Simple analytical formula for calculating average photon recollision probability in vegetation canopies

By Pauline Stenberg. 2007

96 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f293ea361e2465f133d6009ca365dbad6ef37dd0

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. Valerie C. E. Laurent
2. Michael E. Schaepman
3. Jan G. P. W. Clevers
4. W. Verhoef
5. Yuri Knyazikhin
6. Arindam Samanta
7. Mitchell A. Schull
8. Liang Xu

In Environmental Engineering

1. Valerie C. E. Laurent
2. Michael E. Schaepman
3. Jan G. P. W. Clevers
4. W. Verhoef
5. Yuri Knyazikhin
6. Arindam Samanta
7. Mitchell A. Schull
8. Liang Xu

In Global and Planetary Change

1. Jan G. P. W. Clevers
2. Michael E. Schaepman
3. Valerie C. E. Laurent
4. W. Verhoef
5. Yuri Knyazikhin
6. Arindam Samanta
7. Mitchell A. Schull
8. Liang Xu

Citations in the corpus

• Canopy spectral invariants. Part 1: A new concept in remote sensing of vegetation (2011, methodology): “To obtain the second model, the escape factor at 7 AirMISR view angles using Eq.”
• Inversion of a coupled canopy–atmosphere model using multi-angular top-of-atmosphere radiance data: A forest case study (2011, background): “In addition, SLC includes only crown level clumping,whereas branch and shoot level clumping play an important role in coniferous stands by increasing the trapping of photons in the canopy (Stenberg, 2007).”