Marine vegetation mapping in Sweden

Why is it important?

According to the EU Habitat directive and the Marine Strategy Framework Directive, member states are required to map, monitor and evaluate changes in the quality and areal distribution of different marine habitats and biotopes. Submerged aquatic vegetation (SAV), in particular eelgrass, is one of the key indicators of ecological status and environmental state of water bodies, and therefore widely used in reporting related to these directives.

Project highlights:

Copernicus Sentinel-2 imagery, novel machine learning techniques and advanced data processing to create the first spatial overview of the distribution of SAV at national scale in Sweden.

A cloud-based web-application for Sentinel-2 based SAV mapping without prior specialist knowledge Input.

A training dataset constructed with more than 30 000 manually drawn polygons to build a robust machine learning model and predict nationwide SAV.

In more detail..

In 2020 we embarked on a project together with the Swedish regional and national authorities, to combine Copernicus Sentinel-2 satellite imagery, novel machine learning techniques and advanced data processing to create the first spatial overview of the distribution of SAV at national scale in Sweden. A training dataset constructed with more than 30 000 manually labelled polygons was used to build the classification model, with which more than 3800 km2 of the underwater habitats, of the entire shallow coastal zone of Sweden, was mapped. Applying Sentinel-2 imagery from 2019-2020, the resulting classification, in 10-meter spatial resolution, provides nationwide coverage and detailed insight into the status of aquatic vegetation in the shallow water areas of Sweden.

Moreover, in close coordination with the key stakeholders, we have developed a cloud-based web-application that enables individual counties along the Swedish coast to perform their own SAV mapping without prior specialist knowledge. This ties into a long-term objective of the counties in Sweden to easier comply with national monitoring and reporting requirements, and thereby for Sweden to better comply with international requirements at EU level.

The project outcome and methodologies are further described in the following peer-reviewed article:

Huber, Silvia. et al. (2021), Novel approach to large-scale monitoring of submerged aquatic vegetation: A nationwide example from Sweden. Integrated Environmental Assessment and Management.

Länsstyrelsen Västerbotten

Länsstyrelsen Västerbotten, on behalf of the Swedish Agency for Marine and Water Management.

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

AI4Water: Evapotranspiration

evapotranspiration Satellite data analysis SEN-ET

Why is it important?

In Uganda, irrigation development contributes to food security, poverty alleviation and economic growth by using water sustainably.

Satellite remote sensing of evapotranspiration (ET) is an essential part of global observation systems. It provides inputs for agriculture, water resources management, weather forecasts, climate studies and many other applications. Easy access to reliable estimations of ET is a key requirement within these domains. When ET is successfully estimated at high resolution it can map crop water stress at field scale.

Project highlights:

Developing and implementing an open-source AI algorithm that merges optical, thermal and meteorological data.

The ability to get information on water stress levels for farms in Uganda. Due to the resolution, we can provide evapotranspiration information  at farm level 

Better insights can lead to 30% less water use for the same yield.

Mubuku, Western Uganda
The area holds close to 2000 hectares of smallholder farms watered by drainage channels
The main crops grown are maize, rice, onions and mangos
The purpose is to find out if crops are overwatered or under stress

In more detail..

This project aims to develop and roll-out a novel algorithm for obtaining evapotranspiration and crop water stress at farm level for a large national irrigation scheme in Uganda.

The site chosen for this project is Mubuku in the Kasese District.

It is expected that the project can lead to 30% less water use for the same yield, which would greatly benefit the local community and farmers.

Since the code will be open source the project can pave the way for better irrigation in drought prone countries.

The project is done in collaboration with our partners, the Ugandan geo-information company, Geo Gecko.

Microsoft and National Geographic AI for Earth Innovation Grant:

A new, joint grant program that will challenge environmental issues of the 21st century with the most advanced technologies available today.

“AI for Earth Innovation” grants will fund new solutions that leverage AI and cloud technologies to monitor, model and manage Earth’s natural resources.

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

Monitoring agricultural fields with satellite images

Satellite data analysis remote sensing earth observation Monitoring agricultural fields

How we helped:

Machine Learning and Data Fusion for crop-type monitoring. By building a likelihood model based on timing of the main crop harvest, the timing of parcel tillage after the main harvest and the field greenness in the September period to monitor the presence of catch crops.

Project highlights:

Building a national operating system for deriving agricultural parameters based on time series of both SAR and optical satellite data

Development of a user friendly web viewer for visualizing data and results allowing the user to search for specific field parcels and associated attribute information

Analysing time series based on advanced Machine Learning methods and data fusion for crop monitoring and likelihood model for monitoring of harvest and catch crops

In more detail..

