Services Services Catalogue

Services Catalogue

Services

Do you manage forests? Are you a forest owner? Do you seek better wood quality? Needing forest geo-information?

MySustainableForest offers six forest management services with more than twenty specific products. Do you have a need? …. We may have a solution to facilitate your forest tasks. Forest site geo-information products are obtained from remotely sensed data -satellite, LiDAR, sonic- in combination with available in-situ measurements.

See portfolio specifications and request a product for your area of interest!

 

Forest Site Characterisation

The Forest Characterisation service provides facts on the status and condition of predefined forest properties: Forest extension, stand delineation, forest infrastructures, main forest types, stand variables (dominant height, stand age, stand density), forest disturbances (clear cuts, fire scars), topography (DEM, slope, aspect).

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Products


A Forest Mask classifies forest/non forest land coverages (a binary forest land classification). The forest mask product is the basis for other products such as forest type classification or vegetation stress monitoring.

GMV 

Classification image in Tiff format (.tif) and metadata (.txt).

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

Confusion matrix, Overall Accuracy, Dice Similarity Coefficient, Commission/Omission Error and Relative Bias

To be determined

Product Overview

Forest Mask (VHR)

GMV 

Classification image in Tiff format (.tif) and metadata (.txt).

40 m2 (equivalent to 10 pixels/2m pixel)

Multitemporal

Confusion matrix, Overall Accuracy, Dice Similarity Coefficient, Commission/Omission Error and Relative Bias

To be determined

Product Overview

Forest Mask (LIDAR)

GMV 

Classification image in raster format (.asc) and metadata (.txt).

Free LiDAR data is used if available. Otherwise, LiDAR data from private flights is used. 

Single date (year depending on AOI) except FORESNA and UFE (two dates)

Limited to availability of LiDAR information

Accuracy, R2, bias, RMSE and other typical statistical diagnosis tests

To be determined

Product Overview


A geo-data base of forest infrastructures based on the international cartographic standard MGCP. Forest Infrastructures product describes geographically the forest cartographic features. The forest cartographic features can be point features (i.e. logging machinery / equipment, road infrastructures), linear features (i.e. forest trails, forest roads, streams, contour levels, forest boundaries, road infrastructures) and polygon features (i.e. fire scars, logging infrastructures, plot location, stand location, ownership and rights, wetlands, riparian zones, rivers).

GMV 

Vector format (.shp) and metadata (.txt)

Representation: 1: 5,000; Feature extraction, 1:2,000

Multitemporal/Single

Topology rules, Connectivity scripts, Attributes checked

To be determined

Product Overview


This product provides a supervised image classification of the main forest types.

GMV 

Classification image in Tiff format (TIF) and metadata (TXT)

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

Confusion matrix, Overall Accuracy, Dice Similarity Coefficient, Commission/Omission Error and Relative Bias

Over 50 species (e.g. Abies alba, Pinus pinea, Populus tremula, Acacia dealbata, Eucaliptus globulus, etc.)

Total (requires field data)

To be determined

Product Overview

Main Forest Types (VHR)

GMV 

Classification image in Tiff format (.tif) and metadata (.txt).

250 m2 (equivalent to 10 pixels/5m pixel)

Multitemporal

Confusion matrix, Overall Accuracy, Dice Similarity Coefficient, Commission/Omission Error and Relative Bias

To be specified by the user. Over 50 species in catalogue are accurately classified (e.g. Abies alba, Pinus pinea, Populus tremula, Acacia dealbata, Eucaliptus globulus, etc.)

Total (requires field data)

To be determined

Product Overview


The Stand Height product represents the dominant height of trees within the stands.

FÖRA 

Classification image in shape format (.shp) and metadata (.txt)

Free LiDAR data is used if available. Otherwise, LiDAR data from private flights is used. 

One time (year depending on AOI) except FORESNA and UFE (two times)

Limited to availability of LiDAR information

Accuracy, R2, bias, RMSE and other typical statistical diagnosis tests

To be determined

Product Overview


Forest Age product is only necessary when the forest management plan does not specify the stands dominant ages. Forest age is calculated by management stand using a multi-temporal analysis of historical satellite data.

Classification image in Tiff format (.tif) and metadata (.txt)

Sentinel-2, Landsat 5-8

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

Classification of dominant species requested by My Sustainable Forest stakeholders overall

To be determined

Product Overview


Burnt Scars detection starts with the production of a baseline (forest mask). Change detection algorithms are applied to detect the changes in the forest due to wildfires between two given dates.
Detection of changes in the forest due to wildfires between two given dates.

