Share Email Print
cover

Proceedings Paper

Development of airborne remote sensing instrumentations for NEON
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Airborne remote sensing plays a critical role in the scaling strategy underpinning the National Ecological Observatory Network (NEON) design. Airborne spectroscopy and waveform LiDAR will quantify plant species type and function, and vegetation structure and heterogeneity at the scale of individual shrubs and larger plants (1-3 meters) over hundreds of square kilometers. Panchromatic photography at better than 30 cm resolution will retrieve fine-scale information regarding land use, roads, impervious surfaces, and built structures. NEON will build three airborne systems to allow for routine coverage of NEON sites (60 sites nationally) and the capacity to respond to investigator requests for specific projects. The system design achieves a balance between performance, and development cost and risk. The approach takes full advantage of existing commercial airborne LiDAR and camera components. However, requirements for the spectrometer represent a significant advancement in technology. A pushbroom imaging spectrometer design is being proposed to simultaneously achieve high spatial, spectral and signal-to-noise ratio and a high degree of uniformity in response across wavelength and a wide field of view. To reduce risk during NEON construction, a spectrometer design verification unit is under development by the Jet Propulsion Laboratory to demonstrate that the design and component technologies meet operational and performance requirements. This paper presents an overview of system design, key requirements and development status of the NEON airborne instrumentation.

Paper Details

Date Published: 12 August 2010
PDF: 10 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090I (12 August 2010); doi: 10.1117/12.860182
Show Author Affiliations
Brian R. Johnson, The National Ecological Observatory Network, Inc. (United States)
Thomas U. Kampe, The National Ecological Observatory Network, Inc. (United States)
Michele Kuester, The National Ecological Observatory Network, Inc. (United States)


Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

© SPIE. Terms of Use
Back to Top