Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery

By Clement Atzberger, K. Richter. 2012

185 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/be85d4cd0b3ad52ef718dbe43b1d11b93e290aab

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Citations in the corpus

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data (2012, background): “This approach proved already to be very efficient in physically-based retrievals of canopy LAI and other biophysical variables [68].”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “Spatial and temporal constraints such as the use of information from neighbor pixels in the inversion (Atzberger, 2004; Atzberger and Richter, 2012), or the use of information from a time series of observations (Koetz et al.”
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison (2015, methodology): “, 2014a) until the inversion of radiative transfer methods (Richter et al., 2009; Atzberger and Richter, 2012; Rivera et al., 2013; Laurent et al., 2014; Verrelst et al., 2014).”
Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image (2014, background): “Spatial constraints allow using the information contained in the neighbouring pixels in the inversion (Atzberger, 2004; Atzberger & Richter, 2012; Houborg, Anderson, & Daughtry, 2009), while temporal constraints allowusing the information contained in a time series of remote sensing observations…”
A Bayesian object based approach for estimating vegetation biophysical and biochemical variables from APEX at sensor radiance data (2013, methodology): “The improvement of the performance of the estimationwhen including spatial constraints, however, supports the results of previous studies on synthetic (Atzberger, 2004; Lauvernet et al., 2008) and actual data (Atzberger & Richter, 2012).”