Land Management and Conservation
Understanding what vegetation is where plays a crucial role in effective land management and conservation practices. Geo Smart Decisions has worked with clients to develop species distribution models using GIS data as well as imagery from satellite Earth Observation, that identify areas that, with appropriate management, could serve as habitats to sensitive plants that are otherwise in decline.
Satellite Earth Observation, coupled with extensive field data and knowledge provided by our clients, enables in-house consultants and experts at Geo Smart Decisions to use advanced analytical techniques in data modelling to create reliable and robust models. GSD also works with land conservation surveyors, collecting and managing field data using mobile applications in the field. Current work in this area involves the assessment of areas of peat over Wales and will enable Natural Resources Wales, the managing authority for land management in Wales, to monitory and manage the regeneration of peat in Wales over the coming years and decades ahead.
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Multi-Temporal Earth Observation to Map Vegetation Dynamics in KSA
GSD was tasked with providing remotely sensed analysis for a very large region of Saudi Arabia for this confidential client. The goals of this project were to provide historical vegetation analysis as well as an assessment of current land cover patterns.
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Island Land Cover Mapping
GSD has in house experts experienced in identifying land cover from remotely sensed data - satellite Earth Observation. GSD tackled this task over a multitude of spatial and temporal scales. At GSD we pride ourselves in keeping abreast with the latest mapping techniques, to stay on the cutting edge of remote sensing and provide the highest quality with upmost confidence in our results.
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Water Quality - The World Islands
GSD used satellite Earth Observation to analyse freely available satellite imagery to contribute to our client’s understanding of patterns in water quality both in the local area and in the region. This was to enable a more informed assessment of the risk of algal blooms occurring in close proximity.