Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-317-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-317-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
18 Jan 2023
Data description article |
| 18 Jan 2023
| 18 Jan 2023
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography
Raphaël d'Andrimont
CORRESPONDING AUTHOR
European Commission Joint Research Centre (JRC), Ispra, Italy
Martin Claverie
European Commission Joint Research Centre (JRC), Ispra, Italy
Pieter Kempeneers
European Commission Joint Research Centre (JRC), Ispra, Italy
Davide Muraro
European Commission Joint Research Centre (JRC), Ispra, Italy
Momchil Yordanov
European Commission Joint Research Centre (JRC), Ispra, Italy
Devis Peressutti
Sinergise, Ljubljana, Slovenia
Matej Batič
Sinergise, Ljubljana, Slovenia
François Waldner
European Commission Joint Research Centre (JRC), Ispra, Italy
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Total article views: 12,872 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Sep 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 9,631 | 3,092 | 149 | 12,872 | 183 | 201 |
- HTML: 9,631
- PDF: 3,092
- XML: 149
- Total: 12,872
- BibTeX: 183
- EndNote: 201
Total article views: 10,806 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 8,517 | 2,166 | 123 | 10,806 | 161 | 185 |
- HTML: 8,517
- PDF: 2,166
- XML: 123
- Total: 10,806
- BibTeX: 161
- EndNote: 185
Total article views: 2,066 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Sep 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,114 | 926 | 26 | 2,066 | 22 | 16 |
- HTML: 1,114
- PDF: 926
- XML: 26
- Total: 2,066
- BibTeX: 22
- EndNote: 16
Viewed (geographical distribution)
Total article views: 12,872 (including HTML, PDF, and XML)
Thereof 12,288 with geography defined
and 584 with unknown origin.
Total article views: 10,806 (including HTML, PDF, and XML)
Thereof 10,295 with geography defined
and 511 with unknown origin.
Total article views: 2,066 (including HTML, PDF, and XML)
Thereof 1,993 with geography defined
and 73 with unknown origin.
| Country | # | Views | % |
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| Country | # | Views | % |
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| Country | # | Views | % |
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| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
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Cited
18 citations as recorded by crossref.
- A weakly supervised approach for large-scale agricultural parcel extraction from VHR imagery via foundation models and adaptive noise correction W. Zhao et al.
- AI-based 2-m super-resolution of Sentinel-2 imagery for high-resolution SDG monitoring D. Jin et al.
- CT-HiffNet: A contour-texture hierarchical feature fusion network for cropland field parcel extraction from high-resolution remote sensing images H. Wu et al.
- Boosting crop classification by hierarchically fusing satellite, rotational, and contextual data V. Barriere et al.
- Interactive Dual-Branch Transformer for Precise Agricultural Parcel Delineation from Remote Sensing Imagery Y. Wu et al.
- The role of digitalisation in supporting farmers and strategic policies for food security and sustainability in Europe: A review G. Kandel et al.
- Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR) P. Kempeneers et al.
- Transferability of spatial and temporal learning models for winter wheat mapping in data-scarce environments: A case study in Armenia A. Tiwari et al.
- A large-scale VHR parcel dataset and a novel hierarchical semantic boundary-guided network for agricultural parcel delineation H. Zhao et al.
- MT4AFE: A Deep Learning Benchmark Dataset for Agricultural Field Extraction G. Amin et al.
- Persistence patterns in subfield crop water use to guide variable rate management C. Deval et al.
- On the Use of Graphs for Satellite Image Time Series: A comprehensive review C. Dufourg et al.
- A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan R. Ishaq et al.
- AgriFM: A multi-source temporal remote sensing foundation model for Agriculture mapping W. Li et al.
- Advancing agricultural remote sensing: A comprehensive review of deep supervised and Self-Supervised Learning for crop monitoring M. da Silva et al.
- A CNN-Transformer Hybrid Network With Boundary Guidance for Mapping Cropland Field Parcels From High-Resolution Remote Sensing Imagery J. Xie et al.
- A scalable matching approach for the comparison of agricultural land use maps based on corresponding field polygons A. Naumann et al.
- AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello et al.
18 citations as recorded by crossref.
- A weakly supervised approach for large-scale agricultural parcel extraction from VHR imagery via foundation models and adaptive noise correction W. Zhao et al.
- AI-based 2-m super-resolution of Sentinel-2 imagery for high-resolution SDG monitoring D. Jin et al.
- CT-HiffNet: A contour-texture hierarchical feature fusion network for cropland field parcel extraction from high-resolution remote sensing images H. Wu et al.
- Boosting crop classification by hierarchically fusing satellite, rotational, and contextual data V. Barriere et al.
- Interactive Dual-Branch Transformer for Precise Agricultural Parcel Delineation from Remote Sensing Imagery Y. Wu et al.
- The role of digitalisation in supporting farmers and strategic policies for food security and sustainability in Europe: A review G. Kandel et al.
- Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR) P. Kempeneers et al.
- Transferability of spatial and temporal learning models for winter wheat mapping in data-scarce environments: A case study in Armenia A. Tiwari et al.
- A large-scale VHR parcel dataset and a novel hierarchical semantic boundary-guided network for agricultural parcel delineation H. Zhao et al.
- MT4AFE: A Deep Learning Benchmark Dataset for Agricultural Field Extraction G. Amin et al.
- Persistence patterns in subfield crop water use to guide variable rate management C. Deval et al.
- On the Use of Graphs for Satellite Image Time Series: A comprehensive review C. Dufourg et al.
- A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan R. Ishaq et al.
- AgriFM: A multi-source temporal remote sensing foundation model for Agriculture mapping W. Li et al.
- Advancing agricultural remote sensing: A comprehensive review of deep supervised and Self-Supervised Learning for crop monitoring M. da Silva et al.
- A CNN-Transformer Hybrid Network With Boundary Guidance for Mapping Cropland Field Parcels From High-Resolution Remote Sensing Imagery J. Xie et al.
- A scalable matching approach for the comparison of agricultural land use maps based on corresponding field polygons A. Naumann et al.
- AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello et al.
Saved (final revised paper)
Latest update: 02 May 2026
Short summary
AI4boundaries is an open AI-ready data set to map field boundaries with Sentinel-2 and aerial photography provided with harmonised labels covering seven countries and 2.5 M parcels in Europe.
AI4boundaries is an open AI-ready data set to map field boundaries with Sentinel-2 and aerial...
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