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Eoforest

Earth Observation Services for Forest Management

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Overview

Eoforest - Earth Observation Services for Forest Management

Eoforest is GMV’s catalogue of forestry-related geoinformation products integrated into a single platform to facilitate the sustainable management of forest resources by those organizations involved:

  • public sector with management and reporting commitments,
  • private forest owners and associations,
  • forest-based industry, and
  • environmental and conservation agencies.

Eoforest meets existing geospatial data standards so, our products can be downloaded into any geo-viewer through Open Geospatial Consortium (OGC) standard services.

For any questions or requests, please contact us at [email protected]

Over 15 years

of experience in providing Earth observation forestry solutions

23 countries

worldwide have implemented our solutions

Highlights

Forest

Key services:

  • Site characterization afforestation and reforestation plans
  • Monitoring for maintenance and growth
  • Carbon offsetting
  • Ecosystem Vulnerabilities
OT

16 Earth Observation products dedicated to enhance sustainable forest management

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GMV’s catalogue of forestry-related geoinformation products is integrated into a single easy to access platform

Eoforest Services and Products

Eoforest - Earth Observation Services For Forest Management

Forest Site Characterization
Forest Mask

Park Regionalny Anykščių, okręg uciański (Litwa)

Forest Mask

The Forest Mask product provides a binary forest-non forest classification. For deciduous/mixed forest, several images are required, to account for seasonal foliage conditions. Additionally, a probability map is generated to obtain the confidence level of each pixel in the binary classification. The probability map may be used to distinguish pure forest areas from transitional or degraded ones.

The Forest Mask product is the basis for other products such as forest type classification or vegetation stress monitoring. The product adapts to the definition of forest valid in each country.

Main applications:

  • Forest inventory
  • Forest and natural resources management
  • Land use planning and land use and land cover dynamics monitoring
  • Environmental impact assessment
  • Deforestation and degradation analyses
  • Biomass estimation and carbon offsets projects
  • Canopy cover fraction
  • Biodiversity conservation
  • Forest fire-fighting plans
Main Forest Types

Dolina Roncal, wspólnota autonomiczna Nawarra (Hiszpania)

Main Forest Types

A supervised image classification which provides a map of the dominant species spatial distribution and identifies the mix of species present within an area. Additionally, a probability map is generated for each species to obtain the confidence level of each pixel in the classification. The probability maps may be used to study the dominance or coexistence of species in each pixel, as well as to approximate the uncertainty of dominant species map.

A preliminary desk study of the dominant species or forest communities is required. Species, communities or masses categories are customizable to meet user and locations needs.

Main applications:

  • Forest inventory
  • Forest and natural resources management
  • Land use planning and land use and land cover dynamics monitoring
  • Environmental impact assessment
  • Biomass estimation and carbon offset projects
  • Biodiversity conservation
Forest Age

Landes de Gascogne, departament Landy (Francja)

Forest Age

The Forest Age product is obtained by analyzing multitemporal satellite data derived from Landsat (1984-2015) and Sentinel-2 (from 2016 onwards) missions. Due to the length of data record, the product cannot distinguish age ranges beyond 30 years and a unique category is assigned, which is labelled “older than 30 years”.

Main applications:

  • Forest inventory
  • Forest and natural resources management
  • Land use planning and land use and land cover dynamics monitoring
  • Environmental assessment
  • Biomass estimation and carbon offset projects
  • Biodiversity conservation
Burnt Scars

Baixo Vouga, dystrykt Aveiro (Portugalia)

Burnt Scars

Burnt forest areas are mapped out using change detection techniques between two dates (pre-fire/post-fire). The analysis allows estimating the area affected by fire to support recovery plans.

Additionally, a probability map is generated to obtain the confidence level of each pixel in the binary burnt-no burnt forest classification. The probability map may be used to estimate fire severity or identify areas with high uncertainty.

Main applications:

  • Forest fire damage assessment
  • Regional forest fire prevention action plans
  • Environmental assessment
  • Reforestation plan
  • Forest and natural resources sustainable management
Clear Cuts

Dorzecze rzeki Ulla, wspólnota autonomiczna Galicja (Hiszpania)

Clear Cuts

Detection of logged forest stands between two given dates or a series of dates. Additionally, a probability map is generated to obtain the confidence level of each pixel in the binary cut-forest classification. The probability map may be used to identify areas with some uncertainty.

Main applications:

  • Deforestation assessment
  • Forest management - reforestation plans
  • Land use land cover dynamics
  • Environmental assessment
  • Carbon offset projects
DEM-Terrain

Calha do Grou, region Alentejo (Portugalia)

DEM-Terrain

Digital Elevation Model (DEM) products extract terrain parameters for relief maps: elevation, slope and aspect.

The product makes use of a:

  • Digital surface model (DSM): represents the Earth's surface and includes all objects on it, and
  • Digital terrain model (DTM): represents the bare ground surface without any objects like plants and buildings.
  • Input data spatial resolution is a key element that will impact the representation of the ground.

