Abstract
Satellite based remote sensing has gone through on a significant progress in the last decade which next to larger spatial resolution (either 10 m) also affected the expansion of spectral range (appearance of hyperspectral satellites), the frequency of revisit time (weekly frequency) and the accessibility of assessed data (free of charge). The given remote sensing data ensures large information base to investigate our environment and to monitor the changes especially in the case of dynamically changing vegetation (typically agricultural crops).
Geoinformation products and maps generated from satellite remote sensing data, as decision support tools, largely contribute to the planning and monitoring of various work-phases of precision plant production. However there is no available IT based map service system that uses satellite date and involves complex data analysis and evaluation processes and ensures the generated products to the end-users in simple and plain format.
The main goal of the innovation project is to develop a data service platform that includes the automatic download and process of satellite data and also capable to present and service the produced information in maps on a web-based platform. Our aim is, that the big data and the required storage and IT resource capacity for its process workflow do not charge the target groups, they just only receive the products that have additive information.
During the project we build a satellite data-based geoinformation framework which primarily aims to continuously investigate and map the crops with the largest area (wheat, maize, rapeseed, sunflower) and produces the following products to the end-users:
• investigate heterogeneity in a plot, identify management zones;
• detecting various varieties (e.g. in case of hybrid maize), producing sowing maps;
• mapping changes of vegetation based on time-series data;
• producing yield maps;
• hazard-mapping.
Due to the precision plant production that is based on the spatial data of the service system significant cost reduction can be reached (for example less tillage by knowing management zones, moderated and differentiated fertilizer and pesticide disposal) while environmental hazards are reduced and resource-efficiency is optimized. The realized cost reduction on the farmer side guarantees the user demand and the realization of profit undertaken in the project.
Hungary