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1. SMAP_L1A_RADAR_METADATA_V001 [SPL1A_METADATA_001]
SMAP Level 1A Radar Product Metadata


2. SMAP_L1A_RADAR_QA_V001 [SPL1A_QA_001]
SMAP Level 1A Radar Data Quality Information


3. SMAP_L1A_RADAR_V001 [SPL1A_001]
SMAP Level 1A Radar Product


4. MODIS/Aqua Near Real Time (NRT) Coarse Thermal Anomalies/Fire 5-Min L2 Swath 5km V005 [MYD14CRS]
MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (a ...


5. MODIS/Aqua Near Real Time (NRT) L2 Coarse Surface Reflectance, 5-Min Swath 5km V005 [MYD09CRS]
MODIS/Aqua Near Real Time (NRT) L2 Coarse Surface Reflectance, 5-Min Swath 5km V005


6. MODIS/Aqua Near Real Time (NRT) L2 Surface Reflectance, 5-Min Swath 250m, 500m, and 1km V005 [MYD09]
MODIS/Aqua Near Real Time (NRT) L2 Surface Reflectance, 5-Min Swath 250m, 500m, and 1km V005


7. MODIS/Aqua Near Real Time (NRT) Land Surface Temperature/Emissivity 5-Min L2 Swath 1km (C005) [MYD11_L2]
The MODIS/Aqua Near Real Time (NRT) version-5 (V5) level-2 LST/E data (Shortname: MYD11_L2) incorporate 1-km pixels, which are produced daily at 5-minute increments using the generalized split-window ...


8. MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 1km and 500m SIN Grid (C005) [MYD09GA]
The MODIS Near real-time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


9. MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid (C005) [MYD09GQ]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


10. MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid V005 (C005) [MYD09GQK]
The MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid product (MYD09GQK) provides MODIS bands 1 and 2, daily surface reflectance at 250 m resolution. The product is ...


11. MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 500m SIN Grid (C005) [MYD09GHK]
The MODIS Near Real Time (NRT) Surface Reflectance Daily L2G Global 500m SIN Grid product, MYD09GHK, is a seven-band product computed from the MODIS Level 1B land bands 1-7. The product is an estimate ...


12. MODIS/Aqua Near Real Time (NRT) Surface Reflectance Quality Daily L2G Global 1km SIN Grid V005 [MYD09GST]
The MODIS Near Real Time (NRT) level-2G 1km surface reflectance data state QA product MYD09GST, is a restructured version of its primary input, the state QA data in MYD09_L2. This product summarizes ...


13. MODIS/Aqua Near Real Time (NRT) Thermal Anomalies/Fire 5-Min L2 Swath 1km (C005) [MYD14]
MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when ...


14. MODIS/Aqua Near real-time (NRT) L2G Daytime Thermal Bands ??? Daily 1km V005 [MYDTBGD]
MODIS/Aqua Near real-time (NRT) L2G Daytime Thermal Bands ??? Daily 1km V005


15. MODIS/Aqua Surface Reflectance Daily L3 Global 0.05Deg CMG [MYD09CMG]
The MODIS Near Real Time (NRT) Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering ...


16. MODIS/Terra Near Real Time (NRT) Coarse Thermal Anomalies/Fire 5-Min L2 Swath 5km V005 [MOD14CRS]
MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (a ...


17. MODIS/Terra Near Real Time (NRT) L2 Coarse Surface Reflectance, 5-Min Swath 5km V005 [MOD09CRS]
MODIS/Terra Near Real Time (NRT) L2 Coarse Surface Reflectance, 5-Min Swath 5km V005


18. MODIS/Terra Near Real Time (NRT) L2 Surface Reflectance, 5-Min Swath 250m, 500m, and 1km V005 [MOD09]
MODIS/Terra Near Real Time (NRT) L2 Surface Reflectance, 5-Min Swath 250m, 500m, and 1km V005


19. MODIS/Terra Near Real Time (NRT) L2G Daytime Thermal Bands ??? Daily 1km V005 [MODTBGD]
MODIS/Terra Near Real Time (NRT) L2G Daytime Thermal Bands ??? Daily 1km V005


20. MODIS/Terra Near Real Time (NRT) Land Surface Temperature/Emissivity 5-Min L2 Swath 1km (C005) [MOD11_L2]
The MODIS/Terra Near Real Time (NRT) level-2 Land Surface Temperature and Emissivity (LST/E) data (Shortname: MOD11_L2) incorporate 1 km pixels, which are produced daily at 5-minute increments using ...


21. MODIS/Terra Near Real Time (NRT) Surface Reflectance Daily L2G Global 1km and 500m SIN Grid (C005) [MOD09GA]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


22. MODIS/Terra Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid (C005) [MOD09GQ]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


23. MODIS/Terra Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid V005 (C005) [MOD09GQK]
The MODIS Near Real Time (NRT) Surface Reflectance Daily L2G Global 250m SIN Grid product (MOD09GQK) provides MODIS bands 1 and 2, daily surface reflectance at 250 m resolution. The product is an ...


24. MODIS/Terra Near Real Time (NRT) Surface Reflectance Daily L2G Global 500m SIN Grid (C005) [MOD09GHK]
The MODIS Near Real Time (NRT) Surface Reflectance Daily L2G Global 500m SIN Grid product, MOD09GHK, is a seven-band product computed from the MODIS Level 1B land Bands 1-7. The product is an estimate ...


