The client is a leading mining company based in West Africa and has interests in Phosphate and Uranium.
The project fell in the area surrounding two villages in Republic of Congo.
The project requirement consisted of mapping of land use land cover classes from ortho photos.
The SBL technical team prepared a land use classification scheme tailored to the client's specifications, based on the local geography. The land use land cover classes demarcated from the images included: buildings, vegetation, agricultural lands, pipelines, fences, roads, bridges, rail etc. Buildings and vegetation classes were also further subdivided into various categories based on the requirement of the client.
Ortho rectified aerial photographs, Digital Terrain Model etc were used as input data for the studies. ARC GIS and Map Info software were used for the study.
The final data was supplied in TAB format to be used in their MapInfo software. We also supplied sample files in ESRI shape.
Client benefits included:
A leading geospatial organization in Canada providing specialised services in forestry.
Newfoundland and Labrador (13920 sq.km) (District 16 North and District 17 and District 18 South) in 2010 and 2011.
The proposed work involved the digital capture of forest parcel boundaries and their attributisation.
Arial photographs, ArcGIS, DT Master, Inpho, AutoCAD
The client was an infrastructure contractor in The Netherlands
Rotterdam, The Netherlands
To locate tree coverage along the entire major motorways network; the preparation of a height model, along with the crown cover span.
The input LiDAR data in las file format was corrected for anomalies. Ground and non-ground classifications were generated by creating suitable filter models. Outlier points were detected and corrected. Following this the SBL technical team then created a bare earth model and, using this model, ortho-rectified the aerial photographs. The data was clipped to the study area using municipal boundary files provided by client. Tree types were identified and their locations marked as 3d cells; heights were calculated with the help of the bare earth surface model. Finally, tree crown outlines were captured automatically, prior to undergoing a rigorous manual QA process. The output was delivered as fully-attributed ESRI shape files.
Aerial Photography and LiDAR data in las format were used as the input data. Software used included Terra scan and Terra modeler.
The client was a Denmark based leading Geospatial organisation.
Confidential.
Digital Terrain Model (DTM) Creation.
The input data provided by the client in xyz las format was corrected for anomalies. The main objective of the work was to classify the ground and off-ground points and situate them correctly and accurately. A filtering technique was adopted and the data was classified as ground and off-ground. A Digital Terrain Model was then created and anomalies were detected and corrected.
: LiDAR data in las file format. Software used included Terra Scan and Terra Model.
The client is a research and development organisation working within the economic and social sectors.
13,632 hectares of land in parts of Thrissur and Malappuram districts of Kerala.
The client requirements were:
SBL completed the following
ARC GIS 9.x, Survey of India toposheets, Multi date IRS satellite images.
The benefits to the client included:
The client is a town planning, conservation and sustainable development consultant.
10,851 sq.km of land in parts of Queensland and New South Wales in Australia.
The main client requirement was to complete an aerial triangulation of the area of interest and to produce stereo images from it. The ultimate objective was the creation of high quality ortho photos for use in the planning, expansion and development of the areas covered.
SBL used the following techniques to complete the project:
Inpho Match AT, DT Master, Ortho Master, Ortho Vista and ArcGIS
The client received significant benefits from this project including:
Located in Indonesia, the client is an independent mining company with a world-class portfolio of iron ore projects in South America and Asia.
The study area covered the Central Sulawesi region of Indonesia viz. Waikuli, Waduk Mas Persada, CMK and Masewe and extended to an area of 435 sqkm.
The client required a lithological and structural map for their iron ore exploration.
SBL used the following techniques to complete the project:
ARC GIS
The benefits to the client included:
The client is The University of North Carolina, based in the USA, specialising in Archaeological and Anthropological studies.
The study area covered a commune in Central/ East France.
To study the change detection in land use, river course, and infrastructure, and assess the effects of human intervention in major locations of interest in a Commune in France for an international anthropology project.
SBL used the following techniques to complete the project:
ArcGIS software and scanned historic maps covering different time periods.