Filipe Aires
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- National Center for Scientific Research, PSL Research University, Paris Observatory, PSL University, Shell (France)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-9426-866X
- OpenAlex ID
- A5055929239as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
A Global Dynamic Long-Term Inundation Extent Dataset at High Spatial Resolution Derived through Downscaling of Satellite Observations,
Analyzing the Mediterranean Water Cycle Via Satellite Data Integration,
Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI,
Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution,
Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI,
Dimension reduction of satellite observations for remote sensing. Part 1: A comparison of compression, channel selection and bottleneck channel approaches,
Nested leave-two-out cross-validation for the optimal crop yield model selection,
Soil Moisture Retrieval Using Neural Networks: Application to SMOS
+4 more
← Authored by 12
A Global Dynamic Long-Term Inundation Extent Dataset at High Spatial Resolution Derived through Downscaling of Satellite Observations,
Analyzing the Mediterranean Water Cycle Via Satellite Data Integration,
Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI,
Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution,
Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI,
Dimension reduction of satellite observations for remote sensing. Part 1: A comparison of compression, channel selection and bottleneck channel approaches,
Nested leave-two-out cross-validation for the optimal crop yield model selection,
Soil Moisture Retrieval Using Neural Networks: Application to SMOS
+4 more
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Summary
Filipe Aires is a human[1].