DocumentCode
143705
Title
Topsoil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery
Author
Hassan-Esfahani, Leila ; Torres-Rua, Alfonso ; Ticlavilca, Andres M. ; Jensen, Austin ; McKee, Mac
Author_Institution
Utah Water Res. Lab., Utah State Univ., Logan, UT, USA
fYear
2014
fDate
13-18 July 2014
Firstpage
3263
Lastpage
3266
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.
Keywords
autonomous aerial vehicles; crops; moisture measurement; remote sensing; soil; AggieAir; crop production management decision; precision agriculture; spatial resolution; spectral imagery information; temporal resolution; topsoil moisture estimation; unmmaned aerial vehicle multispectral imagery; Agriculture; Estimation; Image resolution; Moisture; Remote sensing; Soil moisture; Unmanned aerial vehicles; AggieAir; High Resolution Imaging; Learning Machines; Remote Sensing; Soil Moisture;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947175
Filename
6947175
Link To Document