W G M Bastiaanssen

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2012-01 Five methods to interpret field measurements of energy fluxes over a micro-sprinkler-irrigated mango orchard in IRRIGATION SCIENCE
  • 2012 Remote Sensing for Viticultural Research and Production in THE GEOGRAPHY OF WINE
  • 2010-09 Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions in WATER RESOURCES MANAGEMENT
  • 2009-03 Combining remote sensing and economic analysis to support decisions that affect water productivity in IRRIGATION SCIENCE
  • 2005-11 Editorial: Special issue on remote sensing of crop evapotranspiration for large regions in IRRIGATION AND DRAINAGE SYSTEMS
  • 2005-11 Managing scarce water resources in Asia: The nature of the problem and can remote sensing help? in IRRIGATION AND DRAINAGE SYSTEMS
  • 2005-10 A new technique to estimate net groundwater use across large irrigated areas by combining remote sensing and water balance approaches, Rechna Doab, Pakistan in HYDROGEOLOGY JOURNAL
  • 2005 Estimation of Regional Actual Evapotranspiration in the Panama Canal Watershed in THE RÍO CHAGRES, PANAMA
  • 2003-08 Retrieving Soil Moisture Storage in the Unsaturated Zone Using Satellite Imagery and Bi-Annual Phreatic Surface Fluctuations in IRRIGATION AND DRAINAGE SYSTEMS
  • 2001-12 Evaporative depletion assessments for irrigated watersheds in Sri Lanka in IRRIGATION SCIENCE
  • 2001-02 Low Cost Satellite Data for Monthly Irrigation Performance Monitoring: Benchmarks from Nilo Coelho, Brazil in IRRIGATION AND DRAINAGE SYSTEMS
  • 2001 Soil moisture conditions in The Netherlands during the summer of 1995 interpreted from satellite measurements in GIS AND REMOTE SENSING TECHNIQUES IN LAND- AND WATER-MANAGEMENT
  • 2000-11 Devaluating Drainage Design Parameters for the Fourth Drainage Project, Pakistan by using SWAP Model: Part I – Calibration in IRRIGATION AND DRAINAGE SYSTEMS
  • 2000-08 A New Simple Method to Determine Crop Coefficients for Water Allocation Planning from Satellites: Results from Kenya in IRRIGATION AND DRAINAGE SYSTEMS
  • 2000 Earth Observation Demands for Improved Water Resources Management in OBSERVING LAND FROM SPACE: SCIENCE, CUSTOMERS AND TECHNOLOGY
  • 1999-12 Irrigation Performance Indicators Based on Remotely Sensed Data: a Review of Literature in IRRIGATION AND DRAINAGE SYSTEMS
  • 1997-12 Relating Crop Water Consumption to Irrigation Water Supply by Remote Sensing in WATER RESOURCES MANAGEMENT
  • 1996-02 Diagnosis of regional evaporation by remote sensing to support irrigation performance assessment in IRRIGATION AND DRAINAGE SYSTEMS
  • 1996 Remote Sensing Parameterization of Meso-scale Land Surface Evaporation in RADIATION AND WATER IN THE CLIMATE SYSTEM
  • 1995 Model parametrization and data needs in SCENARIO STUDIES FOR THE RURAL ENVIRONMENT
  • 1992 Forecasting Soil-Water-Plant-Atmosphere Interactions in Arid Regions in WATER SAVING TECHNIQUES FOR PLANT GROWTH
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.5292.c", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "https://www.grid.ac/institutes/grid.420326.1", 
            "type": "Organization"
        "familyName": "Bastiaanssen", 
        "givenName": "W G M", 
        "id": "sg:person.013760331271.05", 
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:40", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1454.json", 
        "type": "Person"

    Download the RDF metadata as:  json-ld nt turtle xml License info


    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.013760331271.05'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.013760331271.05'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.013760331271.05'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.013760331271.05'


    Preview window. Press ESC to close (or click here)