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ABOUT US    

GEOTERRAIMAGE is a privately owned company, which has been providing geographical information services and products to a wide range of public and commercial sectors in support of business intelligence and planning decisions since 1999. Typical clients have included Telecoms organisations, Banks, Agricultural institutions, Municipalities, Commercial organisations, NGO’s, Environmental institutions and national and provincial Government Departments.

 

GEOTERRAIMAGE operates as an independent entity and as well as a partner of choice for collaborative work, using our unique skills and capabilities in various projects and applications, to empower clients to make informed decisions. The company is based in Pretoria, South Africa, but operates throughout Africa and internationally. GEOTERRAIMAGE has perfected the scientific art of extracting information from geo-spatial data and images – unleashing the power of imagery to improve business intelligence!

     
Key Projects

GEOTERRAIMAGE has exceptional in-depth industry experience, both within South Africa and across the African continent, in a wide range of projects.

LAND COVER & LAND USE PROJECTS

  • Key Land Cover projects have included tenders awarded by the Department of Surveying and Mapping in Botswana, to map 6 of the country’s districts so far, in support of the department’s national land cover strategy. Not only did GEOTERRAIMAGE produce the land cover maps, but also trained the department in satellite imagery interpretation and remote sensing techniques for land cover mapping.

  • In 2012, GEOTERRAIMAGE released the first wall-to-wall provincial 2.5m resolution land cover map for the Gauteng province in South Africa. This comprehensive land cover map has been used by planning departments and institutions to develop models of the environment in a variety of sectors.
  • A detailed land-cover dataset of Limpopo Province, South Africa was generated using primarily single date 10m resolution SPOT5 imagery from 2009. The dataset provides a detailed inventory and status overview of the Limpopo Province landscape in terms of both natural and transformed (i.e. man-made) land-cover and land-use activities. The dataset was created in support of ESKOM’s management, planning and monitoring activities associated with capital developments within Limpopo Province. The land-cover data was generated using digital desk-top only mapping and modelling procedures, and was produced in raster data format suitable for use in a Geographic Information System (GIS).

  • GEOTERRAIMAGE has successfully completed several land-cover and land-use mapping projects for Chief Directorate: National Geospatial Information (CD:NGI) as part of both test-case evaluations of new mapping standards, and the operational production of land-cover data over the North West Province. Theses mapping activities have utilised a combination of the new CD:NGI Colour Infrared (CIR) aerial photography and SPOT5 satellite imagery. GEOTERRAIMAGE was previously involved in the consultative processes leading to the formulation of the proposed new land-cover and land-use mapping standards for South Africa.
  • As part of the process of identifying and prioritising wetlands for rehabilitation work nationally, GEOTERRAIMAGE developed a spatially based GIS (Geographic Information System) modelling tool for the wetland rehabilitation research programme, co-funded by the Water Research Commission (WRC) and Working for Wetlands, in 2004. This GIS-based modelling tool allowed end-users to create different scenario’s for identifying and prioritising tertiary catchments within which to focus wetland rehabilitation interventions. (SANBI)

  • Land cover classification mapping of the Inkomati River basin were generated from 2012 imagery. These data maps served as a spatial base to determine water use. GEOTERRAIMAGE as part of the WatPlan team, a collaborative project under the European Union funding, used satellite earth observations to develop an "Operational Monitoring Product for Planning and Water Allocation in the International Inkomati Basin". This was achieved through earth observation and in-situ ground measurements to deliver weekly water management indicators for water resource allocation such as water use and evaporation (ET), biomass production, ET deficit and rainfall. The land cover map included detail information on annual and permanent agricultural crop types such as sugar cane, orchards containing subtropical fruits and nuts as well as grains crops. Information on crop types allowed the accurate calculation of water use parameters such as evapotranspiration and biomass development for specific crop types.

