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- Documents (213)
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
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
PV-LAC-COAST-ATBD-IODD-v1-0.pdf
This is the first version (V1) of the ATBD and IODD.
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 - Product Cal/Val Plan/Report
PV-LAC-ATMO-validation-report-v2.pdf
PV-LAC Aerosol Optical Thickness and Surface Reflectance Validation Report v2
Document - Product Cal/Val Plan/Report
PV-CDRR-validation-report.pdf
Proba-V Cloud Detection Round Robin (PV-CDRR) Validation Report
Document - Product Document
PV-LAC-ATMO-requirements-baseline-document-activity2.pdf
PV-LAC: Advanced Land, Aerosol and Coastal products for PROBA-V - Requirements Baseline Document Activity 2
Document - Product Document
PV-CDRR-protocol-cumulative-discriminant-analysis.pdf
Proba-V Clouds Detection Round Robin (PV-CDRR) Protocol Discriminant Analysis
Document - Product Document
LANDSAT_Products_Description_Document.pdf
This document acts as a User Guide to the Landsat MSS, TM and ETM+ archives, focussing more specifically on the Landsat TM and ETM+ products from the Kiruna, Maspalomas and Matera archives (including from the Matera, Fucino, Neustralitz, O’Higgins, Malindi, Libreville and Bishkek ground stations) that have been generated as part of the ESA archive bulk-reprocessing project.