Classification image in Tiff format (.tif) and metadata (.txt)

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

To be determined

Product Overview


Detection of areas where forest has been cut. It requires a forest mask for a given initial date. Change detection algorithms are used to detect forest changes due to logging practices.

Classification image in Tiff format (.tif) and metadata (.txt)

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

To be determined

Product Overview


Digital Terrain Model (MDT or DEM) describes the elevation of the Area of Interest. Derived from it, maps of Slope and Aspect represent different terrain characteristics that are of great interest for users.

FÖRA

Classification image in raster format (.asc) and metadata (.txt)

Free LiDAR data is used if available. Otherwise, LiDAR data from private flights is used

Single date (year depending on AOI) except FORESNA and UFE (two dates)

Limited to availability of LiDAR information

Accuracy, R2, bias, RMSE and other typical statistical diagnosis tests

To be determined

Product Overview


Site Index is an indicator of the forest biological productivity; this indicator is a baseline for many forest management activities such as forest inventory. The site index can be obtained only if two consecutive LIDAR flights are available together with information on site index curve.

FÖRA

To be determined

Free LiDAR data is used if available. Otherwise, LiDAR data from private flights is used. 

To be determined

To be determined

To be determined 

Single date (year depending on AOI) except FORESNA and UFE (two dates)

To be determined

To be determined

To be determined


Stand Density is a measure of how many trees are growing per unit area. Stand density is typically predicted with a moderate degree of precision from LIDAR cloud metrics.

FÖRA

To be determined

To be determined

To be determined

To be determined

To be determined 

To be determined

To be determined

To be determined

To be determined

Product Overview


Wood Characterisation

The Wood Characterisation service consists in the modelling and mapping of wood fibre attributes linked to the wood product potential and performance (i.e. pulp yield, density, strength and stiffness of lumber). Data handled by the wood characterisation models are: remote sensing (LIDAR) data, environmental parameters and timber attributes field measurements. Thereafter, wood characteristics are extrapolated to larger forest areas.

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Products


Basic wood density is one of the most important properties of wood. At stand level is measured by extracting wood cores from the trees and laboratory analysis. This property is a wood quality characteristic very important for pulp industry: when it increases, raw material needs are lower and yields are bigger. For that product, a mathematical model predicting basic wood density is built using Satellite, LiDAR, climatic and Physiographic data. Depending on the needs of the user, this wood density can be calculated, in field, to validate and to improve the accuracy of the model.

MADERA+. Contributor: GMV (satellite images and vegetation indices) and FÖRA (LiDAR)

Classification image in shape format and metadata

Multitemporal series of Sentinel 2 data. Depending on the Area of Interest other data were also included in the model: LiDAR data, phisiographics data, and climatic data

One time (each two or three year depending on species)

The spatial coverage is limited to the forest species. At this moment preliminary algorithms were developed for Eucalyptus globulus, Quercus robur and Picea abies and the most important effforts were made in Eucalyptus

Accuracy, R2, RMSE, Confusion matrix, and other typical diagnosis test

To be determined

Product Overview


Stiffness or Modulus of elasticity (MOE) is a measure of the resistence of wood to deformation under applied load and is a good indicator of wood quality for structural uses. At tree level, Stiffness is determined by sound stress waves, to estimate velocity, and by green wood density data using the folowing ecuation MOE=V2xdg . After that a mathematical model predicting MOE is built using Satellite, LiDAR and Physiographic data.

MADERA+

Classification image in shape format and metadata

Multitemporal series of Sentinel 2 data. Depending on the Area of Interest other data were also included in the model: LiDAR data, phisiographics data, and climatic data

One time (each two or three year depending on species)

The spatial coverage is limited to the forest species. At this moment preliminary algorithms were developed for Pinus sylvestris and will be validated in Pinus pinaster

Accuracy, R2, RMSE, Confusion matrix, and other typical diagnosis test

To be determined

Product Overview


This product is based on Wood Stiffness product. Once the values of wood stiffness are obtained, the strength class is assigned using the normative of structural wood classification. This product was generated in 2019 for Pinus sylvestris in FORESNA 2.

MADERA+

Classification image in shape format and metadata

Multitemporal series of Sentinel 2 data. Depending on the Area of Interest other data were also included in the model: LiDAR data, phisiographics data, and climatic data

One time (each two or three year depending on species)

The spatial coverage is limited to the forest species. At this moment preliminary algorithms were developed for Pinus sylvestris and will be validated in Pinus pinaster

Accuracy, R2, RMSE, Confusion matrix, and other typical diagnosis test

To be determined

Product Overview


Biomass and CO2 Stocking

The Biomass and CO2 Stocking service provides estimations of the living volume of trees in a forest and its CO2 stock. These products are key for the forest biomass industry and carbon accountings.

