David Sheeren
David Sheeren
Associate Professor, Toulouse INP-ENSAT, Engineering Faculty of Life Sciences, DYNAFOR Lab.
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Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series
A Jacquin, D Sheeren, JP Lacombe
International Journal of Applied Earth Observation and Geoinformation 12, S3-S10, 2010
Modelling and simulating change in reforesting mountain landscapes using a social-ecological framework
A Gibon, D Sheeren, C Monteil, S Ladet, G Balent
Landscape Ecology 25 (2), 267-285, 2010
Automatic building extraction in VHR images using advanced morphological operators
S Lefèvre, J Weber, D Sheeren
Urban Remote Sensing Joint Event, 2007, 1-5, 2007
Tree species classification in temperate forests using Formosat-2 satellite image time series
D Sheeren, M Fauvel, V Josipović, M Lopes, C Planque, J Willm, ...
Remote Sensing 8 (9), 734, 2016
Discriminating small wooded elements in rural landscape from aerial photography: a hybrid pixel/object-based analysis approach
D Sheeren, N Bastin, A Ouin, S Ladet, G Balent, JP Lacombe
International Journal of Remote Sensing 30 (19), 4979-4990, 2009
A conceptual framework for the governance of multiple ecosystem services in agricultural landscapes
A Vialatte, C Barnaud, J Blanco, A Ouin, JP Choisis, E Andrieu, ...
Landscape Ecology 34 (7), 1653-1673, 2019
How to integrate heterogeneous spatial databases in a consistent way?
D Sheeren, S Mustière, JD Zucker
East European Conference on Advances in Databases and Information Systems …, 2004
Combined effects of area, connectivity, history and structural heterogeneity of woodlands on the species richness of hoverflies (Diptera: Syrphidae)
PA Herrault, L Larrieu, S Cordier, U Gimmi, T Lachat, A Ouin, JP Sarthou, ...
Landscape ecology 31 (4), 877-893, 2016
A data‐mining approach for assessing consistency between multiple representations in spatial databases
D Sheeren, S Mustière, JD Zucker
International journal of geographical information science 23 (8), 961-992, 2009
Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery
D Sheeren, M Fauvel, S Ladet, A Jacquin, G Bertoni, A Gibon
2011 IEEE International Geoscience and Remote Sensing Symposium, 3672-3675, 2011
Mapping tree species of forests in southwest France using Sentinel-2 image time series
N Karasiak, D Sheeren, M Fauvel, J Willm, JF Dejoux, C Monteil
2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017
Modeling bird communities using unclassified remote sensing imagery: Effects of the spatial resolution and data period
D Sheeren, S Bonthoux, G Balent
Ecological Indicators 43, 69-82, 2014
Object-based classification of grasslands from high resolution satellite image time series using Gaussian mean map kernels
M Lopes, M Fauvel, S Girard, D Sheeren
Remote Sensing 9 (7), 688, 2017
A comparative study of geometric transformation models for the historical" Map of France" registration
PA Herrault, D Sheeren, M Fauvel, C Monteil, M Paegelow
Geographia Technica, pp. 34-46, 2013
Evaluating the spatial uncertainty of future land abandonment in a mountain valley (Vicdessos, Pyrenees-France): Insights from model parameterization and experiments
T Houet, L Vacquié, D Sheeren
Journal of Mountain Science 12 (5), 1095-1112, 2015
Detection of hedges in a rural landscape using a local orientation feature: from linear opening to path opening
M Fauvel, B Arbelot, JA Benediktsson, D Sheeren, J Chanussot
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012
Consistency assessment between multiple representations of geographical databases: a specification-based approach
D Sheeren, S Mustière, JD Zucker
Developments in Spatial Data Handling, 617-628, 2005
Discovering rules with genetic algorithms to classify urban remotely sensed data
D Sheeren, A Quirin, A Puissant, P Gancarski, C Weber
2006 IEEE International Symposium on Geoscience and Remote Sensing, 3919-3922, 2006
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-2
Y Hamrouni, E Paillassa, V Chéret, C Monteil, D Sheeren
ISPRS Journal of Photogrammetry and Remote Sensing 171, 76-100, 2021
Automatic extraction of forests from historical maps based on unsupervised classification in the CIELab color space
PA Herrault, D Sheeren, M Fauvel, M Paegelow
Geographic information science at the heart of Europe, 95-112, 2013
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