The Danish Agricultural Agency is today performing control visits to field parcels across the entire country, to check if farmers report correctly on their crop types and farm management practices related to the CAP.

This line of work constitutes a significant work load and involves many field visits. The Danish Agricultural Agency needed a solution to check if farmers were reporting correctly in accordance with CAP requirements while at the same time reducing the amount of time spent on control visits.

All satellite data and results were presented on a web viewer developed to meet the client’s needs for assessing the satellite-derived information to be used in their CAP monitoring.

In short, we provided the Danish Agricultural Agency with:

Danish Agricultural Agency:

The staff of the Danish Agricultural Agency, a total of approximately 1,200, strives countrywide to create the optimal conditions for sustainable growth and green transformation in the fields of Agriculture and Plants and horticulture.

They administer and provide grants for agricultural production, environmental and ecosystem improvements, development programmes, grants for minor projects, and administer subsidies for certain types of export.

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

Wind resource mapping and analysis in Vietnam

wind resource mapping

How we helped:

GIS assessment for wind resource mapping, such as existing grid infrastructure, wind speed, land use, topology, proximity to protected areas or population density as an energy planning. Allowing the Government of Vietnam to integrate renewable energy into the energy system. Providing a national benefit and achieving the long-term objectives of reducing GHG emissions.

Project highlights:

Mapping of high-potential wind energy clusters for potential renewable energy development

Provision of different scenarios based on the relative share of importance of the different exclusion criteria (e.g. land use)

Evaluation of technically feasible potential using economic criteria, in this case additional costs associated with infrastructure proximity and projected annual wind power generation

In more detail..

The Government of Vietnam is pursuing the integration of renewable energy into the energy system for the national benefit to economically optimize and achieve the long-term objectives of utilizing renewables and reducing the GHG emissions.

In this context, DHI GRAS conducted a GIS assessment applying different screening criteria, such as existing grid infrastructure, wind speed, land use, topology, proximity to protected areas or population density as an energy planning exercise. The assessment provided maps of potential wind power project development sites which were included into an energy model, to provide input to the power system planning practices in Vietnam. An evaluation of the technically feasible potential was done using economic criteria, in this case additional costs associated with infrastructure proximity and projected annual wind power generation.

The results of the mapping and modelling study were presented at a workshop in Hanoi with more than 30 participants including government officials, consultants and experts in the renewable energy sector. The consultation workshop was followed by a 1-day GIS-based training on renewable energy resources mapping analysis, using exclusion criteria on different layers of infrastructure, land use and administrative maps.

The project was carried out by Ea Energy Analyses in collaboration with DHI GRAS and the Institute of En-ergy (Viện Năng lượng) within the framework of the Danish-Vietnamese cooperation between the Danish Energy Agency and the Ministry of Industry and Trade of Vietnam.

The funding of the project was provided by the German Corporation for International Cooperation (GIZ) GmbH. ​

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

Earth Observation for Sustainable Development: Water Resources

Earth Observation for Sustainable Development

Why is it important?

Benefit from the utility of EO services in response to stakeholder requirements for water resources monitoring and management at local to basin scales.

Project highlights:

Following a systematic, user driven approach to meet longer-term, strategic geospatial information needs in the individual developing countries, as well as international and regional development organizations

Provision of EO demonstrations in Africa (Sahel, Africa Horn and Zambezi), Asia (Myanmar and Lao PDR) and Latin America (Bolivia and Peru), and within water related operations of major IFI’s including World Bank, Asian Development Bank, Inter-American Development Bank and the Global Environmental Facility

Advancing the current status of the adoption, progressive transfer and mainstreaming of EO-based information services as a standard management support tool within development operations at the national and international level

Director & Component 1 Director,
Hydro-Informatics Centre (HIC) &
Ayeyarwady Integrated River Basin Management Project
Prof. Dr. Khin-Ni-Ni Thein

Myanmar is vulnerable to seasonal floods and water related extreme weather events, which has led to establish a National Integrated Flood Management Platform under the National Water Resources Committee (NWRC).

Our finding is that seasonal information on flood dynamics and patterns are of high importance for planning- and management purposes in Myanmar. Such information is currently not available on a large geographical- and time scale, and that is where Earth Observation really adds value.

In more detail..

Satellite Earth Observation (EO) technology has a tremendous potential to inform and facilitate international development work.

EO4SD — Earth Observation for Sustainable Development — is an ESA initiative to support the uptake of EO-derived information in sustainable development, and with a focus on top-priority thematic areas including water resources management.

Since 2008, the European Space Agency (ESA) has worked together with International Financing Institutions (IFIs) and their client states to harness the benefits of EO in their operations and resources management.

