François Waldner
Cited by
Cited by
The academic, economic and societal impacts of Open Access: an evidence-based review
JP Tennant, F Waldner, DC Jacques, P Masuzzo, LB Collister, ...
F1000Research 5, 2016
A multi-disciplinary perspective on emergent and future innovations in peer review
JP Tennant, JM Dugan, D Graziotin, DC Jacques, F Waldner, D Mietchen, ...
F1000Research 6, 2017
Automated annual cropland mapping using knowledge-based temporal features
F Waldner, GS Canto, P Defourny
ISPRS Journal of Photogrammetry and Remote Sensing 110, 1-13, 2015
An automated method for annual cropland mapping along the season for various globally-distributed agrosystems using high spatial and temporal resolution time series
N Matton, GS Canto, F Waldner, S Valero, D Morin, J Inglada, M Arias, ...
Remote Sensing 7 (10), 13208-13232, 2015
A comparison of global agricultural monitoring systems and current gaps
S Fritz, L See, JCL Bayas, F Waldner, D Jacques, I Becker-Reshef, ...
Agricultural systems 168, 258-272, 2019
Sentinel-2’s potential for sub-pixel landscape feature detection
J Radoux, G Chomé, DC Jacques, F Waldner, N Bellemans, N Matton, ...
Remote Sensing 8 (6), 488, 2016
Mapping priorities to focus cropland mapping activities: Fitness assessment of existing global, regional and national cropland maps
F Waldner, S Fritz, A Di Gregorio, P Defourny
Remote Sensing 7 (6), 7959-7986, 2015
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
F Waldner, D De Abelleyra, SR Verón, M Zhang, B Wu, D Plotnikov, ...
International Journal of Remote Sensing 37 (14), 3196-3231, 2016
Resunet-a: a deep learning framework for semantic segmentation of remotely sensed data
FI Diakogiannis, F Waldner, P Caccetta, C Wu
ISPRS Journal of Photogrammetry and Remote Sensing 162, 94-114, 2020
Cropland mapping over Sahelian and Sudanian agrosystems: A knowledge-based approach using PROBA-V time series at 100-m
MJ Lambert, F Waldner, P Defourny
Remote Sensing 8 (3), 232, 2016
A generic algorithm to estimate LAI, FAPAR and FCOVER variables from SPOT4_HRVIR and Landsat sensors: Evaluation of the consistency and comparison with ground measurements
W Li, M Weiss, F Waldner, P Defourny, V Demarez, D Morin, O Hagolle, ...
Remote Sensing 7 (11), 15494-15516, 2015
Land cover and crop type classification along the season based on biophysical variables retrieved from multi-sensor high-resolution time series
F Waldner, MJ Lambert, W Li, M Weiss, V Demarez, D Morin, ...
Remote Sensing 7 (8), 10400-10424, 2015
Mapping cropland abandonment in the Aral Sea Basin with MODIS time series
F Löw, AV Prishchepov, F Waldner, O Dubovyk, A Akramkhanov, ...
Remote Sensing 10 (2), 159, 2018
Maize leaf area index retrieval from synthetic quad pol SAR time series using the water cloud model
E Bériaux, F Waldner, F Collienne, P Bogaert, P Defourny
Remote Sensing 7 (12), 16204-16225, 2015
A unified cropland layer at 250 m for global agriculture monitoring
F Waldner, S Fritz, A Di Gregorio, D Plotnikov, S Bartalev, N Kussul, ...
Data 1 (1), 3, 2016
A dynamic vegetation senescence indicator for near-real-time desert locust habitat monitoring with MODIS
C Renier, F Waldner, DC Jacques, MA Babah Ebbe, K Cressman, ...
Remote Sensing 7 (6), 7545-7570, 2015
Operational monitoring of the Desert Locust habitat with Earth Observation: An assessment
F Waldner, MAB Ebbe, K Cressman, P Defourny
ISPRS International Journal of Geo-Information 4 (4), 2379-2400, 2015
National-scale cropland mapping based on spectral-temporal features and outdated land cover information
F Waldner, MC Hansen, PV Potapov, F Löw, T Newby, S Ferreira, ...
PloS one 12 (8), e0181911, 2017
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
JCL Bayas, M Lesiv, F Waldner, A Schucknecht, M Duerauer, L See, ...
Scientific data 4 (1), 1-10, 2017
Regional-scale monitoring of cropland intensity and productivity with multi-source satellite image time series
F Löw, C Biradar, O Dubovyk, E Fliemann, A Akramkhanov, ...
GIScience & Remote Sensing 55 (4), 539-567, 2018
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