{"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": ["remote sensing", "watershed modeling", "hydrology", "leaf area index"], "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"}