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- Documents (198)
Document - Publication - Paper
PV-CDRR-validation-results-recommendations-multitemp.pdf
Proba-V Clouds Detection Round Robin (PV-CDRR): Validation Results and Recommendations
Document - Publication - Paper
IGARSS-2017-cloud-detection-machine-learning-algorithms-proba-v.pdf
Cloud detection machine learning algorithms for Proba-V, IGARSS 2017
Document - Algorithms Theoretical Baseline Document
PV-LAC-ATMO-algorithm-theoretical-baseline-document-CISAR-Proba-V-v2.pdf
PV-LAC-ATMO algorithm theoretical baseline document
Document - Algorithms Theoretical Baseline Document
PV-LAC-ATMO-algorithm-theoretical-baseline-document-CISAR-Proba-V-v1.pdf
PV-LAC-ATMO algorithm theoretical baseline document CISAR-PROBA-V
Document - Algorithms Theoretical Baseline Document
PV-CDRR-ATBD-proba-v-cloud-top-pressure.pdf
Proba-V Clouds Detection Round Robin (PV-CDRR) - Detection of clouds for Proba-V - Proba-V Cloud Top Pressure - Algorithm Theoretical Basis Document
Document - Algorithms Theoretical Baseline Document
PV-CDRR-Algorithm-Theoretical-Basis-Document.pdf
Proba-V Clouds Detection Round Robin (PV-DRR) - Proba-V Cloud Detection Algorithm Theoretical Basis Document
Document - Algorithms Theoretical Baseline Document
PV-Clouds-Detection-Round-Robin-Baseline.pdf
Project Baseline for Proba-V Cloud Detection Round Robin (PV-CDRR)
Document - Algorithms Theoretical Baseline Document
PV-CDRR-Algorithm-Theoretical-Basis-Document-Cloud-Masking.pdf
Clouds Detection Algorithms for Proba-V - Proba-V Clouds Detection Round Robin (PV-CDRR) Experiment - Cloud Masking Algorithm Theoretical Basis Document
Document - Algorithms Theoretical Baseline Document
PV-CDRR-ATBD-cloud-detection-proba-v-self-organising-maps.pdf
Proba-V Clouds Detection Round Robin (PV-CDRR) Cloud Detection Algorithm Theoretical Basis Document
Document - General Reference
MetOp-Monitoring-the-Weather-from-Polar-Orbit.pdf
This brochure describes in details the MetOp mission, the satellite and its instruments.
Document - General Reference
MetOp-A-Truly-Global-Picture-About-MetOp-mission-and-its-instruments.pdf
This flyer describes the MetOp mission and its instruments.
Document - General Reference
PV-LAC-COAST-RBD-v1-1.pdf
The aim of this document is to make a critical review of the algorithms for TSM retrieval and atmospheric correction in turbid coastal waters, to identify the most suitable method (TSM and A/C method) for PROBA-V, to define the validation approach (including identification of the validation data and test sites) and to assess the utility and benefits of 100m coastal products through interaction with the user community.
Document - General Reference
CD17-NO19-Knaeps-FINAL.pdf
COASTAL TURBIDITY MONITORING USING THE PROBA-V SATELLITE PAPER
Document - General Reference
PV-LAC-COAST-VR-v2.0.pdf
This is the second version (V2) of the Validation Report for the PV-LAC coastal activities.
Document - General Reference
PV-LAC-COAST-SR-v1.1.pdf
In the frame of the PV-LAC project a prototype code has been developed, tested and validated for the atmospheric correction (A/C) and turbidity retrieval of PROBA-V data over turbid coastal areas.
Document - General Reference
Sterckx-Sindy-ICOS-2017.pdf
Poster presentation at IOCS (International Ocean Colour Science) 2017, 5 -19 May 2017, Lisbon, Portugal.
Document - Proceedings
EO-Summer-School-4-Satellite-Data-Assimilation-for-NWP-1.pdf
This presentation from ESA's EO Summer School 4 describes the assimilation of satellite data for numerical weather prediction
Document - Proceedings
EO-Summer-School-4-Satellite-Data-Assimilation-for-NWP-2.pdf
This presentation from ESA's EO Summer School 4 describes the assimilation of satellite data for numerical weather prediction Part 2
Document - Proceedings
EO-Summer-School-4-New-Satellite-Technologies-Applications-and-Reanalysis.pdf
This presentation from ESA's EO Summer School 4 describes new technologies, applications and reanalysis for earth observation
Document - Proceedings
EO-Summer-School-8-Using-EO-to-understand-tectonic-processes.pdf
This presentation from ESA's EO Summer School 8 describes monitoring our dynamic, hazardous planet with Earth Observation