Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Thierry Koleck"'
Autor:
Stephane Mermoz, Juan Doblas Prieto, Milena Planells, David Morin, Thierry Koleck, Florian Mouret, Alexandre Bouvet, Thuy Le Toan, David Sheeren, Yousra Hamrouni, Thierry Belouard, Eric Paillassa, Marion Carme, Michel Chartier, Simon Martel, Jean-Baptiste Feret
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13743-13764 (2024)
Remote sensing satellites allow large-scale and fast detections of forest loss. Operational forest loss detection systems have been mainly developed over tropical forests; however, it is increasingly important to have access to accurate and up-to-dat
Externí odkaz:
https://doaj.org/article/9c5a706b04d544e396e73ec3931a8bca
Autor:
Mhamad El Hage, Ludovic Villard, Yue Huang, Laurent Ferro-Famil, Thierry Koleck, Thuy Le Toan, Laurent Polidori
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4173 (2022)
The penetration capability of P-band radar waves through dense vegetation, along with the ability of tomography to separate the contributions of different layers in a vertical reflectivity profile, make P-band radar tomography a promising tool for di
Externí odkaz:
https://doaj.org/article/300ff7c82f954be5972b67265a34acc9
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4877 (2021)
In this study, we demonstrate the ability of a new operational system to detect forest loss at a large scale accurately and in a timely manner. We produced forest loss maps every week over Vietnam, Cambodia, and Laos (>750,000 km2 in total) using Sen
Externí odkaz:
https://doaj.org/article/59d7f3d5649b4519ae6bad234459f86c
Autor:
Colette Gelas, Ludovic Villard, Laurent Ferro-Famil, Laurent Polidori, Thierry Koleck, Sandrine Daniel
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 142 (2021)
The purpose of this paper is twofold, considering first the generalization of a multichannel speckle filter in order to handle temporal stacks of polarimetric SLC SAR data, and secondly the development of an ad hoc performance indicator based on the
Externí odkaz:
https://doaj.org/article/6d0df29fdcad42cfb9d0df2b18237a13
Autor:
Pierre-Louis Frison, Bénédicte Fruneau, Syrine Kmiha, Kamel Soudani, Eric Dufrêne, Thuy Le Toan, Thierry Koleck, Ludovic Villard, Eric Mougin, Jean-Paul Rudant
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 2049 (2018)
In this study, the potential of Sentinel-1 data to seasonally monitor temperate forests was investigated by analyzing radar signatures observed from plots in the Fontainebleau Forest of the Ile de France region, France, for the period extending from
Externí odkaz:
https://doaj.org/article/d88d0f66f71043a8bac6d66cdc238b66
Publikováno v:
Remote Sensing, Vol 10, Iss 8, p 1250 (2018)
To detect deforestation using Earth Observation (EO) data, widely used methods are based on the detection of temporal changes in the EO measurements within the deforested patches. In this paper, we introduce a new indicator of deforestation obtained
Externí odkaz:
https://doaj.org/article/0a4570e509424d4dbabbeddf413b9447
Autor:
Thuy Le Toan, Benoit Burban, Thierry Koleck, Ludovic Villard, Salma El Idrissi Essebtey, Pierre Borderies
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, ⟨10.1109/TGRS.2021.3082395⟩
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, ⟨10.1109/TGRS.2021.3082395⟩
International audience; Fostered by the upcoming BIOMASS mission, this article explores long-term trends of P-band temporal decorrelation over a tropical forest due to a time series of 617 days acquired during the TropiScat-2 experiment. The interest
Publikováno v:
IGARSS
This aims to compare the performance of different observations modes of the future BIOMASS mission for the characterization of tropical forests. In particular, it provides indicators of variability for different typical descriptors of the SAR respons
Autor:
T. Le Toan, Arnaud Mialon, Y. H. Kerr, Thierry Koleck, M. Gati, M. el Boudali, J. P. Wigneron, Ludovic Villard, François Demontoux
Publikováno v:
IGARSS
The effects of dry and fresh matter on microwave remote sensing data represent a great challenge, for which vegetation permittivity models are essential. To develop this model, in situ permittivity sensors are needed. There are few commercial equipme
Over the last 25 years, the world’s forests have undergone substantial changes. Deforestation and forest degradation in particular contribute greatly to biodiversity loss through habitat destruction, soil erosion, terrestrial water cycle disturbanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc9e25b7025436e5f906e4e1260d129
https://doi.org/10.5194/egusphere-egu21-16177
https://doi.org/10.5194/egusphere-egu21-16177