  • GEOTERRAIMAGE has been appointed by the international Peace Parks Foundation as the preferred provider of remotely sensed land cover maps. Currently in progress, is the creation of a standardised vegetation / land-cover database for all the proposed South African Transfrontier Conservation Areas, based on multi-seasonal Landsat imagery acquired in 2005. To-date approximately 70 million ha of proposed and / or actual conservation areas in southern Africa has been mapped.
  • GEOTERRAIMAGE has developed land use data sets for 27 towns across South Africa, including all the Metropolitan areas. The Metropolitan datasets, including 70 land use classes, have allowed many municipalities and commercial institutions to assess growth, activity and settlement patterns from these datasets. Demand forecasting projects by ESKOM has seen this data come into its full potential.

  • The CSIR: Built Environment department has been using GEOTERRAIMAGE data to produce reports and analyses in the field of Urban Growth Predictions.

  • The Gauteng City-Region Observatory (GCRO) utilises GEOTERRAIMAGE land use and land cover data as input data for a variety of different studies and projects. For example, land cover data was used to define and identify the core and peripheral areas for the whole of Gauteng. Another study revealed the extent of Gauteng’s green infrastructure network compared to grey infrastructure. Still another study used the data to reflect various settlement typologies across Gauteng.

  • The City of Johannesburg has used the GEOTERRAIMAGE building based land use data to embark on a project that would quantifying the occurrence of informal and backyard housing structures.

TELECOMMUNICATIONS
  • GEOTERRAIMAGE is an internationally recognised provider of telecommunication planning data services in Africa. Complete RF planning data sets (consisting of clutter, heights and vectors), at national level for all African countries, have been generated in-house from continent-wide coverage Landsat imagery. This includes information on the location and extent of urban / settlement polygons, wetlands and water bodies as well as relevant vegetation structures coverage. Data is available at 20m and 40m resolution.

  • To compliment the telecommunications planning data, GEOTERRAIMAGE has also developed a base dataset indicating the Settlement Densities for most all African countries, taking into account land cover data, land use data, existing population densities and the latest population estimations.

  • GEOTERRAIMAGE has established itself in terms of detailed urban data sets (consisting of clutter, heights and vectors) for RF planning for over 300 cities in Africa, including the capital cities of most countries. This information has been generated from a variety of high resolution satellite images and ancillary data to provide a complete set of clutter (land-use / land-cover) classes. Recognising the unique structure of African cities, clutter data packages have been specifically designed to benefit RF planning activities by including vegetation structure as well residential types. Data is available at 50cm, 5m, 10m and 20m resolution.

AGRICULTURE
  • GEOTERRAIMAGE in collaboration with other members of the National Crop Statistics Consortium has recently completed a national mapping programme which digitally captured the boundary of each individual crop production field across all of South Africa, in order to establish a definitive national database on agricultural lands. The database, which comprise of approximately 800 000 fields, covering a total of 13 million hectares, has been upgraded from a Landsat derived product to a higher detail SPOT5 derived product, and is the core component of the Department of Agriculture’s annual crop forecasting programme. All the field boundaries were updated during 2012, using SPOT5 imaging recorded in 2011. The company has been involved with this project since 2005.

  • As part of the annual survey activities to determine the area planted with crop types, GEOTERRAIMAGE performs a stratification process to identify fields that have been ploughed in preparation for planting. These fields are identified through satellite imagery recorded at the time field preparation where image processing techniques are used to identify these fields that have a "fallow" spectral appearance with the assumption that they have the highest probability to be planted with crops of interest. The "fallow" appearing fields that been ploughed in preparation for planting are spatially selected and used for high probability in selection of sampling pints for the area survey.

  • GEOTERRAIMAGE as part of the National Crop Statistics Consortium, has successfully completed, per-field, crop type classifications from satellite imagery since 2007, for the Free State Province. Field boundary polygons for the province were used as framework for statistical aerial surveys (PICES) to capture crop type information. This information was used to calibrate the multi-seasonal satellite imagery recorded from August up to May every year. The multi-seasonal imagery captures crop development and phenology (vegetative growth stages) for winter and summer crops. At the end of each summer season, crop types are determined and assigned to each field parcel polygon for that year. The most important summer grain crops such as maize, sunflower, sorghum and soya beans are then combined with winter grain crops such as wheat and oats into a single spatial layer depicting provincial crop type information.




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