Academic Track Paper

Online analysis of remote sensing data for agricultural applications


A. Karmas, K. Karantzalos, S. Athanasiou


Presenter Biography: 

Athanasios Karmas is an undergraduate student at the School of Electrical and Computer Engineering at National Technical University of Athens.


US Landsat and EU Sentinel missions will shortly provide multitemporal remote sensing data of unlimited volume. Therefore, the development of efficient technologies for the direct manipulation and processing of geodata is of fundamental importance. Towards this direction, we present a WebGIS system for the online analysis of open remote sensing data and for precision agriculture applications. In particular, the core functionality consists of the Rasdaman Array Database Management System (DBMS) for storage, and the Open Geospatial Consortium (OGC) Web Coverage Processing Service (WCPS) for data querying. Various WCPS queries have been designed and implemented in order to access and process multispectral satellite imagery. The WebGIS client, which is based on the OpenLayers and GeoExt javascript libraries, exploits these queries enabling the online ad-hoc spatial and spectral multispectral data analysis. The currently under development framework is fully covering Greece with Landsat 8 multispectral data which are stored and pre-processed automatically in our hardware for demonstration purposes. The developed queries, which are focusing on agricultural applications, can efficiently estimate vegetation coverage, canopy and water stress over agricultural and forest areas. The online delivered remote sensing products have been evaluated and compared based on similar processes from standard commercial desktop remote sensing and GIS software.

? Top