<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Alan Belward</dc:contributor>
  <dc:contributor>Thomas Loveland</dc:contributor>
  <dc:contributor>Joseph Scepan</dc:contributor>
  <dc:contributor>Alan H. Strahler</dc:contributor>
  <dc:contributor>John B. Townshend</dc:contributor>
  <dc:contributor>Chris Justice</dc:contributor>
  <dc:creator>John Estes</dc:creator>
  <dc:date>1999</dc:date>
  <dc:description>&lt;p&gt;This paper focuses on the lessons hearned in the conduct of the lnternational Geosphere Biosphere Program's Data and Information System (rcnr-nts), global 1-km Land-Cover Mapping Project (n$cover). There is stiLL considerable fundamental research to be conducted dealing with the development and validation of thematic geospatial products derived from a combination of remotely sensed and ancillary data. Issues include database and data product development, classification legend definitions, processing and analysis techniques, and sampling strategies. A significant infrastructure is required to support an effort such as DISCover. The infrastructure put in place under the auspices of the IGBP-DIS serves as a model, and must be put in place to enable replication and development of projects such as Discover.&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:publisher>ASPRS</dc:publisher>
  <dc:title>The way forward</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>