This page summarises some of the diverse and challenging projects 2Excel geo has previously conducted. For more information, please get in touch.
In June 2017, T2 Aviation invited 2Excel geo to participate in a complex oil on water trial. This involved the controlled spill and subsequent dispersal of a small volume of oil off the English coast.This project demonstrates the utility of hyperspectral imaging to map and characterise surface spills.
Disease in UK winter wheat can cause yield losses from 30% to as much as 50% in high pressure seasons. Disease pressure is managed by the application of fungicides at key growth stages. Early detection is essential to inform spraying decisions, saving on inputs whilst retaining yields.2Excel geospatial has conducted complex field trials and demonstrated the detection of yellow rust in mid-March, which is not possible using standard multi-spectral UAV sensing.
In woodland environments, information about the species of individual trees is advantageous for informed and targeted forest management. This project demonstrates the applications of airborne hyperspectral remote sensing for tree species mapping in a heterogeneous forest canopy.
Heather moorland is a globally important habitat, playing a significant role in supporting a diverse range of fauna and flora and protecting peat soils. Muirburn (rotational burning) is a large part of heather management and is strictly legislated.2Excel geo has applied advanced machine learning techniques to airborne hyperspectral imagery and integrated open source datasets to generate a product to support land owners in muirburn management and planning.
Infestations of black grass (Alopecurus myosuroides) have increased steadily over the last forty years and are a challenging and costly problem to European cereal growers with a significant negative impact on yield and quality, destroying over 2 million hectares of arable crop in the UK alone.2Excel geo has demonstrated detection of black grass population in wheat from as early as March 1st.
Since its introduction into the UK in 2012, ash dieback(Hymenoscyphus fraxineus) has spread across large parts of the country causing serious problems for the UK ash population. This project presents the potential applications of airborne hyperspectral remote sensing for the detection of dieback in ash trees.