RS-model: Remote Sensing based Crop Simulation and Soil-Vegetation-Atmosphere-Transport modelling RS-MODEL (and continuation)

    Project Details


    This is a continuation (2001-2005) of a Danish project originally runining from year 1996 to 2000 within "EARTH OBSERVATION" - an interdisciplinary research programme funded by three Danish Research Councils and the Danish Space Board Committee.


    Interactions between field and landscape scale Soil-Vegetation-Atmospheric Transport (SVAT) will be investigated from experimental field data combined with information from digital remote sensing images. Focus is on surface fluxes of water vapour, heat and CO2.

    The cycles of water, heat and CO2 are important to crop simulation which is relevant for efficient land-use planning, crop management and yield predictions. Expertise on these matters are held by Research Centre Foulum where the field site is located.

    The overall objective is to get a better understanding of the processes from the very fine scale (plant/canopy), over homogeneous fields, to landscape mosaics. Previously developed models from five Danish research institutions will be used jointly to pass relevant information from "point" to "area" with the goal of estimating the H2O and CO2 cycles.


    The research project draws on experimental and theoretical expertise from five Danish research institutes. These are the Department of Agricultural Systems at Research Centre Foulum (Foulum) with Kirsten Schelde as project coordinator

    the Hydrological Modelling Department (HMD) at the Danish Hydraulic Institute (DHI), the Wind Energy and Atmospheric Physics Department (VEA) at Risø National Laboratory (Risø), the Laboratory for Agrohydrology and Bioclimatology (AGSCI) at the Royal Veterinary and Agricultural University (KVL) and the Institute of Geography (GI) at the University of Copenhagen (KU).


    Field investigations on soil properties, vegetation state and local meteorological conditions are long-term research objectives at Research Centre Foulum. Likewise has digital remote sensing from airborne and satellite sensors been investigated. A huge database of field data and remote sensing images exists for the test site collected within among other projects, the DANish Multisensor Airborne Campaing project (DANMAC). These data are available for the current project.

    New data will be collected during field campaigns to obtain contemporary datasets. Measurements will include for canopy: spectral reflectance, temperature, leaf angle distribution, cover fraction, leaf area index, biomass, light absorption and standard agronomic observations. Measurements for soil will include: water content, temperature and standard soil observations. Measurements for atmosphere will include: wind, temperature, radiation, humidity, rainfall and CO2. A tall meteorological mast will provide data relevant for landscape scale evaluation and smaller masts will provide data for field scale use. At landscape scale digital remote sensing imagery will be obtained.


    As the data collected will have to be used by all participants a common data base will be created and maintained at Foulum.

    Researchers at Foulum will analyse the relations between spectral data and canopy development as well as conduct inverse modelling of canopy conductance by SVAT-modelling. This demands a broad set of field scale information on soil, canopy and atmosphere. The processsing of remote sensing data for larger scale model applications will be carried out by scientists involved in climatology and remote sensing research at Institute of Geography, KU.

    The "plant/canopy-scale" soil/plant model DAISY developed at the Royal Veterinary and Agricultural University will be applied and modified by these researchers for use in conjungtion with the "catchment scale" MIKE SHE hydrological model. The MIKE SHE model will be applied by researches from the Danish Hydraulic Institute where this model was developed. The MIKE SHE "landscape scale" flux results will be compared to results from a microscale aggregation model developed at Risø. At Risø the microscale aggregation model is currently being developed from its present state of calculating land surface momentum flux to include scalar surface fluxes such as water vapour, sensible heat and CO2. Model inputs are remote sensing images as well as wind speed and wind direction, air humidity and temperature at one level.

    The two "landscape scale" flux results from respectively, the combined DAISY/MIKE SHE model and the scalar microscale aggregation model, will be validated against fluxes of H2O and CO2 measured at a tall meteorological mast run by Risø.

    Funding of the RS-project

    The Danish Space Board Committee

    The Danish Agricultural and Veterinary Research Council (SJVF)

    The Danish Natural Science Research Council (SNF)

    The Danish Technical Research Council (STVF)

    Charlotte Bay Hasager is partner in the project.

    Effective start/end date01/01/199631/12/2005


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