Laser Vegetation Imaging Sensor (LVIS) Dataset over La Selva Biological Research Station and surrounding areas of Costa Rica.Entry ID: GSFC_LVIS_1998_CR
Abstract: The La Selva Biological Research Station contains over 1500 hectares of tropical wet forest in the Atlantic lowlands of Costa Rica, and has been extensively surveyed for ecological, hydrological, and topographical purposes. In March of 1998, the Laser Vegetation Imaging Sensor (LVIS), an airborne laser altimeter designed and developed at NASA's Goddard Space Flight Center, was used to map the ... station as part of the pre-launch validation activities of the Vegetation Canopy Lidar (VCL) project. VCL is a spaceborne mission designed to measure vegetation height and structure as well as ground topography with a vertical accuracy of 1 meter using 25 m-diameter footprints. From an altitude of 8 km, LVIS used 25 m footprints spaced 12 m apart across and along track, simultaneously simulating VCL measurements and mapping the 5 by 5 km area of La Selva. Elevation maps of both tree canopy and sub-canopy topography were produced using information contained in the return waveform which is digitally recorded by the LVIS instrument. The ability of the laser altimeter to penetrate dense forest canopies was tested and the accuracy of the sub-canopy topography measurements was assessed by comparing the laser-derived elevations with other available data sets. These data sets include: (1) approximately 3000 elevation points from a 1991 topographic survey of La Selva, (2) FLI-MAP airborne laser altimetry data with a vertical accuracy of 5 cm from fall 1997 overflights, (3) differential, kinematic GPS data, and (4) 90 m resolution Digital Elevation Models. Resulting digital terrain maps of the La Selva Biological Research Station and neighboring overflown terrain will be presented.
The primary data products are:
* Earth topography (bare ground with vegetation removed).
* Vertical structure of tree canopies.
* Biomass estimates and above ground carbon stocks.
* Surface roughness.
* Entropy or Information density of the surveyed surface
Source: Rocchio, L E ; Hofton, M A; Dubayah, R; Blair, J B; Knox, R G. ,1998. Lidar Remote Sensing of Sub-Canopy Topography in a Tropical Wet Forest. AGU. Fall Meeting
Start Date: 1998-01-01Stop Date: 1998-01-01
Access Constraints While substantial efforts have been made to ensure the accuracy of data and documentation, complete accuracy of data sets can not be guaranteed. All data are made available "as is". The LVIS team can not assume responsibility for damages resulting from mis-use or mis-interpretation of datasets or from errors or omissions that may exist in the data. Data users are welcome to collaborate with the ... LVIS team, as this may minimize the potential for misinterpretation of the data.
In order to develop an active community and ensure the flow of ideas between interested parties, the LVIS team makes the following suggestions of individuals who download LVIS data:
- On projects that are integrally dependent on LVIS data, you have the option to request collaboration and/or co-authorship from the LVIS team. (NOTE: This is in no way binding. You are free to use the data on your own. You are not expected or required to contact or work with us in any way. This is simply a suggestion.)
- Please acknowledge the source of the data set as the LVIS team/ project and the appropriate NASA Grant numbers responsible for funding these data sets in any publications using these data and documentation (see LVIS Citations)
- Consider notifying (a simple email will suffice) the LVIS Principal Investigator when any derivative work based on or derived from the data and/or documentation is distributed or presented. (We always appreciate when our data is used and helps result in scientific publications.)
- When derivatives of the LVIS data are distributed in any way, notify subsequent users that such derivative work is not the original LVIS data and/or documentation distributed on the LVIS web site
- Do not redistribute original data and documentation yourself, instead please direct individuals to http://lvis.gsfc.nasa.gov. It is important that we have the ability to contact users of LVIS data so that we can notify them when we upload new data sets and/or correct mistakes in the existing data sets.
- If you would like to share your work with us, we would greatly appreciate it if you would notify us and/or send a reprint of any publications resulting from the use of the data and/or documentation.
Data Set Progress
Role: TECHNICAL CONTACT
Email: James.B.Blair at nasa.gov
NASA Goddard Space Flight Center Mailstop 694.0
Province or State: MD
Postal Code: 20771
Role: DIF AUTHOR
Phone: (301) 614-6898
Email: Tyler.B.Stevens at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: MD
Postal Code: 20771
Blair, J. B., D. L. Rabine, and M. A. Hofton. 1999. The Laser Vegetation Imaging
Sensor: a medium-altitude, difitisation-only, airborne laser altimeter for mapping vegetation and topography. ISPRS Journal of Photogrammetry & Remote Sensing. 54: 115-122.
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Creation and Review Dates
DIF Creation Date: 2007-09-27
Last DIF Revision Date: 2016-11-18