Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Olivier Martin-Ducup"'
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Autor:
Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, Nidhi Jha, Maxime Réjou-Méchain, Pierre Couteron, Nicolas Barbier, Alonso Alfonso, Ousmane Bako, Patrick Bassama, Debabrata Behera, Pulcherie Bissiengou, Hervé Biyiha, Warren Y. Brockelman, Wirong Chanthorn, Prakash Chauhan, Vinay Kumar Dadhwal, Gilles Dauby, Vincent Deblauwe, Narcis Dongmo, Vincent Droissart, Selvaraj Jeyakumar, Chandra Shekar Jha, Narcisse G. Kandem, John Katembo, Ronald Kougue, Hugo Leblanc, Simon Lewis, Moses Libalah, Maya Manikandan, Olivier Martin-Ducup, Germain Mbock, Hervé Memiaghe, Gislain Mofack, Praveen Mutyala, Ayyappan Narayanan, Anuttara Nathalang, Gilbert Oum Ndjock, Fernandez Ngoula, Rama Rao Nidamanuri, Raphaël Pélissier, Sassan Saatchi, Le Bienfaiteur Sagang, Patrick Salla, Murielle Simo-Droissart, Thomas B. Smith, Bonaventure Sonké, Tariq Stevart, Danièle Tjomb, Donatien Zebaze, Lise Zemagho, Pierre Ploton
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth’s carbon cycle. However, existing large-scale maps o
Externí odkaz:
https://doaj.org/article/3ee02488ffd74698ad35f42978bf1ab3
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-11 (2021)
Abstract Background Individual tree extraction from terrestrial laser scanning (TLS) data is a prerequisite for tree-scale estimations of forest biophysical properties. This task currently is undertaken through laborious and time-consuming manual ass
Externí odkaz:
https://doaj.org/article/3be1689d18a442f7ab0f7346f2a7304a
Autor:
Bastien Vandendaele, Olivier Martin-Ducup, Richard A. Fournier, Gaetan Pelletier, Philippe Lejeune
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4522 (2022)
The emergence of mobile laser scanning (MLS) systems that use simultaneous localization and mapping (SLAM) technology to map their environment opens up new opportunities for characterizing forest structure. The speed and accuracy of data acquisition
Externí odkaz:
https://doaj.org/article/f91c019b65f94c3e9cbbb8a54ac644e3
Autor:
Bastien Vandendaele, Richard A. Fournier, Udayalakshmi Vepakomma, Gaetan Pelletier, Philippe Lejeune, Olivier Martin-Ducup
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2796 (2021)
UAV laser scanning (ULS) has the potential to support forest operations since it provides high-density data with flexible operational conditions. This study examined the use of ULS systems to estimate several tree attributes from an uneven-aged north
Externí odkaz:
https://doaj.org/article/a071ce5a6bb14cec9067532bd7b6cb58
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 173 (2020)
Kernels found in stone pinecones are of great economic value, often surpassing timber income for most forest owners. Visually evaluating cone production on standing trees is challenging since the cones are located in the sun-exposed part of the crown
Externí odkaz:
https://doaj.org/article/d4702d9b765c4bd5a25dff3b0e005729
Publikováno v:
Forests, Vol 9, Iss 11, p 673 (2018)
The material distribution inside tree crowns is difficult to quantify even though it is an important variable in forest management and ecology. The vertical distribution of a relative density index (i.e., vertical profile) of the total, woody, and le
Externí odkaz:
https://doaj.org/article/ff43739091574d6fb61c00fe29886c33
Publikováno v:
In Agricultural and Forest Meteorology 1 May 2017 237-238:184-195
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-11 (2021)
Forest Ecosystems
Forest Ecosystems, 2021, 8 (1), ⟨10.1186/s40663-021-00340-w⟩
Forest Ecosystems, Springer, 2021, 8 (1), ⟨10.1186/s40663-021-00340-w⟩
Forest Ecosystems
Forest Ecosystems, 2021, 8 (1), ⟨10.1186/s40663-021-00340-w⟩
Forest Ecosystems, Springer, 2021, 8 (1), ⟨10.1186/s40663-021-00340-w⟩
International audience; Background: Individual tree extraction from terrestrial laser scanning (TLS) data is a prerequisite for tree-scale estimations of forest biophysical properties. This task currently is undertaken through laborious and time-cons
Autor:
Pierre Ploton, Pasi Raumonen, Raphaël Pélissier, Olivier Martin-Ducup, Nicolas Barbier, Di Wang, Gislain Ii Mofack, Bonaventure Sonké, Pierre Couteron
Publikováno v:
Annals of Botany
Annals of Botany, Oxford University Press (OUP), 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩
Ann Bot
Annals of Botany, 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩
Annals of Botany, Oxford University Press (OUP), 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩
Ann Bot
Annals of Botany, 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩
Background and Aims Terrestrial LiDAR scanning (TLS) data are of great interest in forest ecology and management because they provide detailed 3-D information on tree structure. Automated pipelines are increasingly used to process TLS data and extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79c247a688f61cf1482aba0e804d036c
http://hdl.handle.net/20.500.12278/37639
http://hdl.handle.net/20.500.12278/37639
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2020, 3D Forest Structure Observation, 12 (1), pp.173. ⟨10.3390/rs12010173⟩
Remote Sensing; Volume 12; Issue 1; Pages: 173
Remote Sensing, 2020, 3D Forest Structure Observation, 12 (1), pp.173. ⟨10.3390/rs12010173⟩
Remote Sensing, Vol 12, Iss 1, p 173 (2020)
Remote Sensing, MDPI, 2020, 3D Forest Structure Observation, 12 (1), pp.173. ⟨10.3390/rs12010173⟩
Remote Sensing; Volume 12; Issue 1; Pages: 173
Remote Sensing, 2020, 3D Forest Structure Observation, 12 (1), pp.173. ⟨10.3390/rs12010173⟩
Remote Sensing, Vol 12, Iss 1, p 173 (2020)
International audience; Kernels found in stone pinecones are of great economic value, often surpassing timber income for most forest owners. Visually evaluating cone production on standing trees is challenging since the cones are located in the sun-e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::481ae3584d1e60e1684cf6b4b8eaf5a2
https://hal.umontpellier.fr/hal-02459699
https://hal.umontpellier.fr/hal-02459699