Main applications:

  • Topography
  • Forest inventory, forest management
  • Basin management plan
  • Environmental assessment
  • Hydrological modelling
  • Land planning
Canopy Height

Region Sawonia Północna (Finlandia)

Canopy Height

The Canopy Height Model (CHM) product is derived by learning the mapping between Very High Resolution (VHR) imagery and information from a LiDAR CHM. Additionally, the mean height can be calculated per stand if the stand delineation is provided by the user or available by third party.

Main applications:

  • Forest inventory
  • Forest and natural resources management
  • Environmental assessment
  • Indirect measurements of aboveground biomass (AGB)
Forest Infrastructures

Dubravos miškas, okręg kowieński (Litwa)

Forest Infrastructures

Geo-database of forest infrastructures, adapted from the international cartographic standard Multi-National Geospatial Co-Production (MGCP). Working scale, 1:5,000. Thematic classes of features: transportation networks, hydrology, populated places, industry, energy and LULC. Features are attributed with descriptive data for consultation. INSPIRE standards apply.

Main applications:

  • Infrastructures access and maintenance
  • Forest inventory and management plan
  • Land use land cover dynamics
  • Environmental assessment
Basin and Stream Network

Calha do Grou, region Alentejo (Portugalia)

Basin and Stream Network

A geo-database of the hydrographic network, adapted from the international cartographic standard Multi-National Geospatial Co-Production (MGCP). Working scale, 1:5,000. Features: rivers, streams and water bodies. Basin delineated with DEM, watershed hierarchy included. Features are attributed with descriptive data for consultation. INSPIRE standards apply.

Main applications:

  • Flood risk and erosion (soils and riverbeds)
  • Water resources and forest restoration
  • Environmental assessment
Forest Condition
Biotic Damage

Las Křtiny, region Morawy Południowe (Czechy)

Biotic Damage

This product detects the occurrence of pest outbreaks and diseases, estimating the affected area and eventually updating the Forest Mask.

The damaged area is classified into three categories depending on the variation of forest vitality (Leaf Area Index, photosynthetic activity, and vegetation moisture).

Main applications:

  • Near-real time pest and diseases damage assessment
  • Environmental impact assessment
Drought Damage

Las Arpheuilles, departament Cher (Francja)

Drought Damage

This product estimates the affected drought area of the forest. Multitemporal vegetation indices and climate data are combined with Machine Learning algorithms to correlate forest health decay with drought periods. The output provides a map showing the damaged areas caused during the drought episode. The damaged area is classified into three categories depending on the variation of forest vitality (Leaf Area Index, photosynthetic activity, and vegetation moisture).

Main applications:

  • Drought monitoring
  • Climate change monitoring
  • Environmental impact assessment
  • Water resources management
Volume, Biomass and Carbon Stock
Timber volume

Andévalo, prowincja Huelva (Hiszpania)

Timber volume

Timber Volume is calculated by means of the tree diameter at breast height (DBH) and the canopy height. These field data is to be correlated with SAR and optical satellite imagery using Artificial Intelligence (AI).

Satellite imagery can also be directly correlated with timber volume field data if available. Currently in development as new datasets are increasingly becoming available.

Main applications:

  • Biomass estimation and carbon offset projects
  • Sustainable forest management and exploitation
  • Forest inventory and national forest statistics
Biomass

Sierra de Aracena, prowincja Huelva (Hiszpania)

Biomass

Aboveground biomass (AGB) consists of all woody biomass, including stems and branches, in tons per hectare. AGB is typically calculated using allometric equations based on tree diameter at breast height (DBH) and canopy height. Synthetic Aperture Radar (SAR) backscatter measurements are sensitive to forest aboveground biomass (AGB), and the observations from space can be used for mapping AGB globally. Field data is to be correlated with SAR and optical satellite imagery using Artificial Intelligence (AI) to obtain AGB estimates.

Main applications:

  • Sustainable forest management
  • Forest degradation and enhancement of forest carbon stocks analyses
  • REDD+ activities
  • Carbon offset projects
  • Conservation, biodiversity programmes
  • National forest statistics
Carbon Stock

Sierra de Aracena, prowincja Huelva (Hiszpania)

Carbon Stock

Carbon stock represents the amount of carbon that has been sequestered from the atmosphere and is now stored within the Aboveground Biomass (AGB) (t C/ha). Carbon Stock is estimated from AGB models and the carbon fraction of dry matter values published by the Intergovernmental Panel on Climate Change (IPCC).

Main applications:

  • Calculation of emission factors and CO2 emissions into the atmosphere
  • Monitoring reports of reduction programmes and projects
  • National greenhouse gases inventories (GHG) (United Nations Framework Convention on Climate Change (UNFCCC) required reports: National communications and biennial updated reports, nationally determined contributions (NDCs), etc.)
Ecosystem Vulnerabilities
Biodiversity

Dubravos miškas, okręg kowieński (Litwa)

The Biodiversity product represents the intrinsic diversity of forest community calculated using indices concerning dominance, abundance, and uniformity of forest tree species. Biodiversity assessments are needed to provide information necessary to support biodiversity-related decision-making in forest policy and management.

