The bi-annual Danish Marine Research event
DHI GRAS presenting state-of-the-art marine and coastal research
Satellite-derived bathymetry for nautical navigation
The challenge:
Greenland Pilot Service provides navigational safety services in the Arctic region and their strategy is to contribute to a safe development of the cruise industry in polar regions.
They embark experienced and licensed Polar Code Compliant Pilots on board the cruise vessels. The Pilots contribute with local knowledge and experience, to strengthen the bridge team, ensuring a safe and effective operation.
The 24/7 manned operations center in Nuuk carries out all mandatory Risk Assessments, and continuously updates the pilots with daily information on weather and ice.
To be able to operate safely and ensure best practice, they needed updated information about coastlines and submerged hazards in the poorly charted shallow coastal area around Skjoldungen, Greenland.
Project highlights:
Updated and accurate mapping of coastlines including at high and low tide
Location and size of submerged hazards mapped with clear depiction of small and large submerged hazards
Updated spatial information ensuring safe transport of vessels, ideal for large and remote areas
Project Manager,
Thomas Bøggild
With the help of satellite-derived bathymetry from DHI GRAS we were able to make a proper navigational risk assessment enabling our clients to safely access the remote and poorly charted waters around Skjoldungen. DHI GRAS did a great job in helping us understand the value of the data and delivery was fast and on time
In more detail..
We were commissioned by the client to provide them with accurately mapped coastlines at both low and high tide, as well as identify submerged hazards, such as reefs, rocks and sand banks.
Sentinel images provided the raw data, which were then analysed and validated. The information derived from satellites is much more accurate than existing nautical charts in the Arctic and allowed Greenland Pilot Services to safely enter the waters around Skjoldungen.
A pilotage company specialised in assisting masters and navigators in their operations in Polar regions.
They carry out mandatory risk assessments and contingency planning according to relevant laws and regulations as well as voyage planning while ensuring compliance with the Polar Code.
Mapping aquatic vegetation in Denmark
Mapping aquatic vegetation in Denmark:
09 January 2019
For the first time, the aquatic environment around the Danish coastline will be mapped using satellite images.
By using satellites, the task is both easier to carry out and gives a better spatial overview.
This will help to strengthen the protection of our coastal water environment.
The project has been made possible thanks to a grant from the VELUX Foundation.
Watch the video below to learn more!
Your geodata on the web
Why is this important?
Easy access and visualization of geodata is as important as the actual analysis and processing of the data itself. We build modern and intuitive web apps that fit your needs, whether it’s an internal tool for your analysts to query data, or a simple and elegant app for visualizing results.
The solution can be based on tried and true analysis methods or modern AI and machine learning. Our analysts and software developers work together to transform it into an algorithm which can be deployed operationally. We automate the entire pipeline, from acquisition to analysis and visualization.
The highlights:
An algorithm built to solve your exact problem
A modern and elegant web app custom-built to suit your end-users
A modern and elegant web app custom-built to suit your end-users
In more detail..
We build entire geodata web solutions into one package. Data acquisition from relevant sensors and satellites, analysis using our state of the art algorithms and AI, all the way to displaying the data in a custom-built web app, using our own open source raster server.
At DHI GRAS we have experts in both geodata analysis, software- and web development. We leverage this to provide you with a full package solution. We aim for full automation, seamlessly streaming results to your app as soon as they are processed.
Open-Source Software Development
Open-Source Software Development:
14 december 2018
There are countless of open source products we use and love at DHI GRAS, and it is very dear to us to give back to the community.
Therefore, we are thrilled to announce that we have just released our new, light-weight tile server Terracotta as free software under an MIT License!
Terracotta directly serves your (cloud-optimized) GeoTIFF files, so you don't need to apply any pre-processing to get your raster data online, and it supports serverless deployment on AWS Lambda, so you can serve your data without any permanent infrastructure.
We urge you to check it out, and look forward to your feedback.
AI for Earth
AI for Earth:
13 december 2018
To get more yield with fewer resources, precision is key – especially with a precious resource like water. One way to know how much water crops really need is to measure how much water evaporates from the soil and plant surfaces. This is known as the evapotranspiration (or ET) rate, which helps farmers improve their watering efficiency
Torsten Bondo: Business development manager and senior remote sensing engineer at DHI GRAS in Denmark.
His team aims to use machine learning and satellites to support irrigation development and improve crop water efficiency in Uganda together with the Ugandan geo-information company Geo Gecko. The goal is to contribute to food security, poverty alleviation and economic growth.
The project that been chosen as one of the eleven changemakers to receive the Microsoft and National Geographic AIforEarth Innovation Grant.
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Satellites and offshore wind farms
Satellites and offshore wind farms?:
05 december 2018
A match made in space..
With an increasing number of satellites launched in recent years and advances in the image analysis methods, remote sensing data has proven itself as a cheap and very valuable source of information for planning, construction and monitoring of offshore wind farms (OWF).
Mapping of water depths and seabed dynamics
Understanding of the seabed dynamics is highly relevant when planning to reduce potential risks of exposure of cables and infrastructure. Using advanced image analytics, it is possible to convert raw satellite images into quantified information of the seabed around OWFs. The information can either be derived as absolute water depth values in shallow waters (down to 25m), or as relative information highlighting the geomorphological dynamics, such as estimation of migration rates (metres per year) of sand waves.
DHI has successfully delivered this type of information for OWFs along the US east coast, in the North Sea and in Taiwan Strait.
Detailed monitoring of maintenance activities in near-real-time
As most satellites are in constant orbit around the Earth, they provide a mean for getting situational awareness when needed. Optical and radar (SAR) satellites can provide very detailed imagery down to 25 cm in detail level, and with no HSE risks associated. The images are a highly cost-efficient way of getting updated intel on specific OWF sites, allowing monitoring of specific maintenance or similar activities. The images can be delivered within just hours after the acquisition and thus provide the situational overview in near-real-time.
With the increasing amount of satellites, it is now possible to get a daily snapshot in very high resolution of any OWF site in the world. This capacity will be even further increased within the next few years where sub-daily (down to hourly) imagery is expected.
More accurate and reliable metocean data
For years, satellite remote sensing data has provided incredible value to metocean processes and characteristics in relation to offshore wind. With the use of altimeters and radar sensors mounted on satellites, it is possible to derive several different parameters related to quantification of metocean conditions, such as winds, waves and sea surface height – today this is even possible very close to a coastline.
Not only is satellite data of significant value for wind resource estimation, it also allows for the establishment of an accurate and robust environmental design basis for building offshore wind turbines.
Today, it is common to apply aggregated measurements from different types of satellites and multiple passes in calibration and validation of numerical hydrodynamics and wave models, the so-called hind cast models – in combination with in situ synoptic observations. The outcome of the hind cast models are accurate time series (typically 30-40 years) of metocean data to be used for planning, design, construction and operation of an offshore wind farm.
Such data is readily available on modern metocean data platforms such as DHI’s MetOcean Data Portal, where long term data can be downloaded easily and quickly for subsequent processing and analysis. Before data (e.g. wave data) is downloaded, the data is always instantly validated against satellite data to assure the quality and robustness.
Author: Rasmus Eskerod Borgstrøm (rlb@dhigroup.com)