S5: Multitemporal Cloud Detection - WordPress.com · Promoting Earth Observation Services SenSyF Workshop. Madrid. 11 th March 2015 16 • A processor for cloud detection and masking,

Promoting Earth Observation ServicesSenSyF: Sentinels Synergy FrameworkPromoting Earth Observation Services

S5: Multitemporal Cloud DetectionAntonio Ruiz-Verdú, Julia Amorós-López, Luis Gómez-Chova,

Jordi Muñoz-Marí, Gustavo Camps-Valls and José MorenoSenSyF Users WorkshopMadrid. 11th March 2015

Promoting Earth Observation Services

2SenSyF Workshop. Madrid. 11th March 2015

Service Overview

• Sentinel-2 will provide systematic global coverage at high spatial and temporal resolutions.

• Challenges: advanced approaches are required to handle the incoming time series

• SenSyF Service 5 is intended to demonstrate the Sentinels capabilities for multitemporal applications

• A Multitemporal Cloud Detection (MCD) algorithm was chosen for demonstrating those capabilities



Overview of the MCD processorTime series Cloud mask

• Main assumptions: – Land covers change smoothly– Abrupt changes are mainly due to clouds



Sentinel-2

• Dedicated 5-day revisit time series of SPOT-4 (February - July 2013), available at ESA’s DUE (Take 5 dataset)

• Landsat-8 time series at 16-day revisit times

Input Test Data



Deployment and testing in SenSyF Sandbox

• MCD processor implemented for 3 options with different degree of parallelizarion

• Image time series dataset (SPOT4-

take5 & Landsat-8) uploaded

• MATLAB functions deployed

• Processor tested




• Demonstration and Validation Tests implemented in 8 SPOT-4 and Landsat-8 time series

• Good results compared with other cloud screening approaches


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DT1 ARGENTINA SITE

SPOT-4 TAKE 5 RGB

SenSyF Workshop. Madrid. 11th March 2015


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ARGENTINA SITE

SenSyF S5MCD Cloud Mask



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DT1 ARGENTINA SITE

MULTITEMPORAL L2A SAT.TIF



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DT1 ARGENTINA SITE

MONOTEMPORAL L2A SAT.TIF



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ARGENTINA SITE

• Crop lands• Monotemporal

mask fails with cirrus clouds




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DT2 ARGENTINA SITE

SPOT-4 TAKE 5 RGB



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DT2 ARGENTINA SITE

SenSyF S5MCD Cloud Mask



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DT2 ARGENTINA SITE

MULTITEMPORAL L2A SAT.TIF



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DT2 ARGENTINA SITE

MONOTEMPORAL L2A SAT.TIF




• A processor for cloud detection and masking, based on image time series, was successfully implemented in the SenSyFcloud computing framework

• Some key benefits:– The framework allowed us to test computationally demanding versions

of the algorithm – Learning cloud computing usage and capabilities– Possibility to offer service to a big potential user’s community– User’s feedback

Summary

Promoting Earth Observation ServicesSenSyF: Sentinels Synergy FrameworkPromoting Earth Observation Services

S5: Multitemporal Cloud DetectionAntonio Ruiz-Verdú, Julia Amorós-López, Luis Gómez-Chova,

Jordi Muñoz-Marí, Gustavo Camps-Valls and José MorenoSenSyF Users WorkshopMadrid. 11th March 2015



Deployment and testing in SenSyF Sandboxapplication.xml run.sh






Migration to Operational Cloud Environment (OCE)

Documents

S5: Multitemporal Cloud Detection - WordPress.com · Promoting Earth Observation Services SenSyF Workshop. Madrid. 11 th March 2015 16 • A processor for cloud detection and masking,