Spatial Data Management and Analysis

We capture data from a variety of sources: hardcopy or scanned maps, aerial photographs, existing spatial and/or non-spatial data. We assess the source data to determine the most efficient method of capturing the data and agree the required accuracy and scale with the client to ensure the digitised data meets the client’s specification. Bespoke data capture tools may be used to ensure that attribute data is captured efficiently to a consistently high standard.

A number of methods can be applied to identify and determine Land Use / Cover Change over reoccurring years, indicating patterns of change. Land Use and Land Cover maps can be derived from semi-automated land cover classification algorithms performed on optical data. We are able to predict and model future land use change derived from past land use change trends and with the inclusion of influencing factors affecting the rate of changes (e.g. population growth), based on probability modelling spatial software.

LTS provides solutions to monitor forest changes and to quantify forest biomass at high spatial and temporal resolution, including negative changes (forest loss as a result of deforestation and degradation) as well as positive changes (i.e. afforestation and reforestation).

We offer a data cleansing and verification service and review existing data, required output format and quality criteria to determine the best approach to cleanse the existing data. 


We are hiring a Training and Events Administrator for the CSSF Fund. Please see for more in…
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