{
  "accessLevel": "public",
  "bureauCode": [
    "010:12"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "Haoxuan Yang",
    "hasEmail": "mailto:yhx965665334@163.com"
  },
  "description": "We simulated a 3-hour, 1-km spatially seamless surface soil moisture (SSM) dataset (called STF_SSM) in the Contiguous United States (CONUS) using a virtual image pair-based spatio-temporal fusion method. This proposed approach effectively fuses the distinct advantages of two long-term SSM datasets, namely, the Soil Moisture Active Passive (SMAP) L4 SSM product and the Crop Condition and Soil Moisture Analytics (Crop-CASMA) dataset. The SMAP L4 product provides spatially seamless SSM observations with a 3-hour temporal resolution but at a 9-km spatial resolution, while the Crop-CASMA SSM dataset offers a finer spatial resolution of 1 km but has a daily temporal resolution and contains spatial gaps. By referring to the ground-based in-situ data, the mean correlation coefficients (CC) are 0.716 at the daily scale and 0.689 at the 3-hour scale. This dataset provides a critical data source for the calibration and validation of land surface models.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "accessURL": "https://doi.org/10.5066/P13CCN69",
      "description": "Landing page for access to the data",
      "format": "XML",
      "mediaType": "application/http",
      "title": "Digital Data"
    },
    {
      "@type": "dcat:Distribution",
      "description": "The metadata original format",
      "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.67e30fc5d34ee7f142216e77.xml",
      "format": "XML",
      "mediaType": "text/xml",
      "title": "Original Metadata"
    }
  ],
  "identifier": "http://datainventory.doi.gov/id/dataset/USGS_67e30fc5d34ee7f142216e77",
  "keyword": [
    "USGS:67e30fc5d34ee7f142216e77",
    "climatologyMeteorologyAtmosphere",
    "droughts",
    "geoscientificInformation",
    "geospatial datasets",
    "hydrology",
    "imageryBaseMapsEarthCover",
    "remote sensing",
    "soil moisture"
  ],
  "modified": "2025-05-05T00:00:00Z",
  "publisher": {
    "@type": "org:Organization",
    "name": "U.S. Geological Survey"
  },
  "spatial": "-127.8420, 23.2527, -65.4026, 51.5388",
  "theme": [
    "geospatial"
  ],
  "title": "3-hour, 1-km surface soil moisture dataset for the contiguous United States for 2016"
}