N: 90 S: -85.044 E: 180 W: -180
Description
This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.
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Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Downscaling SMAP soil moisture using a hybrid machine-learning algorithm | Singh, Abhilash, Niranjannaik, M., Gaurav, Kumar | Brightness Temperature, Surface Soil Moisture | |
| PeatDepth-ML: a global map of peat depth predicted using machine learning | Skye, Jade, Melton, Joe R., Goldblatt, Colin, Gallego-Sala, Angela, Garneau, Michelle, Winton, Scott | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Normalized Difference Vegetation Index (NDVI), Vegetation Index, Brightness Temperature, Surface Soil Moisture | |
| Monitoring Flood Inundation Dynamics From Space | Campo, C., Tamagnone, P., Choy, S., Tran, T. D., Schumann, G. J.P., Kuleshov, Y. | Atmospheric Water Vapor, Precipitation, Brightness Temperature, Surface Soil Moisture, Terrain Elevation, Vegetation Height, Reflectance, Reflectance | |
| Soil moisture buffers the impact of precipitation variability on ecosystem productivity | Wang, Huiqi, Bassiouni, Maoya, Kang, Yanghui, Rifai, Sami W., Gherardi, Laureano A., Ukkola, Anna, Keenan, Trevor F. | Brightness Temperature, Surface Soil Moisture, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Shrinking groundwater in India's population epicentre | Mizan, Syed Adil, Paswan, Abhilash K., Tiwari, V. M. | Land Use/Land Cover Classification, Brightness Temperature, Surface Soil Moisture | |
| Vegetation type, landscape and climate define vegetation water content: implications for sustainable management at Southern Patagonia | Jia, Long, Souilla, Julian Rodriguez, Lencinas, Maria Vanessa, Peri, Pablo Luis, Li, Xinwu, Wu, Wenjin, Martinez Pastur, Guillermo J | Brightness Temperature, Surface Soil Moisture | |
| Analytical Assessment of GNSS-R Delay Doppler Map Sensitivity to Land Surface Variables Using a Physics-Based Model | Melebari, Amer, Campbell, James D., Hodges, Erik, Moghaddam, Mahta | Soil Temperature, Soil Moisture/Water Content, Radar Cross-Section, Radar Reflectivity, Brightness Temperature, Surface Soil Moisture | |
| Challenges and Limitations in Comparing Satellite Microwave Vegetation Optical Depth (VOD) Against in-Situ Tree Hydraulics in the Canadian Boreal Forest | Gorrab, Azza, Sonnentag, Oliver, Mialon, Arnaud, Hadiwijaya, Bram, Roy, Camille, Berg, Aaron, Ortet, Juliette, Umair, Muhammad, Roy, Alexandre | Brightness Temperature, Surface Soil Moisture | |
| Challenges in Unifying Physically Based and Machine Learning Simulations | Ahmad, Shahryar K., Kumar, Sujay V., Draper, Clara, Reichle, Rolf H. | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature, Brightness Temperature, Surface Soil Moisture | |
| Can real-time NDVI observations better constrain SMAP soil moisture | Feng, Sijia, Gao, Lun, Qiu, Jianxiu, Liu, Xiaoping, Crow, Wade T., Zhao, Tianjie, Tan, Chao, Wang, Shaohua, Wigneron, Jean-Pierre | Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Surface Soil Moisture | |
| Assessing the influence of model inputs on performance of the EMT plus | Fischer, Samantha C., Niemann, Jeffrey D., Scalia, Joseph, Bullock, Matthew D., Proulx, Holly E., Kim, Boran, Green, Timothy R., Grazaitis, Peter J. | Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Evapotranspiration, Rain, Snow, Canopy Characteristics, Leaf Characteristics, Vegetation Cover, Soil Moisture/Water Content, Soil Temperature, Albedo, Land Surface Temperature, Snow Water Equivalent, Runoff, Brightness Temperature, SIGMA NAUGHT, Surface Soil Moisture | |
| Joint Retrieval of Soil Moisture and Vegetation Properties from GNSS-R Observations: A Preliminary Study | Melebari, Amer, Moghaddam, Mahta | Brightness Temperature, Surface Soil Moisture | |
