| 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 | 62 | 2022 |
| 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 | 48 | 2017 |
| Statistical stability and spatial instability in mapping forest tree species by comparing 9 years of satellite image time series N Karasiak, JF Dejoux, M Fauvel, J Willm, C Monteil, D Sheeren Remote Sensing 11 (21), 2512, 2019 | 24 | 2019 |
| Dzetsaka Qgis classification plugin N Karasiak URL: https://github. com/nkarasiak/dzetsaka, doi 10, 2016 | 21 | 2016 |
| QGIS et applications en agriculture et forêt N Baghdadi, C Mallet, M Zribi ISTE Group, 2018 | 18 | 2018 |
| Remote Sensing of Distinctive Vegetation in Guiana Amazonian Park N Karasiak, P Perbet QGIS and Applications in Agriculture and Forest, 215-245, 2018 | 16 | 2018 |
| dzetsaka: Classification tool N Karasiak Github,< https://github. com/nkarasiak/dzetsaka>(Dec. 2021), 2017 | 11 | 2017 |
| Optimal dates for deciduous tree species mapping using full years Sentinel-2 time series in south west France N Karasiak, M Fauvel, JF Dejoux, C Monteil, D Sheeren ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 7 | 2020 |
| Museo ToolBox: A Python library for remote sensing including a new way to handle rasters. N Karasiak Journal of Open Source Software 5 (48), 1978, 2020 | 6 | 2020 |
| Cartographie des végétations particulières du Parc amazonien de Guyane K Nicolas | 2 | 2016 |
| Historical Map: un plug-in expérimental QGIS pour la vectorisation de l'occupation des sols dans les minutes de la carte d’État-Major datant du 19ème siècle N Karasiak, AC Dereclenne, PA Herrault, M Fauvel, S Ladet, D Sheeren Journée technique INRA en géo-informatique, 14 p., 2016 | 1 | 2016 |
| Cartographie des essences forestières à partir de séries temporelles d’images satellitaires à hautes résolutions: stabilité des prédictions, autocorrélation spatiale et … N Karasiak Institut National Polytechnique de Toulouse-INPT, 2020 | | 2020 |
| Tree species reference samples in southwest of France N Karasiak, W Jérôme, D Sheeren https://doi.org/10.3390/rs11212512, 2019 | | 2019 |
| The phenology of trees: a must-have to map our forests? N Karasiak Forêt-Entreprise, 20-24, 2019 | | 2019 |
| La phénologie des arbres: une donnée incontournable pour cartographier nos forêts? N Karasiak Forêt entreprise, 20-24, 2019 | | 2019 |
| Is ground-based phenology of deciduous tree species consistent with the temporal pattern observed from sentinel-2 time series? N Karasiak, D Sheeren, J Dejoux, JB Feret, J Willm, C Monteil ForestSAT 2018, 192 p., 2018 | | 2018 |
| Monitoring and understanding the green-leaf phenology of tree species with Sentinel-2 N Karasiak, D Sheeren, J Dejoux, J Willm, C Monteil THEIA Workshop for Sentinel-2 L2A MAJA products, 46 p., 2018 | | 2018 |
| Télédétection des formations végétales particulières de la forêt amazonienne guyanaise N Karasiak, P Perbet QGIS et applications en agriculture et forêt, 374 p., 2018 | | 2018 |
| Cartographie des formations végétales particulières, dans le Parc amazonien de Guyane. P Perbet, N Karasiak, P Joubert | | 2016 |
| Cartographie des formations végétales particulières observables via télédétection P Perbet, N Karasiak, P Joubert | | |
David SheerenAssociate Professor, Toulouse INP-ENSAT, Engineering Faculty of Life Sciences, DYNAFOR Lab.Verified email at ensat.fr
