INTEGRATING VECTOR AND SATELLITE DATA TO EVALUATE THE ADEQUACY OF A GRAIN SILO NETWORK.

E. J. Van Vuuren, P. A.J. Van Rensburg, S. H. Von Solms

Research output: Contribution to conferencePaperpeer-review

Abstract

A computerized method for preparing vector type geocoded geographical data to be overlayed onto a Landsat 4 MSS image is described. The geographical data sets consisted of (i) silo range boundaries digitized from 1:250,000 maps, and (ii) soil potential contours generated by computer-aided modeling procedures. These geocoded geographical data were initially in a vector format, i. e. , line segments represented by their coordinates. After rasterizing the geocoded data sets they were overlayed on to classification maps generated from the Landsat data with the purpose of calculating potential grain production per silo range.

Original languageEnglish
Pages1287-1290
Number of pages4
Publication statusPublished - 1986

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'INTEGRATING VECTOR AND SATELLITE DATA TO EVALUATE THE ADEQUACY OF A GRAIN SILO NETWORK.'. Together they form a unique fingerprint.

Cite this