Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WP-5 LARGE SHARED DATABASES]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Creating and Managing a State-wide GIS Data Base for Evaluating Wildlife Habitats. Dean P. Angelides, Edward C. Murphy, Steven Self

Document type:: Multivolume work

Structure type:: Chapter

DATA ORGANIZATION Before embarking on a project as ambitious as this, it is imperative to have well developed procedures for organizing the data. Because the majority of the source maps were in UTM projection, it was decided to use that as the base projection for the project. The study area, however, spanned two UTM zones, and because the data was far too voluminous to handle as one or two very large coverages, it was determined that the preliminary data compilation and digitizing would be done on the basis of USGS 1:100,000 quadrangles (1 degree longitude by 30 minute latitude). There are 57 1:100,000 quads in the study area, and these proved to be a good compromise in terms of overall data flow, coverage size and extent, and numbers of coverages to be handled. The final coverages are organized into 13 tiles (except for vegetation which is maintained as a single state-wide coverage), each approximately corresponding to 4 1:100,000 quads. The actual boundaries of the tiles are the public land survey township boundaries closest to the quad boundaries. The township lines provide a more logical boundary because of their close correspondence to polygon boundaries in the land ownership data layer. One other key element to data organization is the strict adherence to naming conventions. Not only does this make it possible track the progress of each portion of the data base, but it enables the use of macros for processing at various steps in the data automation process. DATA CAPTURE SEQUENCE Because of the multitude of data sources and the need to have a data base that would integrate vertically, the following sequence was used for data capture: 1) Import existing digital data 2) Digitize Public Land Survey data 3) Digitize Land Ownership from most appropriate source 4) Fill in and verify Land Ownershsip from alternative sources 5) Digitize USFS Land Management Plans For the data sources that did not contain geographic reference, the public land survey grid served as an intermediate reference. The public land survey that had been captured from a controlled source was plotted out at the scale of the source maps along with registration tics. The controlled plot was then "best fit" to the source map using the public land survey as a reference, and the registration tics were pin pricked onto the uncontrolled source map. The source data could then be digitized into its appropriate 1:100,000 quad coverage. To facilitate the edge matching process as well as transfer of geographic control to uncontrolled manuscripts, all data was captured in real world coordinates, and adjacent features within 1:100,000 quads that had been previously digitized were "borrowed" as the digitizing progressed. It was, therefore, essential to keep good records of the status of each 1:100,000 quad. The 1:100,000 quad organization also provided an efficient practical size for frequent editing sessions. The final step in the process was to combine the coverages from each 1:100,000 quad of a given data layer and clip them at the tile boundaries. This process was not done until each quad was digitized, quality checked internally, sent to the representative land owners for verification, edits made, and a final quality check completed. HARDYVARE/SOFTWARE ENVIRONMENT Given the time frame (14 months), the size of the project, and the processing and data storage requirements for building and maintaining this data base, an NFS network proved to be an ideal computing environment. The NFS network included both UNIX workstations (SUN, Data General, and Tektronix) and 386 PC workstations (running PC NFS). This environment allowed distribution of the digitizing and preliminary processing on the PCs, and consolidation and advanced processing on the UNIX machines.

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fullscreen: Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

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