GSC Sentinel-2 PDGS OCD - Emits - ESA

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GSC Sentinel-2 PDGS OCD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-TN-09-0008 page 344 of 350 Service Area Processing Level Ortho Accuracy Cloud Coverage Tasking Mapping Frequency Size of L1C Compr. Data [Gbyte] Delivery INFO EGSE_033 -Situation Mapping Africa, Latin America, South-East and Central Asia, Middle East 15000 km2 1A No 15m < 20% On demand Once 0.75 Normal Provides up to date but very dynamic situation information such as security zones, climatic conditions, location of field operatives etc. Involves close one to one inputs with field staff. EGSE_035 -Thematic Mapping- Context Mapping Africa 40000 km2 1A No 15m < 20% Predefined Once 2 Normal Specific high resolution mapping of refugee camps and inclusion of camp data collected from the relief agencies. This service focuses on providing satellite imagery derived input to refugee/IDP camp management as databases and also includes the potential for in-field data collection. EGSE_036 -Thematic Mapping- Medium Scale Africa, Latin America, South-East and Central Asia, Middle East 10000 km2 1A Yes 15m < 10% Predefined Once 0.5 Normal Thematic Mapping- Medium Scale EGSE_037 - Thematic Mapping- Large Scale Africa, Latin America, South-East and Central Asia, Middle East 500 km2 1A yes 15m < 10% Predefined Once 0.03 Normal Thematic Mapping- Large Scale EGSE_039 – RISK-EOS: Burn Scar Mapping ENTENTE Zone except Corsica (France), South of Italy, Mainland Portugal 220000 km2 1A No 10m Predefined Monthly (in summer only) 11 NRT3H (25%) Normal (75%) Burn Scar Mapping SECURITY SERVICE SEC_002 - Crisis Indicators: Exploitation of natural resources Africa (approx 200 x 200 Km2 covering North and South Kivu province in DRC) and part of Senegal (approx 500 x 500 km) 1B yes 25m Predefined 2-3 complete coverages in 3 year intervals 7.5 Normal Crisis Indicator will be generated from a LandUse/LandCover classification combining HR optical data and SAR imagery, which will be linked to socioeconomic data. The indicators are generated with a frequency of 3 to 5 years from HR data and monthly from MR data ESA UNCLASSIFIED – For Official Use © ESA The copyright of this document is the property of ESA. It is supplied in confidence and shall not be reproduced, copied or communicated to any third party without written permission from ESA.
GSC Sentinel-2 PDGS OCD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-TN-09-0008 page 345 of 350 Service Area Processing Level Ortho Accuracy Cloud Coverage Tasking Mapping Frequency Size of L1C Compr. Data [Gbyte] Delivery INFO SEC_002a - Crisis Indicator: Population pressure Harare, Zimbabwe (approx. 60 by 60 km2) 1B Yes 25m Predefined HR1 data: 3 annual updates. 0.245 Normal The Crisis Indicator will be generated from a settlement classification combining VHR1 and HR1 optical data, which will be linked to socio-economic data SEC_002b - Crisis Indicators: Land degradation Eastern Zimbabwe and border areas of Mozambique and South Africa(approx 500 x 500 Km2) 1B Yes 25m Predefined HR1 data: 3 annual updates. 12.5 Normal .The Crisis Indicator will be generated from a LandUse/LandCover classification combining HR2 optical data, which will be linked to socio-economic data. Forhotspot areas also HR1 will be used. SEC_003a – Critical assets monitoring Part of Africa, part of Asia and Part of South America 100 km2 1B Yes Variable < 20% Predefined < 0.1
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[RD-33] Sentinel-2 MSI - Level 2A A
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LES LGS Land Equipped Sites Local G
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3.5.2 MULTI-SPECTRAL INSTRUMENT CHA
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ESA UNCLASSIFIED - For Official Use
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Table 4-5 Radiometric image quality
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Product- Type On-Line retention Off
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4.5.1.5 Scalability and Flexibility
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4.6.3 OPERATIONAL TRANSFER BASELINE
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Product- Type Identifier S2MSI0 S2M
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5 PDGS DESIGN GSC Sentinel-2 PDGS O
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○ Effective processing resources
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o preserving integrity of exchanged
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6 DETAILED OPERATIONS CONCEPTS GSC
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o Report generation frequency and c
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○ MSI L1A, L1B, L1C and TCI produ
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Page 289 and 290: Some relevant use cases are present
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GSC Sentinel-2 PDGS OCD - Emits - ESA

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