Offering
Forestry TEP provides a range of features to support you to take full advantage of the expanding databases of Earth Observation and auxiliary datasets and the benefits of powerful online processing approaches in your forest monitoring activities.
Through Forestry TEP, you can
- Sentinel 1, 2 and 3 (globally)
- Landsat 5, 7 and 8 (for Europe)
- Ancillary datasets (e.g. forest field plots)
- Access to the databases of CREODIAS
- Access to additional datasets can be arranged, please contact us to see how we could arrange it.
- Cloud masking (FMask4.0) and basic image processing (Vegetation Indices etc., see below)
- Open source software Orfeo Tool Box, SNAP and QGIS
- Specialized forest monitoring applications (Probability, Autochange etc., see below)
- Docker based development interface allows easy implementation of your own processing scripts and services in your preferred programming language.
- Easy sharing of scripts within the Forestry TEP community
- Easy sharing of data, services and products within the forestry community, and marketing commercial forest and land monitoring services.
- Training events and consulting is available, tailored to your needs as needed, to support the efficient use of the platform. Please see the end of this page for training options, and please be welcome to contact us for more information.
Processing services and tools
The Forestry TEP service portfolio covers thematic processing services and supporting processing services, as well as interactive applications. The User Manual gives detailed guidance on how to use each service and tool.
In the tables below, services and tools that are listed as being available in either the Basic or Standard packages are readily available to all platform users. The services listed as “by agreement” are also deployed on the platform, and they can be made available for use through a separate agreement. Interested users are encouraged to contact us for enquiries.
Thematic Processing Services
| Provider | Availability | Title | Description | Input | Output |
|---|---|---|---|---|---|
 |
Standard package | VegetationIndices | Computation of radiometric indices (NDVI, TNDVI, RVI, SAVI, TSAVI, MSAVI, MSAVI2, GEMI, IPVI) Note: supports batch processing | Sentinel-2 L1C (1 or more) | GeoTIFF | |
Standard package | ForestChangeS2 | Forest change mapping based on the ratio of red reflectance between two images | 2 x Sentinel-2 L1C | GeoTIFF |
|
Standard package | LandCoverGeotiff | Land cover mapping with image classification trained by the Random Forest model, based on the algorithm implementation in the Orfeo ToolBox | GeoTIFF, Reference data (Shapefile) | GeoTIFF |
  |
Basic package | SpectralRecovery | Automated analysis of satellite EO data time series to monitor vegetation recovery in forested ecosystems. More information: https://people-er.github.io/spectral-recovery/ | Image time series (GeoTIFF) from e.g. Sentinel-2 or Landsat, interest area polygons (Shapefile or GeoPackage) | computed metrics (GeoTIFF), metrics plot (png), spectral trajectory plot (png), log files (txt) |
 |
Pay-per-use | GAMMAS1Geocoding | Terrain geocoding of Sentinel‑1 GRD products User guide |
Sentinel-1 GRD products | 1. Amplitude for vh and vv backscatter 2.Incidence angle 3. Layover and shadow mask (3 x GeoTIFF) |
|
Pay-per-use | GAMMAS1composites | Compositing of GAMMAS1Geocoding service outputs: temporal means of S1 SAR backscatter images | GAMMAS1 Geocoding output products | Average backscatter for vv and vh (GeoTIFF) |
 |
Pay-per-use | S2ARM – Sentinel-2 Analysis Ready Mosaic | Cloud free image compositing for a given Sentinel-2 tile, using imagery acquired within a specified time range | Sentinel-2 L2A | Composite image (GeoTIFF), quicklook image (jpg) |
 |
UNet package | UNetFineTuning | Finetuning of a UNet model with sample plot data | Input imagery (e.g. Sentinel-2) Reference plot shapefile (polygon) |
Finetuned UNet model |
|
UNet package | UNetPredictor | Forest variable prediction with UNet models | Input imagery (e.g. Sentinel-2 in GeoTIFF format) Optional: finetuned UNet model (output from UNetFineTuning) |
GeoTIFF |
|
Prebasso package | Prebasso | Forest growth and ecosystem carbon balance model. Can be used with either Geopackage or raster inputs. User guide |
Site type (Finnish fertility class codes, 1-8) Tree height, species-wise Tree diameter, species-wise Basal area, species-wise Tree species |
Selected biomass, production and carbon flux attributes |
|
Basic package, k‑NN package | kNearestNeighbours | Predicts forest properties or other user specified target variables using k Nearest Neighbours (kNN) algorithm. More information at: https://people-er.github.io/k-NN/ | GeoTIFF image, Reference data (.csv) | GeoTIFF, CSV |
