Mapping aboveground carbon density of subtropical subalpine dwarf bamboo (Yushania niitakayamensis) vegetation using UAV-lidar

Autor: Hsiao-Lung Pan, Chu-Mei Huang, Cho-ying Huang

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103487- (2023)

Bamboo, a fast-growing vegetation with high carbon sequestration efficiency, is widely distributed across Asia, Central and South America, and Africa. However, mapping aboveground carbon (AGC) density (kgC m−2) in bamboo can be challenging due to t

Externí odkaz: https://doaj.org/article/025850e5f34e45e583ddc9d63bed57dc

Recovery of Forest Canopy Parameters by Inversion of Multispectral LiDAR Data

Autor: Andrew Wallace, Iain Woodhouse, Caroline Nichol

Publikováno v: Remote Sensing, Vol 4, Iss 2, Pp 509-531 (2012)

We describe the use of Bayesian inference techniques, notably Markov chain Monte Carlo (MCMC) and reversible jump MCMC (RJMCMC) methods, to recover forest structural and biochemical parameters from multispectral LiDAR (Light Detection and Ranging) da

Externí odkaz: https://doaj.org/article/7e49634335da4dcb9d7bd98c007418e0

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Recovery of Forest Canopy Parameters by Inversion of Multispectral LiDAR Data

Autor: Iain Woodhouse, Andrew M. Wallace, Caroline Nichol

Publikováno v: Wallace, A, Nichol, C & Woodhouse, I 2012, ' Recovery of forest canopy parameters by inversion of multispectral LiDAR data ', Remote Sensing, vol. 4, no. 2, pp. 509-531 . https://doi.org/10.3390/rs4020509
Remote Sensing; Volume 4; Issue 2; Pages: 509-531
Remote Sensing, Vol 4, Iss 2, Pp 509-531 (2012)

We describe the use of Bayesian inference techniques, notably Markov chain Monte Carlo (MCMC) and reversible jump MCMC (RJMCMC) methods, to recover forest structural and biochemical parameters from multispectral LiDAR (Light Detection and Ranging) da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f31968d385213c63028dd110cdaeacb9
https://doi.org/10.3390/rs4020509

Observing the Forest Canopy with a New Ultra-Violet Compact Airborne Lidar

Autor: Tristan Allouis, Pascal Genau, Patrick Chazette, Joseph Sanak, Denis Loustau, Juan Cuesta, Dominique Guyon, Sylvie Durrieu, Pierre H. Flamant, Cyrille Flamant

Publikováno v: Sensors; Volume 10; Issue 8; Pages: 7386-7403
Sensors
Sensors, 2010, 10 (8), pp.7386-7403. ⟨10.3390/s100807386⟩
Sensors, MDPI, 2010, 10 (8), pp.7386-7403. ⟨10.3390/s100807386⟩
Sensors (10), 7386-7403. (2010)
Sensors, Vol 10, Iss 8, Pp 7386-7403 (2010)
Sensors (Basel, Switzerland)

[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE; International audience; We have developed a new airborne UV lidar for the forest canopy and deployed it in the Landes forest (France). It is the first one that: (i) operates at 355 nm for emitting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89daa97745dc0122b6812cd8d9e52172