{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Heather Golden",
    "hasEmail": "mailto:golden.heather@epa.gov"
  },
  "description": "Watershed modeling and MODIS data integration. This dataset is not publicly accessible because: Data is property of Texas A&M University Kingsville. It can be accessed through the following means: Contact Dr. Adnan Rajib, Texas A&M University, Kingsville. Format: Excel spreadsheet. \n\nThis dataset is associated with the following publication:\nRajib, A., I.L. Kim, H. Golden, C. Lane, S. Kumar, Z. Yu, and S. Jeyalakshmi. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(13): 2148, (2020).",
  "distribution": [],
  "identifier": "https://doi.org/10.23719/1518773",
  "keyword": [
    "hydrology",
    "leaf area index",
    "remote sensing",
    "watershed modeling"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
  "modified": "2020-05-01",
  "programCode": [
    "020:096"
  ],
  "publisher": {
    "name": "U.S. EPA Office of Research and Development (ORD)",
    "subOrganizationOf": {
      "name": "U.S. Environmental Protection Agency",
      "subOrganizationOf": {
        "name": "U.S. Government"
      }
    }
  },
  "references": [
    "https://doi.org/10.3390/rs12132148"
  ],
  "rights": null,
  "title": "Watershed modeling and MODIS data integration"
}