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Service Description: Last update: November 26, 2014.
Input source: PDFs from the National Archives and the Kansas Historical Society.
Scanned maps were converted from PDF format to a tiff format, which is suitable for manipulation with image processing and GIS software. Township maps were divided into categories based on the geometry of the mapped townships. Regularly shaped townships were identified for automated control-point derivation with a combination of Object Based Image Analysis (OBIA) software processing and MATLAB procedures. An OBIA ruleset was developed to identify the township corners that were then passed to the automated MATLAB procedures for section corner identification. Each identified section corner point was verified visually, and corrected if necessary, to ensure the accuracy of the automated procedures. This process yielded 49 control points per township tying each section corner in the maps to the corresponding geographic coordinates, which were extracted from the Kansas Geological Survey’s LEO Database. Customized Python coding was then used to georeference and clip the tiff maps. Irregularly shaped townships were processed manually with a combination of specialized MATLAB procedures and ArcGIS software.
The forest boundary was digitized off the computer screen using the georeferenced maps.
Funding provided by the Kansas Department of Wildlife, Parks and Tourism (KDWPT) and the Kansas GIS Policy Board.
Map Name: Kansas Historic Forest
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Description:
Copyright Text: Kansas Biological Survey, Kansas Applied Remote Sensing Program
Spatial Reference:
26914
(26914)
Single Fused Map Cache: false
Initial Extent:
XMin: 158382.0713202799
YMin: 4224347.478578937
XMax: 962683.4500636361
YMax: 4548636.657233943
Spatial Reference: 26914
(26914)
Full Extent:
XMin: 231062.54430416512
YMin: 4094801.8048782065
XMax: 890002.9770797507
YMax: 4434162.750956648
Spatial Reference: 26914
(26914)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Kansas Historic Boundary
Author: William Busby
Comments: Last update: November 26, 2014.
Input source: PDFs from the National Archives and the Kansas Historical Society.
Scanned maps were converted from PDF format to a tiff format, which is suitable for manipulation with image processing and GIS software. Township maps were divided into categories based on the geometry of the mapped townships. Regularly shaped townships were identified for automated control-point derivation with a combination of Object Based Image Analysis (OBIA) software processing and MATLAB procedures. An OBIA ruleset was developed to identify the township corners that were then passed to the automated MATLAB procedures for section corner identification. Each identified section corner point was verified visually, and corrected if necessary, to ensure the accuracy of the automated procedures. This process yielded 49 control points per township tying each section corner in the maps to the corresponding geographic coordinates, which were extracted from the Kansas Geological Survey’s LEO Database. Customized Python coding was then used to georeference and clip the tiff maps. Irregularly shaped townships were processed manually with a combination of specialized MATLAB procedures and ArcGIS software.
The forest boundary was digitized off the computer screen using the georeferenced maps.
Funding provided by the Kansas Department of Wildlife, Parks and Tourism (KDWPT) and the Kansas GIS Policy Board.
Subject: This is a dynamic web service.The objective of this project was to digitize the historic forest boundary in the State of Kansas as shown in the US General Office (GLO) paper maps.NAD83 UTM Zone 14N. Spatial reference: 26914
Category:
Keywords: forest,historic,Kansas
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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