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 :
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