| dc.description.abstract | Our goal is to create a fully autonomous airborne remote sensing platform, for the production of various vegetation indices to determine growth, development, yield crop and provide considerable information in real time and at low cost (compared with existing methods) for the study area. The primary tool for extraction and production of the information is an unmanned aerial system (UAS) that carries sensors and cameras flying over the study area, transmitting real time data that has been programmed to collect. The collected data is land cover, geographic location, weather data, geomorphologic and cadastral data, ortho-corrected derivatives and qualitative data type coverage, biomass and other parameters that have been introduced to the platform via computational GIS routines. This idea emerged during the analysis of the functional ecology in Greek agro-ecosystems within spatial information and mapping. To take full advantage of dynamic tools of IT, such as Geographic Information Systems and Expert Systems, Global Positioning Systems, Remote Sensing and Agriculture Engineering tools. The platform named "Skiptrovamon" has numerous applications and is used as a tool in many scientific fields, such as; precision agriculture, geography, geomorphology, topography, urban geography, and remote sensing. Skiptrovamon was designed and has been tested as remote sensing platform for precision agriculture. As the aircraft flies over the study area it collects information from cropland and outputs, yield crop, current biomass, indicate the stressed plants and possible lack or adequate irrigation and fertilization in real time through computational routines. Copyright © (2013) by the American Society for Photogrammetry & Remote Sensing. | en |
