Agriculture field characterization using aerial photograph and satellite imagery

Author

Basnyat, Prakash ; McConkey, Brian ; Meinert, Brett ; Gatkze, Craig ; Noble, Garry

Author_Institution

Res. Branch, Agric. & Agri-Food Canada, Swift Current, Canada

Volume

1

Issue

1

fYear

2004

Firstpage

7

Lastpage

10

Abstract

Successfully delineating management zones that differ in crop productivity is an important component of site-specific management. We compared the effectiveness of the digitally scanned color aerial infrared photographs and digital Landsat Thematic Mapper (TM) data for delineating within-field zones. The zones delineated using normalized difference vegetation index (NDVI) from TM data explained 34% of field yield variance compared with 9% for that from digitally scanned color aerial infrared photograph data. The zones from NDVI using Landsat TM were better able to capture spatial differences in plant growth and relatively stable soil attribute of surface soil organic carbon.

Keywords

crops; infrared imaging; photogrammetry; vegetation mapping; Canada; Saskatchewan; Shaunavon; Triticum aestivum; aerial photograph; agriculture field characterization; crop productivity; delineating management zones; digital Landsat Thematic Mapper data; digitally scanned color aerial infrared photographs; satellite imagery; site specific management; soil attribute; spring wheat; surface soil organic carbon; Agriculture; Carbon capture and storage; Clustering algorithms; Crops; Fertilizers; Productivity; Remote sensing; Satellites; Surface soil; Vegetation mapping;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2003.822313

Filename

1265751