François Waldner

发表

Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model

Patrick Bogaert, Pierre Defourny, Emilie Bériaux, 2015, Remote. Sens..

An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

David Morin, Jordi Inglada, Guadalupe Sepulcre-Cantó, 2015, Remote. Sens..

A comparison of global agricultural monitoring systems and current gaps

Ian McCallum, Linda See, Bingfang Wu, 2019, Agricultural Systems.

National-scale cropland mapping based on spectral-temporal features and outdated land cover information

Pierre Defourny, François Waldner, Matthew C Hansen, 2017, PloS one.

Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series

Olena Dubovyk, Fabian Löw, François Waldner, 2018, Remote. Sens..

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data pdf

Peter Caccetta, Chen Wu, François Waldner, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Cropland Mapping over Sahelian and Sudanian Agrosystems: A Knowledge-Based Approach Using PROBA-V Time Series at 100-m

Marie-Julie Lambert, Pierre Defourny, François Waldner, 2016, Remote. Sens..

Defining the accuracy requirements for pixel counting to be competitive with conventional statistical area estimates

François Waldner, Pierre Defourny, 2017 .

Where can pixel counting area estimates meet user-defined accuracy requirements?

Pierre Defourny, François Waldner, P. Defourny, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods

Yang Chen, François Waldner, Zvi Hochman, 2019, Remote Sensing of Environment.

A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

Steffen Fritz, Fabian Löw, Gerard Hazeu, 2016, Data.

Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection

Julien Radoux, Guillaume Chomé, Pierre Defourny, 2016, Remote. Sens..

Combining expert-based and crowd-sourcing in a two-tier sampling design for validation: global experimental results for cropland maps

Olivier Leo, Linda See, François Waldner, 2017 .

To Blend or Not to Blend? A Framework for Nationwide Landsat-MODIS Data Selection for Crop Yield Prediction

Yang Chen, Tim R. McVicar, François Waldner, 2020, Remote. Sens..

Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps

Steffen Fritz, Antonio Di Gregorio, Pierre Defourny, 2015, Remote. Sens..

Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series

Claire Marais-Sicre, Frédéric Baret, David Morin, 2015, Remote. Sens..

Automated annual cropland mapping using knowledge-based temporal features

François Waldner, Pierre Defourny, Guadalupe Sepulcre Canto, 2015 .

All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods

François Waldner, Zvi Hochman, Jared Fowler, 2020, Int. J. Appl. Earth Obs. Geoinformation.

A multi-disciplinary perspective on emergent and future innovations in peer review

Christina K. Pikas, Marta Poblet, Daniel Graziotin, 2017, F1000Research.

Conflation of expert and crowd reference data to validate global binary thematic maps

Olivier Leo, Linda See, Gerard Hazeu, 2019, Remote Sensing of Environment.

The T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability Samples

François Waldner, F. Waldner, 2020, Remote. Sens..

Using Crowdsourcing Datasets and Landsat Satellite Data for Cropland Mapping in Different Agrosystems of Global JECAM Network

Mykola Lavreniuk, François Waldner, V. A. Tolpin, 2019 .

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

Frédéric Baret, David Morin, Olivier Hagolle, 2015, Remote. Sens..

Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment

Pierre Defourny, François Waldner, Keith Cressman, 2015, ISPRS Int. J. Geo Inf..

Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network pdf

François Waldner, Foivos Diakogiannis, 2019, ArXiv.

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed

Nataliia Kussul, Serhiy Skakun, Pierre Defourny, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Local adjustments of image spatial resolution to optimize large-area mapping in the era of big data

Pierre Defourny, François Waldner, Grégory Duveiller, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia

Peter Scarth, François Waldner, Zvi Hochman, 2020, Remote. Sens..

A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS

Pierre Defourny, Cécile Renier, François Waldner, 2015, Remote. Sens..

Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images

François Waldner, Foivos I. Diakogiannis, Kathryn Batchelor, 2021, Remote. Sens..

Global Cropland Yield Monitoring with Gaussian Processes

Michele Meroni, Gustau Camps-Valls, Felix Rembold, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data

Astrid Verhegghen, Marijn Van der Velde, François Waldner, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods

François Waldner, Zvi Hochman, Z. Hochman, 2020 .

Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity

Stéphane Dupuy, Nataliia Kussul, Mykola Lavreniuk, 2016 .

Nationwide crop yield estimation based on photosynthesis and meteorological stress indices

Tim R. McVicar, François Waldner, Kavina Dayal, 2020 .

A multi-disciplinary perspective on emergent and future innovations in peer review

Christina K. Pikas, Marta Poblet, Daniel Graziotin, 2017, F1000Research.

A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform

Steffen Fritz, Ian McCallum, Christoph Perger, 2017, Scientific Data.

High temporal resolution of leaf area data improves empirical estimation of grain yield

François Waldner, Zvi Hochman, Heidi Horan, 2019, Scientific Reports.

Sampling to validate a global cropland map .

Javier Gallego, François Waldner, Anne Schucknecht, 2016 .

An information-based criterion to measure pixel-level thematic uncertainty in land cover classifications

Patrick Bogaert, Pierre Defourny, François Waldner, 2017, Stochastic Environmental Research and Risk Assessment.

The impact of training class proportions on binary cropland classification

Fabian Löw, François Waldner, Damien Christophe Jacques, 2017 .