Main applications:

  • Landscape ecology
  • Ecosystem restoration
  • Environmental impact assessment
Habitat Fragmentation

Las Křtiny, region Morawy Południowe (Czechy)

Habitat Fragmentation

Habitat fragmentation maps and monitors the emergence of discontinuities (fragmentation) in the vegetation of a specific habitat. The Habitat Fragmentation product is obtained by classifying spatial patterns of forest patches and evaluating forest densities. Sustainable forest management can be achieved in several ways including by managing forests for ecosystem services (beyond simple provisioning). The Habitat Fragmentation product is obtained by classifying spatial patterns of forest patches and measuring forest area density to quantify forest fragmentation.

Main applications:

  • Landscape ecology
  • Ecosystem restoration
  • Environmental impact assessment

Customers & Partners

logo_comisioneu
2_jrc
European Space Agency (ESA)
The World Bank Group
logo_adb
logo_efi
Confederation of European Forest Owners (CEPF)
European Network of Transmission System Operator for Electricity
logo_forestplanet
Spanish Ministry of Environment
Spanish National Institute For Agriculture and Food Research and Technology (INIA)
Regional Department of Agriculture
Spanish National Research Council (CSIC)
icnf
French National Research Institute for Sustainable Development (IRD)
16	France's National Research Institute of Science and Technology for the Environment and Agriculture (IRSTEA)
French Laboratory of Climate and Environmental Sciences (LSCE)
Research Institutes of Sweden (RISE)
Valtion Teknillinen Tutkimuskeskus (VTT) Technical Research Centre of Finland Ltd
Environment Agency – Abu Dhabi (EAD)
Mozambican Ministry of Agriculture and Rural development
Brazilian National Institute for Space Research (INPE)
Dominican Ministry of Environment and Natural Resources
Dominican Ministry of Agriculture
Colombian Institute of Hydrology, Meteorology and Environmental Studies (IDEAM)
Bushfire and Natural Hazards Cooperative Research Centre Ltd.
ENCE S.A.
arbonaut
Forestis - Associação Florestal de Portugal
Instituto de Investigação da Floresta e Papel (RAIZ)
logo_cnpf
logo_cfri
University Forest Enterprise Masaryk Forest Křtiny of Mendel University in Brno (UFE)
logo_litu
Spanish Foresters Confederation (COSE)
logo_foresna
logo_madera
logo_fora
Entrenamiento e Información Forestal, S.L.
logo_edp
REN - Redes Energéticas Nacionais S.A.
Western Power Distribution (WPD)
Energy Systems Catapult
National Grid Electricity Transmission
UK Power Networks (UKPN)
Enel Group
R&D NESTER
Association for the Development of Industrial Aerodynamics (ADAI)
SAFE Cluster
Ukrainian Regional Eastern Europe Fire Monitoring Centre (REEFMC)
Ukrainian Regional Eastern Europe Fire Monitoring Centre (REEFMC)
Satways Ltd.
Ambiente Italia S.r.l.
Stora Enso
World Cocoa Foundation
DR Cocoa Foundation
University of Alcala
Aristotelio University Thessaloniki
Sapienza University of Rome
The University of Edinburgh
Technical University of Dresden
University of Lleida

Resources

Documents related to Earth Observation Services for Forest Management

Eoforest Catalogue

Eoforest for sustainable forest management
Publications

Project publications

  • Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data

  • Designing a Validation Protocol for Remote Sensing Based Operational Forest Masks Applications. Comparison of Products Across Europe

  • The Importance of High Resolution Digital Elevation Models for Improved Hydrological Simulations of a Mediterranean Forested Catchment

  • Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics (worldbank.org)

  • A Sentinel-2 unsupervised forest mask for European sites

  • An automatic Sentinel-2 forest types classification over the Roncal Valley, Navarre: Spain

Forestry Projects

Forestry Projects

ForestPlanet: Provision of satellite-derived products for the monitoring of veg…FirEUrisk: Developing a holistic, risk-wise strategy for European wildfire mana…SMART-GRIDS: Space-based services for distributed energy networksWB FOCASTOCKS: Assessment of Inno-vative Technologies and the “Readi-ness” for …EO Law – EO derived information in support of Law Enforcement derived informati…RESUCI: EO in support to critical infrastructuresWilfire Risk Assessment (Consultancy Service) in People's Republic of China for…HumMingBird: Enhanced migration measures from a multidimensional perspectiveMySustainableForest - Operational sustainable forestry with satellite-based rem…MOZMOSAIC: Generation of a country level multi-resolution mosaic using Sentinel…EOPLINES: Earth Observation for Powerline Monitoring for EDP Distribuição - Ene…Satellite-Based Forest-Inventory Program in Abu DhabiPREFER: Space-based Information Support for Prevention and REcovery of Forest F…ArcFUEL: Mediterranean fuel maps geodatabase for wildland & forest fire safetyRECOVER: Science based remote sensing services to support REDD and sustainable …FireSmart: Forest and land management options to prevent unwanted forest firesDRUID: New Opportunities For EO-Based Information In Support Of The Forest-Base…JRC FUELMAP: Development of a European Fuel Map
Success Stories

Earth Observation Services for Forest Management

MySustainableForest
Video
MySustainableForest, a new forestry future

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