Company profile
Rezatec Limited
Innovative Geospatial AI | Rezatec
The geospatial data analytics experts. We give businesses the power to dynamically manage ground assets and critical infrastructure remotely, at scale.
Company events
Reference milestones and recent Companies House filing stream events.
Gazette Dissolved Liquidation
GazetteGAZ2 | Transaction MzQzNTA4MDkzMGFkaXF6a2N4 | Paper/PDF filed
Published 12 Sep 2024 06:03
Incorporated
InceptionCompany registered at Companies House
Public funding
Projects
Sensor & Satelite Asset Alert and Management System (SSAAMS)
1 Nov 2017 to 31 Aug 2019
The Sensor and Satellite Asset Alert and Management System (SSAAMS) project will take a systemic approach to improving infrastructure management of energy, transport and urban earthwork systems. The core innovation of the proposed system is the development of business decision support tools based on the analysis of low cost sensor data, combined with open...
Monitoring and prediction of pasture quality and productivity from satellites
1 Sep 2016 to 30 Nov 2018
Grassland is the dominant land use in the UK and throughout the world. No other habitat is as agriculturally useful to humans, providing food for ruminants (e.g. cattle and sheep), as well as numerous other benefits (e.g. hosting diverse grass and plant species that attract bees). Grazed grass is one of the cheapest feeds on most British dairy farms, yet ...
Environmental data use for determining the temporal carbon flow consequences of biomass for energy
1 Apr 2014 to 31 Mar 2015
Renewable energy targets have led to a growth in demand for woody biomass, in turn leading to a re-assessment of methods for defining sustainable forest management and forest carbon stock. Well managed forest can be both productive and sustainable, maintaining a positive carbon balance whilst providing all sorts of ecosystem services. However, lack of dat...
Optimising sugar beet growth yields through use of space and environmental data
1 Mar 2014 to 28 Feb 2015
The project "Optimsing Sugar Beet Growth Yield through use of Space and Environmental Data" assesses the feasibility of combining earth observation (EO), environmental and in situ farm data to improve harvest productivty for growers of sugar beet and to enhance their capacity to manage the environment around the nation's sugar beet crop. The project bring...
CAL Innovation Voucher Application
1 Nov 2012 to 31 Mar 2013
CAL applies proprietary algorithms and statistical analysis to data, collected by space-based remote sensing systems, in order to calculate carbon stock values – and changes in those values over time – for forested land. In so doing, CAL’s technology significantly lowers the transaction costs that are a key component of trading forest-based carbon credits...
High Resolution System for Commercial Carbon Stock and Flux Measurement
1 Sep 2012 to 31 Aug 2014
DMC International Imaging Ltd (DMCii), Carbon Associates Ltd (CAL) and University College London (UCL) are jointly developing a system for measuring land carbon stocks and fluxes from Earth observation data. The resulting carbon-market intelligence products will address key segments of the carbon market by providing essential information on carbon flux. T...