Anita Simic

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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 high-resolution Compact Airborne Spectrographic Imager sensor data over a boreal forest area near Sudbury,(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)
1. INTRODUCTION Rapid developments in multi-angle remote sensing technologies over the last two decades provide new opportunities for mapping vegetation structural parameters, which are needed for various ecological and climate change studies. Measurements at more than one angle capture the directional anisotropy of solar radiance reflected from vegetated(More)
We attempt to test the refined concept of combining multi-angle and hyperspectral remote sensing proposed by [1] using airborne data. The concept proposes a system that acquires hyperspectral signals only in the nadir direction and measures in two additional directions in two spectral bands, red and NIR. It has been successfully demonstrated that the(More)
1. INTRODUCTION High spectral, spatial and directional resolution imagery from CHRIS can be used to retrieve forest structural parameters over the Greater Victoria Watershed District (GVWD), Vancouver Island, British Columbia, Canada. This analysis requires an understanding of the anisotropic nature of forest canopies as measured by spaceborne hyperspectral(More)
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