Specifically, for water resource management the EO4SD will seek to demonstrate the benefits and utility of EO services in response to stakeholder requirements for water resources monitoring and management at local to basin scales. The EO4SD project started in 2016 and will end in autumn 2019.

Some of the key water related priority areas where EO-based geo-information is needed include:

 

Earth Observation for Sustainable Development:​

Earth Observation for Sustainable Development (EO4SD)– is an ESA initiative which aims to achieve a step increase in the uptake of satellite-based environmental information in the IFIs regional and global programs.

It will follow a systematic, user-driven approach in order to meet longer-term, strategic geospatial information needs in the individual developing countries, as well as international and regional development organizations.

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

Earth Observation for Sustainable Development: Agriculture and Rural Development

Rural development

Why is it important?

Enhances awareness and uptake of EO-based geo-information to support worldwide agricultural monitoring and management tasks. Providing insights in agriculture and rural development all around the world.

Project highlights:

Increase awareness and uptake of information derived from satellite imagery in regular development operations at national and international level

Provide capacity training to project teams in client states for remote sensing and GIS

Deliver EO-derived information to project teams supporting sustainable land management

IAP Food Security Ethiopia Project Manager ,
UNDP Ethiopia

Dr. Tesfaye Haile Dargie

Our cooperation with DHI GRAS on the development of low-cost monitoring systems, based on the application of open source GIS software and freely available optical and radar satellite images has exceeded our expectations.

DHI GRAS has with great skill and user-friendliness delivered a hands-on approach to using freely available data and technology to carry out participatory forest monitoring in large tropical forest areas. The combination of desk analyses and field verification creates a powerful and efficient tool, which has been an invaluable input to our own organisation as well as our partners in Latin America.

In more detail..
Satellite Earth Observation (EO) technology has a tremendous potential to inform and facilitate international development work.

EO4SD — Earth Observation for Sustainable Development — is an ESA initiative to support the uptake of EO-derived information in sustainable development, and with a focus on top-priority thematic areas including agriculture and rural development.

Since 2008, the European Space Agency (ESA) has worked together with International Financing Institutions (IFIs) and their client states to harness the benefits of EO in their operations and resources management.

DHI GRAS contributes to EO4SD with indicators for the monitoring of sustainable land management interventions in Burkina Faso, Ethiopia and Morocco. The EO4SD project started in 2016 and will end in autumn 2019.

The project aims to demonstrate that the effectiveness of the MDB’s technical assistance interventions and financial investments in agriculture sector can be measurably enhanced by using EO-derived information to support:

Earth Observation for Sustainable Development:

Earth Observation for Sustainable Development (EO4SD)– is an ESA initiative which aims to achieve a step increase in the uptake of satellite-based environmental information in the IFIs regional and global programs.

It will follow a systematic, user-driven approach in order to meet longer-term, strategic geospatial information needs in the individual developing countries, as well as international and regional development organizations.

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871

InnoWind – wind energy efficiency

wind energy mapping

Why is it important?

The improved services provided by Danish companies will decrease the cost of wind energy development by significantly increasing the precision of wind resources assessments and lowering uncertainty in the planning phase.

Project highlights:

Develop novel algorithms to derive aerodynamic surface properties from Copernicus data and test against ground truth at wind energy sites

Integrate satellite-based map layers seamlessly in flow models operated by industrial end-users

Document the scientific and financial impact of new satellite-based map layers for wind resource assessment

In more detail..

The InnoWind project has been funded by the Innovation Fund Denmark and is being conducted by DHI GRAS together with DTU Wind Energy and DTU Space, as well as wind industry leaders Vestas, EMD International and Vattenfall. The project is expected to run from 2017 to 2020.

InnoWind gives Danish companies a competitive edge in a rapidly growing market of wind resource assessment by equipping them with more accurate tools than competitors.

The improved services provided by Danish companies will decrease the cost of wind energy development by significantly increasing the precision of wind resources assessments and lowering uncertainty in the planning phase.

This will benefit energy systems planning and have a positive effect on financing of wind farms. Additionally, public entities establishing wind atlases will benefit from high quality model inputs; this is particularly relevant for emerging wind energy markets where such atlases are currently absent.

InnoWind will provide added value to end-users by delivering:

Innovation Fund Denmark:

The overall aim of Innovation Fund Denmark is to support the development of knowledge and technology, including advanced technology, in order to strengthen research and innovative solutions that may benefit growth and employment in Denmark.

Sea and Coast monitoring

EOatDHI part of the DHI GROUP

gras@dhigroup.com
+45 4516 9100

Agern Alle 5,
2970 Hørsholm,
Denmark

CVR: 36466871