Calculating Recollision Probability Based on Airborne Lidar data for a Better Understanding of Canopy Radiation Regime-Reference-Cited by-同舟云学术

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Calculating Recollision Probability Based on Airborne Lidar data for a Better Understanding of Canopy Radiation Regime

Published:2024-07-07 Issue: Volume: Page:10634-10637
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

He Siying¹,Qi Jianbo²,Huang Huaguo¹

Affiliation:

1. Beijing Forestry University,Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing,China,100083

2. Beijing Normal University,Innovation Research Center of Satellite Application (IRCSA), Faculty of Geographical Science,Beijing,China,100875

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642677.pdf?arnumber=10642677

Reference13 articles.

1. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data

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

3. Direct estimation of photon recollision probability using terrestrial laser scanning

4. Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

5. Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance

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