Cop26: satellite tech launched to help organisations meet sustainability goals

Cop26: satellite tech launched to help organisations meet sustainability goals


A satellite and AI-powered platform that aims to help companies achieve their sustainability goals including the 10 per cent biodiversity net gain (BNG) by 2030 has been announced at Cop26.

 

According to AiDash, its Intelligent Sustainability Management System (ISMS) will allow utility and energy companies to meet BNG standards and increase cost-savings and other efficiencies by eliminating frequent land surveys that are currently performed manually.

 

Innovation team

 

AiDash developed ISMS over the past year working closely with the National Grid Partners innovation team.

 

Organisations with large landholdings, like UK energy company National Grid and other utilities, energy, water, and wastewater companies, face the challenge of using traditional on the ground surveying methods to accurately map the land type and understand and measure the biodiversity level of each habitat.

 

The cost and process complexities of using these methods can often hinder the implementation of natural capital enhancement plans for progressive, environmentally conscious organisations, reports AiDash. Existing tools and techniques lack the ability to analyse historical data and make data-driven environmental improvements.

 

The UK’s Environment Bill legislating the BNG, when approved, would further strengthen the planning powers in England mandating at least a 10 per cent net gain in biodiversity for all new developments and raise the imperative of land sustainability across many sectors.

“It’s a crucial step in helping us achieve our regulatory obligations and enabling us to make our contribution towards addressing the biodiversity crisis and climate change”

In a recent survey by SAP and Oxford Economics, half of utility and energy executives said increased process complexity is a hindrance to meeting sustainability goals.

 

AiDash claims the ISMS ‘Land’ module would help customers reduce laborious fieldwork through the AI-backed image analysis for systematic mapping, planning and assessing land enhancements, and quantify biodiversity to plan sustainable land development and restoration initiatives based on the environmental value of varying habitats.



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