Remote Sensing Solutions for Real-World Problems

Utilising High-resolution Aerial Photography for Seal Population Surveys

Using hyperspectral imagery to identify rhododendron

A glimpse into what to expect when starting at 2Excel Geo…

At the beginning of June, I had the great opportunity to start my SPIN internship with 2Excel Geo. Due to the pandemic, travelling was (and still is) not possible and therefore, my internship began in my bedroom, instead of the office…

Remote sensing provides a powerful synoptic overview of an area. These data can be used to identify different land covers and in some circumstances it is able to identify specific habitats, fragmentation and connectivity of habitats. However, to identify a habitat it must be resolvable, both spatially and spectrally.

Last summer, I had the chance to join the 2Excel Geo team for an 8-week placement as part of the SPIN program managed by the UK Space Agency. This program enables students or recent graduates to develop their professional skills while working with others within the Space sector. This opportunity proved invaluable for giving my career a kickstart following on from my post-graduate studies.

In an increasingly environmentally aware era, tree planting in the UK is supported by government grant support to assist in the planting of new trees.

As part of the 2019 Space Placement in Industry (SPIN) programme, I had the pleasure to intern at 2Excel geo for 8 weeks. During this time, I collaborated with the RSPB on a project that aimed to classify vegetation and quantify habitat coverage and fragmentation using 2Excel geo’s hyperspectral airborne capability.

Standing deadwood is a term used to describe dead trees or branches that still remain rooted into the ground. Identifying standing deadwood can be particulary important with regard to managing the risk of trees to public and property.

High-resolution imagery collected from aircraft can provide detailed information that allows individual tree crowns within the landscape to be identified and mapped.