The Department of Water Resources has developed and/or co-developed a number of models and demos to retrieve and handle environmental information from earth observation data.
SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes) is a simulation model for quantitative remote sensing of vegetation and land surface processes. It describes radiative and non-radiative energy fluxes in the soil-vegetation-atmosphere system.
The GEONETCast Toolbox is a plug-in for ILWIS, offering utilities that facilitate easy import of various satellite and environmental data / products that are disseminated via GEONETCast, into a common GIS environment.
iAqueduct aims to close the gap between satellite observation of the global water cycle and the need for local information for sustainable water resource management, by converting coarse resolution data into fine scale water information.
SPART (Soil-Plant-Atmosphere Radiative Transfer) is a simulation model for soil-vegetation-atmosphere systems. The model uses three computationally efficient RTMs for soil (BSM), vegetation canopies (PROSAIL) and atmosphere (SMAC), respectively.
2SeaColor is a two-stream remote sensing model for water quality mapping developed at the Department of Water Resources.
STEMMUS (Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil) is a 1D numerical solver taking into account soil water movement, soil air flow, soil heat flow, and root water uptake processes.
Earth Observation Models
- SCOPE
SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes) is a simulation model for quantitative remote sensing of vegetation and land surface processes. It describes radiative and non-radiative energy fluxes in the soil-vegetation-atmosphere system. More information about Scope.
- SPART
SPART (Soil-Plant-Atmosphere Radiative Transfer) is a simulation model for soil-vegetation-atmosphere systems. The model uses three computationally efficient RTMs for soil (BSM), vegetation canopies (PROSAIL) and atmosphere (SMAC), respectively. It simulates remote sensing signals both above vegetation canopies and top of the atmosphere, and supports quantitative remote sensing of vegetation. It is written in Matlab and has been translated to Python. More information can be found here: https://github.com/peiqiyang/SPART
- STEMMUS
STEMMUS (Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil) is a 1D numerical solver taking into account soil water movement, soil air flow, soil heat flow, and root water uptake processes. Further information, including model description, downloads, instructions for use, publications and points of contact can be found here: https://www.itc.nl/about-itc/organization/scientific-departments/water-resources/stemmus/
- 2SeaColor
2SeaColor is a two-stream remote sensing model for water quality mapping developed at the Dept of Water Resources. More information can be found here: https://research.utwente.nl/en/publications/two-stream-remote-sensing-model-for-water-quality-mapping-2seacol and the model can be downloaded here: https://github.com/suhybsalama/2SeaColor.
- DATTUTDUT
DATTUTDUT (Deriving Atmosphere Turbulent Transport Useful To Dummies Using Temperature) is a very simple fully automated model for remote sensing-based estimates of turbulent heat and water vapor fluxes and daily actual evapotranspiration rates utilizing only a temperature image. More information is available from https://research.utwente.nl/en/publications/utility-of-an-automated-thermal-based-approach-for-monitoring-eva-2. The model can be downloaded from Github: https://github.com/ClaireBrenner/DATTUTDUT and is implemented as a plugin in QGIS: https://plugins.qgis.org/plugins/qwatermodel/
Tools
- GEONETCast Toolbox
The GEONETCast Toolbox is a standalone utility developed in Python that allows the retrieval of various data sources provided by EUMETCast/GEONETCast.
- MAJISYS (time series toolbox)
MAJISYS is a free and open source web-based tool for the management, analysis and visualization of time series. MAJISYS is the result of a development cooperation under the IWRAP programme between the University of Twente (Faculty ITC, departments GIP and WRS), Deltares and Upande. More information: https://www.itc.nl/about-itc/organization/scientific-departments/water-resources/majisys/
- iAqueduct (downscaling toolbox)
iAqueduct aims to close the gap between satellite observation of the global water cycle and the need for local information for sustainable water resource management, by converting coarse resolution data into fine scale water information. An iAqueduct online toolbox to downscale Sentinel SM product at 1km to 16cm using UAV data can be accessed here: http://iaqueduct.itc.utwente.nl/iaqueduct/. The overall project for which iAqueduct is developed and project partners are described here: https://www.costharmonious.eu/iaqueduct-water-jpi/
Other websites with useful tools/code developed by WRS researchers
- STRAWPANTS
Handling of data from geodetic satellites. https://github.com/strawpants
SOFTWARE
- ILWIS 3.8.6. Integrated Land and Water Information System
ILWIS, the Integrated Land and Water Information System is a geographic information system and remote sensing software for both vector and raster processing. Its features include digitizing, editing, analysis and display of data, and production of quality maps.
More information and downloads can be found on the ILWIS webpage.
- ILWISPy Geo-Processing Tool
ILWISPy is a Geo‐Processing Tool which can be used as a site‐package under Python. The main objective of ILWISPy is to 'achieve more with less coding' and 'increase flexibility'. ILWISPy has a large library of commonly used GIS and RS operations which can be easily coded through single line statements. The core is based on C++ and is fast. This capability, together with other Python sitepackages, offers great flexibility in data retrieval, (pre‐) processing and analysis, far exceeding those offered through Graphical User Interface (GUI) Geo‐processing tools.
More information and download can be found on the ILWISPy Geo-Processing Tool webpage.