Institute of Ecosystem StudiesBaltimore Ecosystem Study
Baltimore Ecosystem Study Data and Metadata
This is a Baltimore Ecosystem Study Metadata Record
Please see the BES Information Management Policy online at: beslter.org/dm_policy.html
For assistance contact Jonathan Walsh, Information Manager, 845.677.5343, walshj@caryinstitute.org.
RecordIDBES_169
ID
PublicationDate12/31/2009
TitleIKONOS Image (Pan-Shapened, False Natural Color), Baltimore City
EditionFirst
Publication PlaceBurlington, VT
PublisherUVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J.
Online Linkagehttp://beslter.org/geodatabase_SAL
AbstractFalse natural color pan-sharpened 4-band IKONOS satellite imagery for Baltimore City acquired on 02 Oct 2001. In this false natural color image the NIR, red, and green bands were used to create an image that approximates natural color yet is more asthetically appealing. Display R-G-B as 1-2-3. The advantage is that vegetation appears more green, but developed features may have a hint of purple. The composite pan-sharpened image was created by merging adjacent IKONOS multispectral (4m) and panchromatic (1m), color balancing them, then running a pan-sharpending algorithem specifically designed for 11-bit IKONOS imagery. Following pan-sharpening a natural color algorithm was run to create the 3-band false natural color image. Refer to the enclosed documentation for the Space Imaging metadata.
PurposeBES research.
Supplemental Info
Is GIS (1 yes 0 no)?1
West-77.314183
East-76.012008
North39.724847
South38.708367
Presentation Formremote-sensing image
Data CreditUVM Spatial Analysis Lab
Reference NameJarlath O'Neil-Dunne
Reference PlaceUVM Spatial Analysis Lab
Reference EMailjoneildu@uvm.edu
Theme KeywordsLand, IKONOS, BES, Satellite, Imagery,
Place KeywordsBaltimore, MSA, Maryland,

Projection/datum/units: UTM Zone 18/NAD 83/meters

The metadata provided for these data is in Ecological Metadata Language (EML) format. Information on EML is online:
http://en.wikipedia.org/wiki/Ecological_Metadata_Language
http://knb.ecoinformatics.org/software/eml/

Please contact Jonathan Walsh, BES Information Manager WalshJ@CaryInstitute.org with questions or comments.

This research was supported by funding from the NSF Long-term Ecological Research (LTER) Program. This material is based upon work supported by the National Science Foundation under Grant No. 0423476. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

These data are made available for scientific interests that agree to cite the data and source appropriately. There is a time between the collection of most of these data and their subsequent availability via this website in order to give the investigator adequate time to present findings in scientific literature.

Users are requested to notify the publisher of the purpose of data use and acknowledge the source if used in a publication. No commercial use is permitted. The publisher disclaims any responsibility for errors that may or may not exist within the data, and the user assumes all responsibility for errors in analysis or judgment associated with the data.