|
AutoChange package | AutoChange | Change detection between two multispectral images from (preferably) the same satellite system; based on VTT-developed AutoChange methodology, which utilizes K-means clustering and subdivision of clusters of the first image | GeoTIFF image. File name heuristics used to detect image type to be able to use default parameters: S2A_MSIL1C_* S2B_MSIL1C_* S2A_L1C_* S2B_L1C_* S2A_MSIL2A_* S2B_MSIL2A_* S2A_L2A_* S2B_L2A_* LC08_* LO08_* LC8_* LO8_* – or Envimon output |
GeoTIFF |
|
Probability package | ProbaCluster | Unsupervised K-means clustering Part of the Probability classification and estimation chain |
GeoTIFF or ERS image, or the Envimon output (zip) | ProbaCluster output (zip) |
|
Probability package | ProbaModel | Associates ground reference data with the clusters from ProbaCluster, by producing variable (forest or other) spatial averages Part of the Probability classification and estimation chain |
ProbaCluster output (zip), Reference data (plot data, shapefile or an estimates image) | ProbaModel output (zip) |
|
Probability package | ProbaEstimates | Produces a variable estimates output for (forest or other) spatial variables using clusters from ProbaCluster and cluster content data from ProbaModel Part of the Probability classification and estimation chain |
GeoTIFF or ERS image, or the Envimon output (zip), ProbaModel output (zip) | ProbaEstimates output (zip) |
|
by agreement | MaskProbaEstimates | Masks the output from ProbaEstimates with cloud mask generated in the Envimon service and with an optional forest mask Part of the Probability classification and estimation chain |
ProbaEstimates output (zip), Envimon output (zip), Forest mask (GeoTiff), optional | ProbaEstimates output (zip) |
|
by agreement | ForestPropertyData |
Converts ForestPropertyData from the Finnish Forest Information Standard to ESRI shapefiles | ForestPropertyData xml | Shapefile |
|
by agreement | Estimate2Vector | Appends existing forest stand data with forest variable estimates provided as a raster image; the vector formatted stand data can be GeoJSON, ESRI shapefile or ForestPropertyData from the Finnish Forest Information Standard | Estimate image in GDAL supported format, Stand data (either ForestPropertyData xml, GeoJSON or Shapefile) | Updated stand data (XML, GeoJSON or Shapefile) |
Supporting Processing Services
| Provider | Availability | Title | Description | Input | Output |
|---|---|---|---|---|---|
|
Pay-per-use | Sen2LikeProduct Sen2LikeSingleTile Sen2LikeSingleTileDataSearch |
Using the Sen2Like tool, combines Sentinel-2 with Landsat data to reach a denser time series of harmonised or fused surface reflectance products. | Sentinel-2 L1C Landsat 8/9 |
Zipped .SAFE folder structure, or a single GeoTIFF image of each output |
|
Basic package | Sen2Cor2110, Sen2Cor290, Sen2Cor255 |
Performs atmospheric, terrain and cirrus correction of Top-Of-Atmosphere Sentinel-2 L1C input data. The latest version Sen2Cor 2.11.0 applies for processing baselines 02.05 – 05.09 and uses the Copernicus DEM. | Sentinel-2 L1C | GeoTIFF |
|
Basic package | Sentinel2ToGeotiff | Creates a GeoTIFF image from Sentinel-2 Level 1C or Level 2A input image with chosen bands and output image resolution | Sentinel-2 L1C or L2A in .SAFE format | GeoTIFF |
|
Basic package | Fmask40 | Generates cloud masks for the input images using Fmask 4.0 algorithm; supports Sentinel 2 Level 1C and Landsat 8 images | Sentinel-2 L1C, Landsat 8 | GeoTIFF |
|
Basic package | Envimon | Extracts Sentinel-2 data to a multi-band image, and performs cloud masking with a VTT in-house method; outputs the contained images and the generated cloud masks | Sentinel-2 L1C, Sentinel-2 L2A, Landsat 8 | Envimon output (zip) |
|
Basic package | ALSMetrics | Derives metrics from airborne laser scanning data into a raster file that is suitable for joint use with Sentinel-2 data | ALS data in LAS format | GeoTIFF |
|
AutoChange package | AutoChangeFCM | Post-processing for AutoChange outputs, to mask outputs based on change type and magnitude | AutoChange output image | Biomass change mask (GeoTIFF) |
|
Probability package, k‑NN package, Prebasso package | ProductPostProcessing | Creates single layer forest attribute products from Probability, k-NN and Prebasso outputs | ProbaEstimates or kNearestNeighbours output files | GeoTIFF |
|
AutoChange package | ThresholdMasking | Masking by thresholding the input image | GeoTIFF | GeoTIFF |
|
k‑NN package | LeaveOneOutMetrics | Calculates accuracy metrics with leave-one-out crossvalidation for kNN feature bank | Reference data (.csv) | CSV |
