N: 90 S: -90 E: 180 W: -180
Description
AMSR2/GCOM-W1 surface soil moisture (LPRM) L3 1 day 25 km x 25 km descending 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 nighttime 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, nighttime 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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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 | |
| Estimating contrasting soil moisture-precipitation feedbacks across global landmass using data from the Soil Moisture Active Passive satellite mission | Taylor, Joshua, Salvucci, Guido | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Vegetation Water Content, Skin Temperature, Evaporation, Convection | |
| A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison | Wang, Mengjia, Ciais, Philippe, Frappart, Frederic, Tao, Shengli, Fan, Lei, Sun, Rui, Li, Xiaojun, Liu, Xiangzhuo, Wang, Huan, Wigneron, Jean-Pierre | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Temperature, Soil Moisture/Water Content, Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Water Content, Skin Temperature | |
| Comprehensive quality assessment of satellite-and model-based soil moisture products against the COSMOS network in Germany | Schmidt, Toni, Schron, Martin, Li, Zhan, Francke, Till, Zacharias, Steffen, Hildebrandt, Anke, Peng, Jian | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Vegetation Water Content, Skin Temperature | |
| Spatial Correlation Increase in Single-Sensor Satellite Data Reveals | Blaschke, Lana L., Nian, Da, Bathiany, Sebastian, BenYami, Maya, Smith, Taylor, Boulton, Chris A., Boers, Niklas | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Land Use/Land Cover Classification | |
| Utility of L-band and X-band vegetation optical depth to examine | Konkathi, Preethi, Karthikeyan, L. | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature | |
| A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm | Hu, Lu, Zhao, Tianjie, Ju, Weimin, Peng, Zhiqing, Shi, Jiancheng, Rodriguez-Fernandez, Nemesio J., Wigneron, Jean-Pierre, Cosh, Michael H., Yang, Kun, Lu, Hui, Yao, Panpan | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning | Abraham, Minu Treesa, Satyam, Neelima, Rosi, Ascanio, Pradhan, Biswajeet, Segoni, Samuele | Skin Temperature, Soil Moisture/Water Content, Vegetation Water Content | |
| Error Decomposition of Remote Sensing Soil Moisture Products Based on | Kang, Jian, Jin, Rui, Li, Xin, Zhang, Yang | 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 |