Ocean Ledger’s Post

Today, thanks to the explosive growth in #EarthObservation of the last two decades, we have access to a multitude of public and commercial satellites that can help us identify and map coastal ecosystems like #seagrasses. More recently, this growth has led to the development and broad deployment of lightweight #drones, creating a highly-flexible and diverse remote sensing toolkit. Choosing your remote sensing instrument can be challenging - often requiring a mixture of domain and technical expertise, but there are a number of parameters you can use to assess what the right choice or combination is: 🛰️ Spatial resolution (i.e. size of the pixel) 🛰️ Temporal resolution (i.e. frequency of acquisition) 🛰️ Spectral characteristics & resolution (i.e. number of bands and their spectral width across sensor's wavelengths) 🔘Geographical scale (i.e. area of interest) 💰 Cost of image(s) (e.g. available or tasked) The effect of varying spatial resolution of various optical remote sensing instruments (e.g. public and commercial satellites, and a very high-resolution drone), along with their pros and cons, are showcased in the image below, over a shallow seagrass meadow and sandy seabed in Lesvos, Greece. #Coastal ecosystems are inherently complex in terms of their environment, physiology and #ecology, and, most often, more than one phenomenology (i.e. modality) is required to map, measure and monitor them, across space and time, at high accuracy, inference and granularity. In Ocean Ledger, we are resolving these complexities by combining multi-modal (i.e. optical, radar, lidar) data-agnostic (in source, platform and resolution) analytics with AI, cloud computing, modelling and field data, both for onshore and underwater coastal ecosystems. Leveraging the full spectrum of #remotesensing technologies allows us to optimize our proprietary modular workflows and provide robust, standardized downstream insights.