François Waldner
Orcid: 0000-0002-5599-7456
According to our database1,
François Waldner
authored at least 27 papers
between 2015 and 2022.
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Bibliography
2022
Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision.
Remote. Sens., 2022
2021
Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images.
Remote. Sens., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia.
Remote. Sens., 2020
The T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability Samples.
Remote. Sens., 2020
Remote. Sens., 2020
To Blend or Not to Blend? A Framework for Nationwide Landsat-MODIS Data Selection for Crop Yield Prediction.
Remote. Sens., 2020
All pixels are useful, but some are more useful: Efficient <i>in situ</i> data collection for crop-type mapping using sequential exploration methods.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network.
CoRR, 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data.
CoRR, 2019
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Remote. Sens., 2018
Local adjustments of image spatial resolution to optimize large-area mapping in the era of big data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
F1000Research, 2017
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Remote. Sens., 2016
Cropland Mapping over Sahelian and Sudanian Agrosystems: A Knowledge-Based Approach Using PROBA-V Time Series at 100-m.
Remote. Sens., 2016
2015
Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series.
Remote. Sens., 2015
Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps.
Remote. Sens., 2015
A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS.
Remote. Sens., 2015
An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series.
Remote. Sens., 2015
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.
Remote. Sens., 2015
Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model.
Remote. Sens., 2015
Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment.
ISPRS Int. J. Geo Inf., 2015