Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming

G. B. Senay, A. D. Ward, J. G. Lyon, N. R. Fausey, S. E. Nokes

Research output: Contribution to journalArticlepeer-review

66 Scopus citations

Abstract

Three spatial data sets consisting of high spatial resolution (1 m) remote sensing images acquired in 12 spectral bands, an on-the-go yield map, and a Digital Elevation Model were co-registered and evaluated for spatial variability studies in a Geographic Information Systems environment. Separate on-the-go yield maps were developed for 3, 5, and 12 statistically significant mean yield classes. For each yield class, the corresponding mean spectral and elevation data were extracted. The relationship between mean spectral and yield data was strongly linear (r = 0.99). Also, a strong linear relationship between mean yield and elevation data (r = 0.92) was found. The relationship between the spectral and on-the-go yield data indicated the potential of remote sensing for spatial variability studies.

Original languageEnglish
Pages (from-to)489-495
Number of pages7
JournalTransactions of the ASABE
Volume41
Issue number2
StatePublished - Mar 1998

Keywords

  • DEM
  • GIS
  • On-the-go yield
  • Precision farming
  • Remote sensing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Fingerprint

Dive into the research topics of 'Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming'. Together they form a unique fingerprint.

Cite this