DocumentCode :
3063571
Title :
Hyperspectral assesments of condition and species composition of Australian grasslands
Author :
Watson, Christopher J. ; Restrepo Coupe, Natalia ; Huete, Alfredo R.
Author_Institution :
Univ. of Technol., Sydney, NSW, Australia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2770
Lastpage :
2773
Abstract :
Temperate grasslands in Australia show dynamic responses to climate, which renders them difficult to study using conventional remote sensing tools. However, the need to adequately describe native grassland variables is critical in maintaining ecological and agricultural values. We used a spectroradiometer to measure leaf-and canopy-level spectra from grassland plots in a controlled environment and compared results to fractional cover and species type. We found that the target species, Themeda australis and Poa labillardierei were separable at canopy and leaf level for both healthy and senescent foliage. In particular, we found differences in the 470-510 nm and 660-700 nm spectral regions. Comparison of narrow band vegetation indices for different combinations of photosynthetic and non-photosynthetic material showed strong relationships across a range of fractional cover values which was co-linear for both species. This method demonstrates the potential for remote sensing to identify Australian grasslands of different quality and composition.
Keywords :
ecology; environmental factors; hyperspectral imaging; vegetation mapping; Australian grassland condition; Australian grassland species composition; Poa labillardierei; Themeda australis; canopy level spectra; grassland fractional cover; grassland plots; grassland species type; hyperspectral grassland assessment; leaf level spectra; native grassland variables; nonphotosynthetic material; photosynthetic material; spectroradiometer; temperate grasslands; wavelength 470 nm to 510 nm; wavelength 660 nm to 700 nm; Australia; Hyperspectral imaging; Indexes; Reflectivity; Vegetation mapping; Australia; grasses; hyperspectral sensors; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723398
Filename :
6723398
Link To Document :
بازگشت