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Products


Volume describes m3/ha of wood, the same way biomass describes t/ha of available biomass and CO2 represents the carbon absorbes by a forest in that moment (t CO2/ha).

FÖRA

Classification image in shape format and metadata

Different sources depending on Area of Interest. From free available data in some countries to own LiDAR flight info in others 

One time (each two or three year depending on species)

The spatial coverage is limited to the forest species. At this moment preliminary algorithms were developed for Pinus sylvestris and will be validated in Pinus pinaster

Accuracy, R2, RMSE, Confusion matrix, and other typical diagnosis test

To be determined

Product Overview


Forest Condition

The Forest Condition Service monitors and measures forest health condition, identifying stressed vegetation, due to drought, plagues or any other hampering cause.

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Products


Biotic Damages is produced when an activation is raised because the concurrence of a pest or disease outbreak. The objective is detect the forest loss due the catastrophic event by analysing an image just after the event and an image just before the event. The output of this product is the forest area affected by the biotic damages and an actualized forest mask after the event.

Classification image in Tiff format (TIF) and metadata (TXT)

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

To be determined

Product Overview


Drought Estimation is produced when an activation is raised because a drought event which was detected by meteorological stations. The objective is detect the forest loss due the catastrophic event by analysing an image just after the event and an image just before the event. The output of this product is the forest area affected by the drought event and an actualized forest mask after the event.

Classification image in Tiff format (TIF) and metadata (TXT)

Sentinel-2

0,1 ha. (equivalent to 10 pixels/10m pixel)

Multitemporal

To be determined


Ecosystem Vulnerabilities

The Ecosystem Vulnerabilities Service provides information on specific ecosystem parameters, namely: watershed extent, hydrologic network, biodiversity indicators, habitat fragmentation, floods and forest fire risks.

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Products


A geo-data base of basins and stream network based on the international cartographic standard MGCP. The Basin Stream delineation seeks a data base capable of estimating the flood prone areas along the stream banks. The stream network is most important to monitor the health condition of riparian forests.

GMV 

Vector format (.shp) and metadata (.txt).

VHR, DEM SRTM

Representation: 1:5,000; Feature extraction, 1:2,000

Topology rules, Connectivity scripts, Attributes checked

To be determined

Product Overview


Biodiversity map represents the variety of dominant tree species applying diversity indices. Habitat fragmentation map represents the isolation between forest/species patches.

GMV 

Classification image in raster format (.tif) and metadata (.txt)

Sentinel-2

0,1 ha (equivalent to 10 pixels/10m pixel)

Multitemporal

To be determined


Forestry Accounting

Forestry Accounting provides analytics based on the System of Environmental Economic Accounting (SEEA) proposed by United Nations; SEEA integrates economic and environmental data to provide a comprehensive view of the relationships between economy and environment.

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Products


Physical asset accounts for forest and other wooded lands (land accounts) describe the area of land and related changes over an accounting period. This product is developed for land covers derived from forest and other wooded land data obtained from satellite and LIDAR images. The reporting unit is Ha.

EFI. Contributor: GMV and FÖRA

Excel file (.xlsx)

This product does not make direct use of any row satelite image source

This product has no spatial reference as data are aggregated in an excel table

This product has no spatial resolution as data are aggregated in an excel table

This product has no MMU as data are aggregated in an excel table

Multitemporal – this product compare two different time period to assess the changes in flows

Regional, Provincial

To be determined

To be determined


The wood physical asset account records the volume of timber resources and their changes of a given area over an accounting period. This product is developed for data obtained from LIDAR images. The reporting unit is m3.

EFI. Contributor: GMV and FÖRA

Excel file (.xlsx)

This product does not make direct use of any row satelite image source

This product has no spatial reference as data are aggregated in an excel table

This product has no spatial resolution as data are aggregated in an excel table

This product has no MMU as data are aggregated in an excel table

Multitemporal – this product compare two different time period to assess the changes in flows

Regional, Provincial

To be determined

To be determined


The wood monetary asset account records the value of timber resources and their changes of a given area over an accounting period. This product is developed for data obtained from LIDAR images. The reporting unit is euro.

EFI. Contributor: GMV and FÖRA

Excel file (.xlsx)

This product does not make direct use of any row satelite image source. It is based on Physical Wood Accounts product. 

This product has no spatial reference as data are aggregated in an excel table

This product has no spatial resolution as data are aggregated in an excel table

This product has no MMU as data are aggregated in an excel table

Multitemporal – this product compare two different time period to assess the changes in flows

Regional, Provincial

To be determined

To be determined