Design and analysis of numerical experiments to compare four canopy reflectance models
By Cédric Bacour. 2002
162 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/347cf5513e3009570aee2759b0f9551692f85db2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Jan G. P. W. Clevers
- Michael E. Schaepman
- Clement Atzberger
- Sylvain Jay
- Nathalie Gorretta
- Ryad Bendoula
- F. Maupas
- Katja Berger
In Global and Planetary Change
- Jan G. P. W. Clevers
- Clement Atzberger
- F. Maupas
- Sylvain Jay
- Nathalie Gorretta
- Ryad Bendoula
- Katja Berger
- Z. Malenovsky
In Plant Science
- Raúl Zurita-Milla
- Guido D'Urso
- Wolfram Mauser
- Sylvain Jay
- Allard de Wit
- Wouter A. Dorigo
- Clement Atzberger
- Tobias B. Hank
Citations in the corpus
- A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (2007, methodology): “A wide range of mathematical and statistical approaches is used for finding the minimum, such as Quasi-Newton algorithms (Bacour et al., 2002b), genetic algorithms (de Wit, 1999), and Markov Chain Monte Carlo approaches (Zhang et al., 2005).”
- Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study (2018, methodology): “Simulated reflectance and changing parameter effects of the PROSAIL model agreed well with other 1-D models and even appeared to fit the outputs of more complex models [142].”
- Applicability of the PROSPECT model for Norway spruce needles (2006, methodology): “2002 , Verhoef and Bach 2003 ) and has become an important basis for quantitative RS approaches (Gastellu‐Etchegorry and Bruniquel‐Pinel 2001 , Combal et al.”
- Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping (2017, methodology): “A full orthogonal experimental design (Bacour et al., 2002; Verger et al., 2014) was used to conveniently combine these 7 parameters by (1) subdividing each variation range into 4 equidistant intervals (or classes), (2) sampling every combination of classes once (resulting in 4 7 =16,384…”
- Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation (2006, unknown): “The corresponding various canopy situations are set according to a sampling scheme based on a full orthogonal experimental plan (Bacour et al., 2002).”