Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cédric Véga"'
Autor:
Cédric Véga, Udayalakshmi Vepakomma, Jules Morel, Jean-Luc Bader, Gopalakrishnan Rajashekar, Chandra Shekhar Jha, Jérôme Ferêt, Christophe Proisy, Raphaël Pélissier, Vinay Kumar Dadhwal
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10607-10625 (2015)
Light Detection and Ranging (Lidar) is a state of the art technology to assess forest aboveground biomass (AGB). To date, methods developed to relate Lidar metrics with forest parameters were built upon the vertical component of the data. In multi-la
Externí odkaz:
https://doaj.org/article/8858e35d58a843c581395fba571b6109
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12854-12867 (2024)
The Global Ecosystem Dynamics Investigation (GEDI) mission can significantly enhance multisource national forest inventories (MSNFI) by improving the spatio-temporal resolution of forest attributes while preserving the statistical relevance of the de
Externí odkaz:
https://doaj.org/article/0a17b1cbff194956a17912b5009ec8cc
Autor:
Martin Schwartz, Philippe Ciais, Catherine Ottlé, Aurelien De Truchis, Cedric Vega, Ibrahim Fayad, Martin Brandt, Rasmus Fensholt, Nicolas Baghdadi, François Morneau, David Morin, Dominique Guyon, Sylvia Dayau, Jean-Pierre Wigneron
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103711- (2024)
In intensively managed forests in Europe, where forests are divided into stands of small size and may show heterogeneity within stands, a high spatial resolution (10–––20 m) is needed to capture the differences in canopy height. In this work, w
Externí odkaz:
https://doaj.org/article/f7a1ae044eb142aea4876509614d5c51
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7718-7732 (2023)
Global Ecosystem Dynamics Investigation (GEDI) is a lidar system on-board the International Space Station designed to study forest ecosystems. However, GEDI footprint low accuracy geolocation is a major impediment to the optimal benefit of the data.
Externí odkaz:
https://doaj.org/article/8557402860874a2dafa5099e2032afa3
Autor:
Shaohui Zhang, Cédric Vega, Christine Deleuze, Sylvie Durrieu, Pierre Barbillon, Olivier Bouriaud, Jean-Pierre Renaud
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103072- (2022)
The French National Forest Inventory provides detailed forest information up to large national and regional scales. Forest inventory for small areas of interest within a large population is equally important for decision making, such as for local for
Externí odkaz:
https://doaj.org/article/4ea01ac1e4fc47b5b6fb88a522202a8c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 97, Iss , Pp 102303- (2021)
Combining national forest inventory (NFI) data with auxiliary information allows downscaling and improving the precision of NFI estimates for small domains, where normally too few field plots are available to produce reliable estimates. In most situa
Externí odkaz:
https://doaj.org/article/c5ec2cb16c1d4376911c4f7e3cb461fe
Autor:
Dinesh Babu Irulappa-Pillai-Vijayakumar, Jean-Pierre Renaud, François Morneau, Ronald E. McRoberts, Cédric Vega
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 991 (2019)
Multisource forest inventory methods were developed to improve the precision of national forest inventory estimates. These methods rely on the combination of inventory data and auxiliary information correlated with forest attributes of interest. As t
Externí odkaz:
https://doaj.org/article/6b2f563e3b644243ab7eda9682bec8f3