ABSTRACT:For service providers developing commercial value-added data content based on remote sensing technologies, the focus is to typically create commercially appropriate geospatial information which has downstream business value. The primary aim being to link locational intelligence with business intelligence in order to better make informed decisions. From a geospatial perspective this locational information must be relevant, informative, and most importantly current; with the ability to maintain the information timeously into the future for change detection purposes. Aligned with this, GeoTerraImage has successfully embarked on the production of land-cover / land-use content over southern Africa. The ability for a private company to successfully implement and complete such an exercise has been the capability to leverage the combined advantages of cutting edge data processing technologies and methodologies, with emphasis on processing repeatability and speed, and the use of a wide range of readily available imagery. These production workflows utilise a wide range of integrated procedures including machine learning algorithms, innovative use of non-specialists for sourcing of reference data, and conventional pixel and object-based image classification routines, and experienced/expert landscape interpretation. This multi-faceted approach to data produce development demonstrates the capability for SMME 1 level commercial entities such as GeoTerraImage to generate industry applicable large data content, in this case, wide area coverage land-cover and land-use data across the sub-continent. Within this development, the emphasis has been placed on the key land-use information, such as mining, human settlements, and agriculture, given the importance of this geo-spatial land-use information in business and socio-economic applications and decision making.
MANUSCRIPTThe Earth Observation (EO) industry has seen significant changes in terms of its data availability and processing abilities in the last 24-36 months. There is a clear shift from the conventional and long-term traditional data access and processing workflows (which were relevant merely a decade ago), to big data crunching algorithms, cloud-based computing and real-time information processing, supported by internet and technological giants. The changes seen and experienced in the EO industry have been daunting if unexpected, or exciting if prepared. This paper describes the short story of a commercial focused company, GeoTerra Image (GTI) in South Africa, that is set on proving its capability in adapting to the changing EO industry. In order to remain both relevant and competitive , GTI has embraced these changes, and rapidly adapted to a new way of thinking, thus proving that regardless of the size and location of any commercial EO organisation, there is still relevance and opportunity to their existence.GTI is a small commercially focussed company based in South Africa, which uses EO technologies to provide solution driven services to many market sectors ...