Integration of knowledge: soil maps, weather, risk maps…
Within the framework of the LIFE project, sigAGROasesor has worked on the standardisation of GIS information of the variables included in the platform, based on knowledge and existing resources, the interaction between them or new information generated in the project. This creates a Spatial Data Infrastructure (IDE) that has been integrated into the expert system of Decision Support Tools (DST) in webGIS format.
Version V3 of the platform includes all the information generated in the three years of the project:
Integration of soil maps, establishing a single heading for soil maps from different sources: The new sigAGROasesor platform has a map module that allows soil maps to be uploaded in vector or raster format, and allocate parameters to each plot that are extracted from each layer. Low-resolution soil maps have been incorporated at the national level, and also more accurate soil maps for those territories where this informatic is available.
Climate and meteorology information in GIS format: During the project agroclimatic characterisation maps have been generated for all the national territory that uses the sigAGROasesor platform. This platform has a meteorological module that manages all the climate information used by the decision support tools. The different tools use weather forecast data for the 7 days following the date of consultation. Twice a week (Monday and Thursday) AEMET feeds into the application national maps with maximum and minimum temperature forecasts, maximum and minimum daily relative humidity, daily precipitation and daily evapotranspiration forecast for the Iberian Peninsula and the Balearic Islands, for the 7 days following the upload date.
Integration of remote sensing images and Vegetation Index Maps The remote sensing module allows the uploading of three types of image for each geographical area covered by data, The uploading of satellite images is done with atmospheric correction:
Normalized Difference Vegetation Index (NDVI)
Soil Adjusted Vegetation Index (SAVI)
The Irrigation DST has a remote sensing module that allows the adjustment of the theoretical curve of the basal crop coefficient to the real growth of the crop recorded by remote sensors (satellite images),
Biotic and abiotic risks maps: within the framework of the sigAGROasesor project two historic risk maps have been drawn up for the diseases of brown rust in wheat and corn borer. In both cases, they are an initial working proposition and their functioning and possible improvement continues to be evaluate These maps come under the recommendations made by the VARIETIES DST