| Improving Dryland Depth to Water Table Estimate Using an Integrated Model With Three Submodels | Chen, Shaohui | Land Surface Temperature, Emissivity, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Brightness Temperature, Surface Soil Moisture | |
| Dependence of Soil Moisture and Strength on Topography and Vegetation Varies Within a SMAP Grid Cell | Bindner, Joseph R., Proulx, Holly, Wickham, Kevin, Niemann, Jeffrey D., Scalia, Joseph, Green, Timothy R., Grazaitis, Peter J. | Brightness Temperature, Surface Soil Moisture | |
| Detecting the onset of rice field inundation in the Lower Mississippi River Basin via Harmonized Landsat Sentinel-2 (HLS) satellite time series | Deng, Yawen, Peng, Bin, Guan, Kaiyu, Runkle, Benjamin R.K., Moreno-Garcia, Beatriz, Wu, Xiaocui, Wang, Sheng, Zhou, Qu, Reba, Michele L. | Reflectance, Brightness Temperature, Surface Soil Moisture | |
| Deep learning of seasonal peak snow water content of global boreal | Kumawat, Divya, Ebtehaj, Ardeshir, Kumar, Sujay, Colliander, Andreas | Snow Water Equivalent, Brightness Temperature, Surface Soil Moisture | |
| How Does Assimilating SMAP Soil Moisture Improve Characterization of the Terrestrial Water Cycle in an Integrated Land Surface-Subsurface Model? | Zhao, Haojin, Montzka, Carsten, Keller, Johannes, Li, Fang, Vereecken, Harry, Hendricks Franssen, HarrieJan | Brightness Temperature, SIGMA NAUGHT, Soil Moisture/Water Content, Surface Soil Moisture | |
| Fallowed agricultural lands dominate anthropogenic dust sources in California | Adebiyi, Adeyemi A., Kibria, Md. Minhazul, Abatzoglou, John T., Ginoux, Paul, Pandey, Satyendra, Heaney, Alexandra, Chen, Shu-Hua, Akinsanola, Akintomide A. | Emissivity, Land Surface Temperature, Brightness Temperature, Surface Soil Moisture | |
| Multi-layer grid-scale soil moisture estimation using spatiotemporal deep learning methods with physical constraints | Zhang, Tuantuan, Liang, Zhongmin, Zhou, Jianhong, Shao, Quanxi, Sarukkalige, Ranjan, Lu, Haishen, Zhang, Jiangjiang, Bi, Chenglin, Wang, Jun, Hu, Yiming, Li, Binquan | Brightness Temperature, Surface Soil Moisture | |
| Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics | Nayak, Aruna Kumar, Xu, Xiaoyong, Frey, Steven K., Khader, Omar, Erler, Andre R., Lapen, David R., Russell, Hazen A. J., Sudicky, Edward A. | Brightness Temperature, SIGMA NAUGHT, Surface Soil Moisture | |
| Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone | Huang, Min, Carmichael, Gregory R., Bowman, Kevin W., De Smedt, Isabelle, Colliander, Andreas, Cosh, Michael H., Kumar, Sujay V., Guenther, Alex B., Janz, Scott J., Stauffer, Ryan M., Thompson, Anne M., Fedkin, Niko M., Swap, Robert J., Bolten, John D., Joseph, Alicia T. | Atmospheric Carbon Monoxide, Peroxyacetyl Nitrate, Atmospheric Ozone, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Surface Soil Moisture | |
| A Theory of Maximum Entropy Production and Its Application to Microwave | Wang, J., Cho, K., NegronJuarez, R. I., Colliander, A., Caravasi, E. C., Revilla, N. S. | Reflectance, Soil Moisture/Water Content, Soil Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Surface Soil Moisture | |
| A Novel Downscaling Approach based on Multi-Frequency Microwave Radiometry toward Finer Scale Global Soil Moisture Mapping | Song, Peilin, Zhao, Tianjie, Shi, Jiancheng, Zhang, Yongqiang, Zheng, Jingyao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture | |
| Characterizing the 2019-2021 drought in La Plata River Basin with GLDAS and SMAP | Besnier, Jessica, Getirana, Augusto, Beaudoing, Hiroko, Lakshmi, Venkataraman | 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, Ground Water, Brightness Temperature, Surface Soil Moisture | |
| Machine-Learning Based Multi-Layer Soil Moisture Forecasts-An | Du, J., Kimball, J. S., Jencso, K., Hoylman, Z., Brust, C., Ketchum, D., Xu, Y., Lu, H., Sheffield, J. | Land Surface Temperature, Emissivity, Brightness Temperature, Surface Soil Moisture |