Online Analysis of Remote Sensing Data for Agricultural Applications Full text

Athanasios Karmas, Konstantinos Karantzalos, Spiros Athanasiou
FOSS4G-Europe 2014
Abstract. US Landsat and EU Sentinel missions -will shortly- provide massive multi-temporal remote sensing data. Therefore, the development of efficient technologies for their direct manipulation and processing 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 for storage, and the Open Geospatial Consortium Web Coverage Processing Service for data querying. Various 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 on-line ad-hoc spatial and spectral remote sensing 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 with similar processes performed from standard desktop remote sensing and GIS software.