Skip to main content
Article
Topsoil moisture estimation for precision agriculture using unmanned aerial vehicle multispectral imagery
2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  • Leila Hassan-Esfahani, Utah State University
  • Alfonso F. Torres-Rua, Utah State University
  • Austin Jensen, Utah State University
  • Mac McKee, Utah State University
Document Type
Article
Publisher
IEEE
Publication Date
7-13-2014
Disciplines
Abstract

There is an increasing trend in crop production management decisions in precision agriculture based on observation of high resolution aerial images from unmanned aerial vehicles (UAV). Nevertheless, there are still limitations in terms of relating the spectral imagery information to the agricultural targets. AggieAir™ is a small, autonomous unmanned aircraft which carries multispectral cameras to capture aerial imagery during pre-programmed flights. AggieAir enables users to gather imagery at greater spatial and temporal resolution than most manned aircraft and satellite sources. The platform has been successfully used in support of a wide variety of water and natural resources management areas. This paper presents results of an on-going research in the application of the imagery from AggieAir in the remote sensing of top soil moisture estimations for a large field served by a center pivot sprinkler irrigation system.

Citation Information
Hassan-Esfahani, L; Torres-Rua, A.; Jensen, A.; McKee, M. Topsoil moisture estimation for precision agriculture using unmanned aerial vehicle multispectral imagery. In Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, Canada, 13–18 July 2014; pp. 3263–3266