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_59
ID
PublicationDate12/31/2009
TitleSUFA Vegetation, Baltimore City
Edition2001
Publication PlaceBurlington, VT
PublisherUVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J.
Online Linkagehttp://beslter.org/geodatabase_SAL/Cultural_Features/Cultural_Features.mdb
AbstractBaltimore City vegetation data layer showing grass (1) and trees (2). This is the original raster version of the SUFA vegetation layer produced by MD DNR Forest Service using 2001 IKONOS satellite imagery. The spatial resolution is 1m. See the attached file "BACI_SUFA_veg_paper.pdf" for more information. A vector version of this dataset is available that includes water and other classes. Refer to SUFA_BACI.
PurposeAssessing vegetation within Baltimore City
Supplemental Info
Is GIS (1 yes 0 no)?1
West-77.314183
East-76.012008
North39.724847
South38.708367
Presentation Formremote-sensing image
Data CreditMD DNR Forest Service
Reference NameJarlath O'Neil-Dunne
Reference PlaceUMV Spatial Analysis lab
Reference EMailjoneildu@uvm.edu
Theme KeywordsBiophysical Resources, Flora, Land, BES, LULC, Vegetation, Land Cover,
Place KeywordsBaltimore City, MD, MSA,

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.