N: 90 S: -90 E: 180 W: -180
Description
AMSR2/GCOM-W1 surface soil moisture (LPRM) L3 1 day 10 km x 10 km ascending V001 is a Level 3 (gridded) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer 2 (AMSR2), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the daytime product. The data set covers the period from May 2012, when the Japan Aerospace Exploration Agency (JAXA) Global Change Observation Mission-1st Water GCOM-W1 satellite was launched, to the present.
The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the AMSR2's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
Input data are from the AMSR2 spatial-resolution-matched brightness temperatures (L1SGRTBR) product, daytime passes, as processed using LPRM (i.e., LPRM/AMSR2/GCOM-W1 Downscaled Level 2 product, LPRM_AMSR2_DS_SOILM2_V001).
Product Summary
Citation
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Documents
READ-ME
GENERAL DOCUMENTATION
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Satellite-Based Fraction of Available Water Reveals Soil Moisture Deficits Preceding Major Wildfires | Goffin, Benjamin D., Fernandez, Alfonso, Etchanchu, Jordi, Fang, Bin, Lakshmi, Venkataraman | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, SIGMA NAUGHT | |
| Analyzing the dihedral scattering component of P-band SAR signals for trunk permittivity estimation a concept study | Fluhrer, Anke, Alemohammad, Hamed, Jagdhuber, Thomas | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux | |
| Widespread and systematic effects of fire on plantsoil water relations | Baur, Martin J., Friend, Andrew D., Pellegrini, Adam F. A. | Carbon Monoxide, Geopotential Height, Tropopause, Methane, Atmospheric Ozone, Surface Pressure, Outgoing Longwave Radiation, Air Temperature, Upper Air Temperature, Humidity, Total Precipitable Water, Water Vapor, Water Vapor Profiles, Cloud Liquid Water/Ice, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Skin Temperature, Sea Surface Temperature, Vegetation Water Content, Soil Moisture/Water Content | |
| Evaluating a global soil moisture dataset from a multitask model (GSM3 v1. 0) with potential applications for crop threats | Liu, Jiangtao, Hughes, David, Rahmani, Farshid, Lawson, Kathryn, Shen, Chaopeng | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Surface Temperature, Emissivity, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Soil Moisture/Water Content, Soil Temperature, Snow Water Equivalent, Runoff, Vegetation Water Content, Skin Temperature, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| On the Potential of Active and Passive Microwave Remote Sensing for Tracking Seasonal Dynamics of Evapotranspiration | Jagdhuber, T., Fluhrer, A., Chaparro, D., Dubois, C., Hellwig, F. M., Bayat, B., Montzka, C., Baur, M. J., Ramati, M., Kubert, A., Mueller, M. M., Schellenberg, K., Boehm, M., Jonard, F., Steele-Dunne, S., Piles, M., Entekhabi, D. | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Evapotranspiration, Latent Heat Flux | |
| Multi-Frequency Radiometry for Multi-Year Monitoring of Relative Water Content In A Temperate Forest | Hellwig, Florian M., Jagdhuber, Thomas, Fluhrer, Anke, Dubois, Clemence, Chaparro, David, Schellenberg, Konstantin, Piles, Maria, Schmullius, Christiane, Entekhabi, Dara | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Snow Grain Size, Snow Cover |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| frequency_map | frequency_map | GHz | int16 | -1 | N/A | 0.10000000149012 | 0 |
| Latitude | Latitude | degrees_north | float32 | N/A | N/A | N/A | N/A |
| Longitude | Longitude | degrees_east | float32 | N/A | N/A | N/A | N/A |
| mask | mask | N/A | int16 | N/A | N/A | N/A | N/A |
| opt_depth_c1 | opt_depth_c1 | N/A | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| opt_depth_c2 | opt_depth_c2 | N/A | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| opt_depth_x | opt_depth_x | N/A | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| scantime | scantime | seconds since 1993-01-01 00:00:00 | float64 | 0 | N/A | N/A | N/A |
| soil_moisture_c1 | soil_moisture_c1 | percent | int16 | -32767 | N/A | 1 | 0 |
| soil_moisture_c1_error | soil_moisture_c1_error | percent | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| soil_moisture_c2 | soil_moisture_c2 | percent | int16 | -32767 | N/A | 1 | 0 |
| soil_moisture_c2_error | soil_moisture_c2_error | percent | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| soil_moisture_x | soil_moisture_x | percent | int16 | -32767 | N/A | 1 | 0 |
| soil_moisture_x_error | soil_moisture_x_error | percent | int16 | -32767 | N/A | 0.0099999997764826 | 0 |
| ts | ts | Kelvin | int16 | -32767 | N/A | 0.10000000149012 | 0 |