|
Basic package | GdalInfo |
Runs gdalinfo on given image(s) | Image(s) in GDAL supported format | Text file |
|
Basic package | GdalTranslate |
Runs gdal_translate on a given image | Image in GDAL supported format | An image in GDAL supported format |
|
Basic package | GdalWarp |
Runs gdalwarp on given image(s) | Image(s) in GDAL supported format | An image in GDAL supported format |
|
Basic package | GdalCalc |
Runs gdal_calc.py for one or two input images | Images (1-2) in GDAL supported format | An image in GDAL supported format |
|
Standard package | S1stack | Mosaic Sentinel-1 images along the orbit, generating a separate image band per each acquisition day in the output product | Sentinel-1 GRD/SDV collection in the same geometry | image stack (GeoTIFF) |
|
Standard package | S1stackTempvar | Mosaic Sentinel-1 images along the orbit, generating VV and VH bands per each acquisition day in the output product; additionally produces outputs with the interpolated stack and the temporal variability information | Sentinel-1 GRDH/SDV images in the same geometry | image stack (GeoTIFF), image stack interpolated (GeoTIFF), temporal variability (GeoTIFF) |
|
Standard package | CombS2granules | Combines multiple Sentinel-2 tiles, belonging to the same full acquisition image, into a single output | N x Sentinel-2 L1C | GeoTIFF |
|
Standard package | CombS2granulesZ | Combines multiple Sentinel-2 tiles, belonging to the same full acquisition image, into a single output; additionally performs projection to support tiles belonging to different UTM zones | N x Sentinel-2 L1C | GeoTIFF |
 |
by agreement, API use only | Sentinel image selection | Metadata query service for sentinel image selection that creates a database of the available images matching the search criteria and their metadata | Parameters describing the required image characteristics | Sqlite3 database |
|
by agreement | Analysis-ready S2 | Combines a time series of Sentinel-2 L2A data to a uniform mosaic. Includes selection of usable data, atmospheric correction and relative radiometric normalization. | N x Sentinel-2 L2A | Analysis-ready Sentinel-2 GeoTIFF |
|
by agreement | S3toTiff | Converts Sentinel-3 OLCI data to GeoTIFF format. | Sentinel-3 OLCI | GeoTIFF in EPSG:3857 |
GUI Applications
| Provider | Access | Title | Description | Input | Output |
|---|---|---|---|---|---|
|
Basic package | Monteverdi | Satellite image viewer and analysis tool from the open source Orfeo ToolBox v5.8.0 | several input types | [can export output] |
|
Basic package | QGIS334, QGIS3 | QGIS v3.34 (and an earlier version), a free and open source Geographic Information System | several input types, e.g. GeoTIFF , Shapefile | [can export output] |
|
Basic package | SNAP | Sentinel Applications Platform (SNAP) v6.0, an application for processing and analysis of Sentinel and other data – by Brockmann Consult, Array Systems Computing and C-S | any Sentinel data | [can export output] |
|
by agreement | ProbaUI | GUI for the Probability classification and estimation chain that consists of ProbaCluster, ProbaModel and ProbaEstimates | image data reference data | [can export output] |
Training services
We arrange a range of Forestry TEP Trainings.
Discount of 10% is extended to Research and Educational projects.
| Training | Description | Price |
|---|---|---|
| Training Course #1 |
Online dedicated training to user – 2 hoursThe Forestry TEP Online Dedicated Training supports the user in initiating the use of the platform, with emphasis towards the user’s specific needs.
Includes a break |
1,700 € |
| Training Course #2 |
Online Webinar – 1 hourThe Forestry TEP Online Webinar provides a broad overview of the platform and its capabilities, tuned to the audience (Basic / Intermediate / Advanced). The webinar contents are adjusted according to the requirements, such as focus on service development. An introductory webinar would contain:
|
2,000 € |
| Training Course #3 |
Introductory training course – 4 hoursThe Forestry TEP Introductory Training provides the participants with the skills needed to effectively utilise the platform.
Includes two breaks |
< 20 people:
5,500 € < 40 people: 6,500 € < 80 people: 7,500 € On-site training in Europe: +1,000 € |
| Training Course #4 |
Introductory and Advanced level training course – 8 hoursThe Forestry TEP Introductory and Advanced Level Training provides a comprehensive exploration of the platform’s capabilities.
Includes a lunch break and two other breaks |
< 20 people:
8,000 € < 40 people: 9,400 € < 80 people: 10,800 € On-site training in Europe: +1,200 € |