<?xml version="1.0" encoding="UTF-8"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>University of Vermont Spatial Analysis Laboratory</origin>
<pubdate>20201204</pubdate>
<title>landcover_2019_ferguson.tif</title>
<geoform>remote-sensing image</geoform>
</citeinfo>
</citation>
<descript>
<abstract>High resolution land cover dataset for Ferguson Township, Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2019 LiDAR data and 2019 NAIP imagery. Ancillary data sources included GIS data provided by Pennsylvania Spatial Data Access, Ferguson Township, or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2000 and all observable errors were corrected.</abstract>
<purpose>This dataset was developed as part of the Ferguson Township Tree Canopy Survey. As such, it represents a 'top down' mapping perspective in which tree canopy over hanging other features is assigned to the tree canopy class. At the time of its creation this dataset represents the most detailed and accurate land cover dataset for the area.</purpose>
<supplinf>note</supplinf>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>20190925</begdate>
</rngdates>
</timeinfo>
<current>Ferguson Township, Pennsylvania; 2019</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>None planned</update>
</status>
<spdom>
<bounding>
<westbc>-78.085579</westbc>
<eastbc>-77.831356</eastbc>
<northbc>40.816379</northbc>
<southbc>40.691231</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>None</themekt>
<themekey>tree canopy</themekey>
<themekey>Urban</themekey>
<themekey>UTC</themekey>
<themekey>Land cover</themekey>
</theme>
<theme>
<themekt>ISO 19115 Topic Category</themekt>
<themekey>imageryBaseMapsEarthCover</themekey>
</theme>
<place>
<placekt>None</placekt>
<placekey>Ferguson Township</placekey>
<placekey>Centre County</placekey>
<placekey>Pennsylvania</placekey>
</place>
<temporal>
<tempkt>None</tempkt>
<tempkey>2019</tempkey>
</temporal>
</keywords>
<accconst>None</accconst>
<useconst>None</useconst>
<ptcontac>
<cntinfo>
<cntorgp>
<cntorg>University of Vermont Spatial Analysis Laboratory</cntorg>
<cntper>Jarlath O'Neil-Dunne</cntper>
</cntorgp>
<cntpos>Director</cntpos>
<cntaddr>
<addrtype>mailing and physical</addrtype>
<address>Aiken Room 205</address>
<address>81 Carrigan Drive</address>
<city>Burlington</city>
<state>VT</state>
<postal>05405</postal>
<country>US</country>
</cntaddr>
<cntvoice>802-656-3324</cntvoice>
<cntfax>802-656-8683</cntfax>
<cntemail>joneildu@uvm.edu</cntemail>
</cntinfo>
</ptcontac>
<datacred>University of Vermont Spatial Analysis Laboratory in collaboration with SavATree Consulting Group and the Ferguson Township Tree Canopy Survey.</datacred>
<native> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450</native>
</idinfo>
<dataqual>
<logic>Valid raster dataset.</logic>
<complete>Complete coverage for the study area using the most recent boundary data.</complete>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<title>Planimetric data</title>
</citeinfo>
</srccite>
<typesrc>
</typesrc>
<srccitea>Planimetric data</srccitea>
<srccontr>Vector</srccontr>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<title>National Agricultural Imagery Program 4-band data</title>
</citeinfo>
</srccite>
<srcscale>12000</srcscale>
<typesrc>
</typesrc>
<srccitea>NAIP</srccitea>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<title>LiDAR</title>
</citeinfo>
</srccite>
<typesrc>
</typesrc>
<srccitea>LiDAR</srccitea>
</srcinfo>
<procstep>
<procdesc>Object based image analysis (OBIA) using a rule-based expert system</procdesc>
</procstep>
<procstep>
<procdesc>Manual corrections to land cover classification</procdesc>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>Raster</direct>
<rastinfo>
<rasttype>Pixel</rasttype>
<rowcount>90856</rowcount>
<colcount>140654</colcount>
</rastinfo>
</spdoinfo>
<eainfo>
<detailed>
<enttyp>
<enttypl>landcover_2019_ferguson.tif.vat.dbf</enttypl>
<enttypd>UTC</enttypd>
<enttypds>Spatial Analysis Lab, University of Vermont</enttypds>
</enttyp>
<attr>
<attrlabl>OID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Count</attrlabl>
<attrdef># pixels per land cover class</attrdef>
<attrdefs>Internal</attrdefs>
<attrdomv>
<udom>Number of pixels per land cover class</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Value</attrlabl>
<attrdef>Land cover code</attrdef>
<attrdefs>UTC</attrdefs>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Tree Canopy</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>2</edomv>
<edomvd>Grass/Shrub</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>3</edomv>
<edomvd>Bare Soil</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>4</edomv>
<edomvd>Water</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>5</edomv>
<edomvd>Building</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>6</edomv>
<edomvd>Road/Railroad</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
<edom>
<edomv>7</edomv>
<edomvd>Other Paved Surfaces</edomvd>
<edomvds>Spatial Analysis Lab, University of Vermont</edomvds>
</edom>
</attrdomv>
</attr>
</detailed>
<overview>
<eaover>Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads/railroads, and (7) other paved surfaces.</eaover>
</overview>
</eainfo>
<metainfo>
<metd>20201204</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>University of Vermont Spatial Analysis Laboratory</cntorg>
<cntper>Jarlath O'Neil-Dunne</cntper>
</cntorgp>
<cntpos>Director</cntpos>
<cntaddr>
<addrtype>mailing and physical</addrtype>
<address>81 Carrigan Drive</address>
<address>Aiken Center Room 205</address>
<city>Burlington</city>
<state>VT</state>
<postal>05405</postal>
<country>US</country>
</cntaddr>
<cntvoice>802-656-3324</cntvoice>
<cntfax>802-656-8683</cntfax>
<cntemail>joneildu@uvm.edu</cntemail>
</cntinfo>
</metc>
<metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
<mettc>local time</mettc>
</metainfo>
</metadata>
