The NBSOIL GIS Tool provides real-time access to information in a user-friendly and efficient manner, making it highly valuable for crop monitoring using time series of satellite images. It enables users to assess within-field variability and evaluate strategies for managing water and nutrients in crops, among other applications. The system, developed by NBSOIL partners AgriSat, comprises the platform and the app.
The GIS Tool system includes a map viewer that supports the visualisation and temporal analysis of various Earth Observation data sources, such as images from the Sentinel-2 satellites, operated by the European Space Agency, and Landsat, operated by NASA. The system can also incorporate other types of georeferenced information, including data accessed via connectivity with other Spatial Data Infrastructures (SDIs) or data generated by external models and databases, such as ARIES.
A key strength of the NBSOIL GIS Tool system is its versatility and flexibility. It can be tailored to individual users and projects, allowing the creation of work groups with either local or global geographical scope. This includes customised access to and management of information—ranging from editing records to uploading and downloading raster and vector geospatial data. Users can also personalise the map viewer and configure the display styles of geospatial information. These settings can be assigned to specific users or work groups, along with language preferences. The system offers on-the-fly multilingual support, providing translations in a wide range of languages.
Watch the video tutorial below for a complete walkthrough of the tool in action and click here to go to the tool.
Project coordinator
Grzegorz Siebielec,
IUNG
gs@iung.pulawy.pl
Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
This work has received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee grant number 10061997.
This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI).
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