Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data

By Jochem Verrelst, Michael E. Schaepman, B. Koetz, Mathias Kneubühler. 2008

345 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f34729f8d5b95cb30f69a027f87eb588dbfed3f6

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In Ecology

In Environmental Engineering

In Global and Planetary Change

Citations in the corpus

Multimodal Classification of Remote Sensing Images: A Review and Future Directions (2015, background): “The first one is to consider the angular images as different views of the same objects, and exploit differences in the angular sequence as additional features [56] that convey information about, for example, the lateral sides of the objects (strong off-nadir angles), roof materials (nadir view) [57]”
Earth system science related imaging spectroscopy — an assessment (2009, methodology): “Given that foliage elements and woody elements are subject to vertical and horizontal variability over time, we expect that crown and understory compositional variability will be explicitly integrated in modeling experiments in the future (Verrelst et al., 2008, in revision).”
Inversion of a coupled canopy–atmosphere model using multi-angular top-of-atmosphere radiance data: A forest case study (2011, methodology): “The angular dependency of the traditional vegetation indices has been evaluated (Verrelst et al., 2008) and exploited (Hall et al.”
C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical c-parameter (2011, background): “, Soil Adjusted Vegetation Index, SAVI), with the caution that ratio-based indices still contain topographic and illumination effects (Goodin et al. 2004; Huete et al. 1992; Veraverbeke et al. 2010; Verrelst et al. 2008).”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “Verrelst et al. / ISPRS Journal of Photogrammetry and Remote Sensing xxx (2015) xxx–xxx”
Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content (2011, neutral): “than those wherein the model was initially developed, such as other atmospheric conditions, sensor configurations, sun-target-sensor geometry, or when upscaled from leaf-to-canopy [32,33].”