25. MODIS/Terra Near Real Time (NRT) Surface Reflectance Daily L3 Global 0.05Deg CMG [MOD09CMG]
The MODIS Near Real Time (NRT) Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering ...


26. MODIS/Terra Near Real Time (NRT) Surface Reflectance Quality Daily L2G Global 1km SIN Grid V005 [MOD09GST]
The MODIS Near Real Time (NRT) level-2G 1km surface reflectance data state QA product MOD09GST, is a restructured version of its primary input, the state QA data in MOD09_L2. This product summarizes ...


27. MODIS/Terra Near Real Time (NRT) Surface Reflectance Rolling-8-Day L3 Global 250m SIN Grid [MOD09Q1N]
The The MODIS Near Real Time (NRT) product, MOD09Q1N provides Band 1 and 2 data at 250 meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09Q1N ...


28. MODIS/Terra Near Real Time (NRT) Surface Reflectance Rolling-8-Day L3 Global 500m SIN Grid V005 [MOD09A1N]
The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or ...


29. MODIS/Terra Near Real Time (NRT) Thermal Anomalies/Fire 5-Min L2 Swath 1km (C005) [MOD14]
MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when ...


30. MODIS/Terra Vegetation Indices Daily Rolling-8-Day L3 Global 250m SIN Grid V005 [MOD13Q4N]
The MODIS Near Real Time (NRT) Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, ...


31. MODIS/Terra Vegetation Indices Daily Rolling-8-Day L3 Global 500m SIN Grid V005 [MOD13A4N]
The MODIS Near Real Time (NRT) Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, ...


32. Plant Root Characteristics and Dynamics in Arctic Tundra Ecosystems, 1960-2012 [Plant_Root_Characteristics_Dynamics_Arctic_Tundra_Ecosystems_1960-2012]
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from ...


33. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Eastern Africa (GDAS and RFE2) V001 [FLDAS_NOAH01_A_EA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


34. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Eastern Africa (MERRA and CHIRPS) V001 [FLDAS_NOAH01_B_EA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


35. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Southern Africa (GDAS and RFE2) V001 [FLDAS_NOAH01_A_SA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


36. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Southern Africa (MERRA and CHIRPS) V001 [FLDAS_NOAH01_B_SA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


37. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Western Africa (GDAS and RFE2) V001 [FLDAS_NOAH01_A_WA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


38. FLDAS Noah Land Surface Model L4 monthly 0.1 x 0.1 degree for Western Africa (MERRA and CHIRPS) V001 [FLDAS_NOAH01_B_WA_M]
This data set contains a series of land surface parameters simulated from the Noah 3.3 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data ...


39. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Eastern Africa (GDAS and RFE2) V001 [FLDAS_VIC025_A_EA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


40. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Eastern Africa (MERRA and CHIRPS) V001 [FLDAS_VIC025_B_EA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


41. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Southern Africa (GDAS and RFE2) V001 [FLDAS_VIC025_A_SA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


42. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Southern Africa (MERRA and CHIRPS) V001 [FLDAS_VIC025_B_SA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


43. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Western Africa (GDAS and RFE2) V001 [FLDAS_VIC025_A_WA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


44. FLDAS VIC Land Surface Model L4 monthly 0.25 x 0.25 degree for Western Africa (MERRA and CHIRPS) V001 [FLDAS_VIC025_B_WA_M]
This data set contains a series of land surface parameters simulated from the VIC model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). The data are in ...


45. Hydraulic Conductivity Measurements Barrow 2014 [Hydraulic_Conductivity_Measurements_Barrow_2014]
Six individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, in May of 2013 as part of the Next Generation Ecosystem Experiment (NGEE). Each core was drilled from ...


46. Intensive Site 1 Plot Pictures, Barrow, July, 2012 [Intensive_Site_1_Plot_Pictures_Barrow_July_2012]
The NGEE Arctic Intensive Site 1 in Barrow, Alaska includes four (4) areas that represent the micro-topographic features of the Barrow Environmental Observatory (BEO). These areas are designated Area ...


47. Intensive Site 1 Vegetation Plot Photos 2012 [Intensive_Site_1_Vegetation_Plot_Photos_2012]
Photographs were taken on 24th June, 15th July and 17th August 2012, using a Canon Ixus 70 7.1 megapixel digital camera. Photographs were taken during the recording of weekly soil moisture, temperature ...


48. NGEE Instrumentation and Sample Site Coordinates, Barrow, Alaska USA [NGEE_Instrumentation_Sample_Site_Coordinates_Barrow_Alaska_USA]
This text (csv) file contains the location coordinates for all NGEE-Arctic related instrumentation and sampling sites near Barrow, Alaska. Coordinates are provided in both UTM northing (meters) and ...


49. Plant Available Nutrients, Barrow, Alaska, Ver. 1 [Plant_Available_Nutrients_Barrow_Alaska_Ver1]
This dataset reports measurements of plant available nutrients made using Plant Root Simulator (PRS) probes (Western Ag Innovations Inc.) during 2012 and 2013 at the Next-Generation Ecosystem Experiments ...


50. Soil Physicochemical Characteristics from Ice Wedge Polygons, Barrow, Alaska, Ver. 1 [Soil_Physicochemical_Characteristics_Ice_Wedge_Polygons_Barrow_Alaska_Ver1]
This dataset provides details about soil cores (active layer and permafrost) collected from ice-wedge polygons during field expeditions to Barrow Environmental Observatory, Alaska in April, 2012 and ...


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