James R. Freemantle

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Forest background, consisting of understory, moss, litter, and soil, contributes significantly to optical remote sensing signals from forests in the boreal region. In this paper, we present results of background reflectance retrieval from multiangle highresolution Compact Airborne Spectrographic Imager sensor data over a boreal forest area near Sudbury, ON,(More)
Measurements at more than one angle capture the directional anisotropy of solar radiance reflected from vegetated surfaces. According to our recent research, we propose that the best two view angles for vegetation structural mapping are the following: 1) the hotspot, where the Sun and view directions coincide, and 2) the darkspot, where the sensor sees the(More)
Earth science markup language (ESML) is efficient and effective in representing scientific data in an XML-based formalism. However, features of the data being represented are not accounted for in ESML. Such features might derive from events, identifications, or some other source. In order to account for features in an ESML context, they are considered from(More)
Traditionally, and to a first approximation, annotations can be regarded as comments. In the case of the Web Ontology Language (OWL), this perspective is largely accurate, as annotations are internal constructs included with the language. As internal constructs, annotations in OWL Description Logic (DL) are also constrained to ensure, ultimately, that they(More)
In this study, vegetation cover type classification was investigated using CHRIS data over agricultural scenes acquired across the 2004 growing season. Spectral indices sensitive to crop chlorophyll content and leaf area index were first calculated from CHRIS nadir data in May, June and July. The seasonality of these indices was analyzed and employed to(More)
The development of hyperspectral remote sensing provides an opportunity to considerably improve the accuracy of vegetation species classification, because the fine spectral resolution of hyperspectral remote sensing data offers the potential to discriminate between species with subtle spectral signature differences. The high spectral resolution, on the(More)
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