Recovery of forest canopy characteristics through inversion of a complex 3D model

By D. Kimes, J. Gastellu‐Etchegorry, P. Estève. 2002

73 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/979c3cf03bdd5a9c63ef8b487d31151a19bd5081

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Gustau Camps-Valls
2. Jan G. P. W. Clevers
3. José F. Moreno
4. Jochem Verrelst
5. Juan Pablo Rivera
6. Jordi Muñoz-Marí
7. Frank Veroustraete
8. W. Verhoef

In Environmental Engineering

1. Jan G. P. W. Clevers
2. Gustau Camps-Valls
3. Jochem Verrelst
4. José F. Moreno
5. Jordi Muñoz-Marí
6. Frank Veroustraete
7. Juan Pablo Rivera

In Global and Planetary Change

1. Jan G. P. W. Clevers
2. Jochem Verrelst
3. José F. Moreno
4. Gustau Camps-Valls
5. Juan Pablo Rivera

Citations in the corpus

• Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “…Gong et al. (1999) and Danson et al. (2003) inverted LAI from a simulated database; Fang and Liang (2003) and Atzberger (2004) inverted LAI from Landsat ETM imagery; Kimes et al. (2002) inverted a complex 3D model (DART) for a wide range of simulated forest canopies using POLDER-like angular data.”