical framework for the development of new algorithms to map plant species composition, plant functional types, biodiversity, biomass and carbon stocks, and plant growth. In addition, G-LiHT data enhance our ability to validate data from existing satellite missions and support NASA Earth Science research. G-LiHT’s data processing and distribution system is designed to give scientists open access to both low- and high-level data products (
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190033995ZK.pdf | 9332KB |
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