DocumentCode :
484295
Title :
Evaluating the Seasonality of Remote Sensing Indicators of System State for Eucalyptus Grandis Growing on Different Site Qualities
Author :
Cho, Moses Azong ; Van Aardt, Jan ; Majeke, Bongani ; Main, Russel
Author_Institution :
Ecosyst. - Earth Obs. Unit, Council for Sci. & Ind. Res. (CSIR), Pretoria
Volume :
3
fYear :
2008
fDate :
7-11 July 2008
Abstract :
The stability of remote sensing indicators of leaf water, chlorophyll and nutrients to discriminate between Eucalyptus grandis growing on different site qualities in KwaZulu-Natal, South Africa was evaluated for two growing seasons (winter and early summer). Site quality was defined by the total available soil water (TAW). Canopy reflectance spectra for 68 trees (winter) and 45 trees (summer) from good, medium, and poor sites were collected on clear sky days using an ASD spectroradiometer. Two-way analysis of variance showed that the discriminatory capabilities of leaf water, chlorophyll, and nutrient concentrations for E. grandis growing on different site qualities, are seasonal by nature. Leaf water and chlorophyll indices were better indicators of site quality in winter than foliar nutrient concentrations of N, P, and K, which in turn performed better in summer. These results will help to define the sensing timeframe for monitoring E. grandis growth in KwaZulu-Natal.
Keywords :
atmospheric boundary layer; data acquisition; geochemistry; moisture; soil; vegetation mapping; ASD spectroradiometer; Eucalyptus grandis; K; KwaZulu-Natal Midlands; N; P; South Africa; canopy reflectance spectra; chlorophyll concentration; foliar nutrient concentrations; leaf water; remote sensing indicators; total available soil water; tree growing seasons; tree growth site quality; Africa; Analysis of variance; Reflectivity; Remote monitoring; Remote sensing; Soil; Spectroradiometers; Spectroscopy; Variable speed drives; Water storage; Hyperspectral remote sensing; forestry; spectral indices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779390
Filename :
4779390
Link To Document :
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