Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/17425
Title: The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopy
Contributor(s): Rahman, Muhammad Moshiur  (author)orcid ; Lamb, David  (author); Stanley, John  (author)
Publication Date: 2015
DOI: 10.1016/j.agrformet.2014.12.001
Handle Link: https://hdl.handle.net/1959.11/17425
Abstract: The fraction of absorbed photosynthetically active radiation (fAPAR) for plant canopies is often inferred from top-of-canopy, spectral reflectance, vegetation indices like the normalized difference vegetation index (NDVI). Such measures are derived using passive optical sensors and solar illumination of the canopy. However both the passive sensor-derived NDVI and the accompanying fAPAR measurements are affected by the solar elevation angle (θs). In many cases the effect of θs on both NDVI and fAPAR measurements is similar and the effect of θs is often cancelled out. The new class of active optical sensors (AOS) that contain their own radiant light sources to produce equivalent measurements of NDVI are not influenced by θs even though the accompanying values of fAPAR, as derived using a passive sensor are. This means the fAPAR–NDVIAOS relationship will invariably be sensitive to θs. By way of example, this paper investigates the correlations between the NDVIAOS and fAPAR under conditions of varying solar illumination angle for a tall fescue (Festuca arundinacea) pasture. The NDVIAOS was observed to retain a strong linear correlation with fAPAR (R2 ≥ 0.85) but fAPAR was highly sensitive to θs. Subsequently, simple models can be utilized to predict the fAPAR-NDVIAOS relationship for any solar elevation angle between 30 and 80°.
Publication Type: Journal Article
Source of Publication: Agricultural and Forest Meteorology, v.202, p. 39-43
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1873-2240
0168-1923
Fields of Research (FoR) 2008: 070304 Crop and Pasture Biomass and Bioproducts
070104 Agricultural Spatial Analysis and Modelling
Fields of Research (FoR) 2020: 300405 Crop and pasture biomass and bioproducts
300206 Agricultural spatial analysis and modelling
Socio-Economic Objective (SEO) 2008: 830406 Sown Pastures (excl. Lucerne)
Socio-Economic Objective (SEO) 2020: 100505 Sown pastures (excl. lucerne)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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