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36 2. Remote Sensing with MODIS Figure 2.13 – Stripe noise on Aqua MODIS Level 2 ocean products (TL) Remote sensing reflectance at 412 nm (TR) Chlorophyll concentration (BL) Diffuse attenuation coefficient at 490 nm (BR) Sea surface temperature at 11 µm
37 Discipline Product ID Product name MOD01 Level-1A Radiance Counts – MOD02 Level-1B Calibrated Geolocation Radiances MOD03 Geolocation Data Set MOD04 Aerosol Product MOD05 Total Precipitable Water Atmosphere MOD06 Cloud Product MOD07 Atmospheric Profiles MOD08 Gridded Atmospheric Product MOD035 Cloud Mask Cryosphere MOD010 Snow Cover MOD029 Sea Ice Cover MOD09 Surface Reflectance (Atmospheric Correction) MOD011 Land Surface Temperature and Emissivity MOD012 Land Cover/Land Cover Change MOD013 Gridded Vegetation Indices (NDVI & EVI) MOD014 Thermal Anomalies - Fires and Biomass Burning Land MOD015 Leaf Area Index (LAI) and FPAR MOD016 Evapotranspiration MOD017 Vegetation Production, Net Primary Productivity (NPP) MOD040 Gridded Thermal Anomalies MOD043 Surface Reflectance BRDF/Albedo Parameter MOD044 Vegetation Cover Conversion MOD018 Normalized Water-leaving Radiance MOD019 Pigment Concentration MOD020 Chlorophyll Fluorescence MOD021 Chlorophylla Pigment Concentration MOD022 Photosynthetically Available Radiation (PAR) MOD023 Suspended-Solids Concentration MOD024 Organic Matter Concentration MOD025 Coccolith Concentration Ocean MOD026 Ocean Water Attenuation Coefficient MOD027 Ocean Primary Productivity MOD028 Sea Surface Temperature MOD029 Sea Ice Cover MOD031 Phycoerythrin Concentration MOD032 Processing Framework and Match-up Database MOD036 Total Absorption Coefficient MOD037 Ocean Aerosol Properties MOD039 Clean Water Epsilon Table 2.2 – MODIS products
Page 1: École Doctorale d’Informatique,
Page 5: 5 Résumé Nou abordons dans cette
Page 8 and 9: 8 TABLE DES MATIÈRES 3.5 Frequency
Page 10 and 11: 10 TABLE DES MATIÈRES
Page 12 and 13: 12 1. Introduction A common issue f
Page 14 and 15: 14 1. Introduction
Page 16 and 17: 16 2. Remote Sensing with MODIS In
Page 18 and 19: 18 2. Remote Sensing with MODIS Fig
Page 24 and 25: 24 2. Remote Sensing with MODIS any
Page 30 and 31: 30 2. Remote Sensing with MODIS Mai
Page 38 and 39: 38 2. Remote Sensing with MODIS
Page 40 and 41: 40 3. Standard destriping technique
Page 72 and 73: Table 3.4 - Noise Reduction (NR), I
Page 74 and 75: 74 4. A Variational approach for th
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86 4. A Variational approach for th
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100 4. A Variational approach for t
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112 5. Application : Restoration of
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- Alaska Labrador Siberia Restorati
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128 Conclusion
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130 BIBLIOGRAPHIE A. Chambolle. An
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132 BIBLIOGRAPHIE E. Hochberg, S. A
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134 BIBLIOGRAPHIE P. Perona and J.
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