DocumentCode :
410449
Title :
Time series analysis of EO-1 Hyperion data for yield estimation at an agricultural site
Author :
Datt, Bisun ; Jupp, David L. B. ; McVicar, T.R.
Author_Institution :
CSIRO, Canberra, ACT, Australia
Volume :
1
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
564
Abstract :
A time series of EO-1 Hyperion images was acquired over the 2001/2002 summer growing season at the Coleambally Irrigation Area in Australia. This data, in conjunction with other remotely sensed and ancillary datasets collected over the site, is being used to develop a range of applications in precision agriculture. This paper evaluates the potential of Hyperion hyperspectral data for providing improved yield prediction. A number of hyperspectral indices were derived from a processed Hyperion images and compared with the rice yield data over several paddocks. Results show that new hyperspectral indices such as the first derivative value and wavelength position of the red edge inflection point are more sensitive to within-paddock variations in yield than commonly used indices such as NDVI. It was also shown that the relationship between indices and yield varied among the paddocks. The influence of standing water during the early growth stages and early senescing and evergreen weeds in mid to late season on the spectral signal poses challenges in the development of yield prediction models for irrigated rice.
Keywords :
agriculture; data analysis; remote sensing; time series; AD 2001; Ad 2002; Australia; Coleambally Irrigation Area; EO-1 Hyperion data; Hyperion images; NDVI; agricultural yield estimation; evergreen weeds; growing season; growth stages; hyperspectral data; hyperspectral indices; irrigated rice; precision agriculture; red edge inflection point; remote sensing; rice yield data; senescing; standing water; summer season; time series analysis; Agriculture; Australia; Crops; Hyperspectral imaging; Hyperspectral sensors; Irrigation; Reflectivity; Remote sensing; Time series analysis; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1293843
Filename :
1293843
Link To Document :
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