N: 90 S: -90 E: 180 W: -180
Description
AMSR2/GCOM-W1 surface soil moisture (LPRM) L3 1 day 25 km x 25 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 Level 2 product, LPRM_AMSR2_SOILM2_V001).
Product Summary
Citation
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Documents
READ-ME
GENERAL DOCUMENTATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A global near real-time dataset of Microwave Integrated Drought Index from the Fengyun-3 satellites | Zhang, Anzhi, Gao, Hao, Xu, Ronghan, Li, Xiaoqing, Zhao, Huichen, Jia, Gensuo | Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow, Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Land Use/Land Cover Classification | |
| Multi-Day Extreme Precipitation Caused Major Floods in India During | Chuphal, Dipesh Singh, Malik, Iqura, Singh, Rajesh, Vangala, Gayathri, Niranjannaik, M., Vegad, Urmin, Dilip K, Nandana, Mukhopadhyay, Parthasarathi, Selvan, J. P., Kapadia, Vivek, Mishra, Vimal | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| 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 | |
| Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing | Bousquet, Emma, Mialon, Arnaud, Rodriguez-Fernandez, Nemesio, Mermoz, Stephane, Kerr, Yann | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Emissivity, Land Surface Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Influence of surface water variations on VOD and biomass estimates from passive microwave sensors | Bousquet, Emma, Mialon, Arnaud, Rodriguez-Fernandez, Nemesio, Prigent, Catherine, Wagner, Fabien H., Kerr, Yann H. | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature | |
| Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products | Li, Xiaojun, Wigneron, Jean-Pierre, Frappart, Frederic, Fan, Lei, Ciais, Philippe, Fensholt, Rasmus, Entekhabi, Dara, Brandt, Martin, Konings, Alexandra G., Liu, Xiangzhuo, Wang, Mengjia, Al-Yaari, Amen, Moisy, Christophe | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature | |
| High-Resolution Soil Moisture Evolution in Hyper-Arid Regions: A | Burgi, P. M., Lohman, R. B. | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature | |
| The Carbon Cycle Influence on Tornadoes | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Air Temperature, Carbon Monoxide, Cloud Fraction, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Geopotential Height, Methane, Outgoing Longwave Radiation, Atmospheric Ozone, Total Precipitable Water, Sea Surface Temperature, Surface Pressure, Surface Temperature, Sulfur Dioxide, Tropopause, Tropospheric Ozone, Upper Air Temperature, Water Vapor Profiles, Cloud Liquid Water/Ice, Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Brightness Temperature | ||
| Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices | Chaparro, David, Duveiller, Gregory, Piles, Maria, Cescatti, Alessandro, Vall-llossera, Merce, Camps, Adriano, Entekhabi, Dara | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature |
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 | 1 | 0 |
| Longitude | Longitude | degrees_east | float32 | N/A | N/A | 1 | 0 |
| 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 |