David Sheeren
David Sheeren
Associate Professor, Toulouse INP-ENSAT, Engineering Faculty of Life Sciences, DYNAFOR Lab.
Verified email at - Homepage
Cited by
Cited by
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
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
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
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, 1653-1673, 2019
Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing
N Karasiak, JF Dejoux, C Monteil, D Sheeren
Machine Learning 111 (7), 2715-2740, 2022
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
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, 877-893, 2016
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
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
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
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
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
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
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, 34-46, 2013
Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach
J Aval, J Demuynck, E Zenou, S Fabre, D Sheeren, M Fauvel, K Adeline, ...
ISPRS Journal of Photogrammetry and Remote Sensing 146, 197-210, 2018
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
Spatial and temporal dependency of NDVI satellite imagery in predicting bird diversity over France
S Bonthoux, S Lefèvre, PA Herrault, D Sheeren
Remote Sensing 10 (7), 1136, 2018
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, 1095-1112, 2015
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