Service Portfolio
Service Portfolio
The F-TEP service portfolio covers thematic processing services (Table 1) and supporting processing services (Table 2), as well as interactive applications (Table 3). A separate Service Portfolio document (pdf) gives a brief overview on the services, while 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 “Core Offering” 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.
Table 1. Thematic Processing Services
Provider |
Availability |
Title |
Description |
Input |
Output |
---|---|---|---|---|---|
|
Core Offering |
VegetationIndices |
Computation of radiometric indices (NDVI, TNDVI, RVI, SAVI, TSAVI, MSAVI, MSAVI2, GEMI, IPVI) Note: supports batch processing |
|
|
|
Core Offering |
ForestChangeS2 |
Forest change mapping based on the ratio of red reflectance between two images |
|
|
|
Core Offering |
LandCoverS2 |
Land cover mapping with image classification trained by the Random Forest model, based on the algorithm implementation in the Orfeo ToolBox |
|
|
|
Core Offering |
LandCoverS1 |
Land cover mapping with image classification trained by the Random Forest model, based on the algorithm implementation in the Orfeo ToolBox |
|
|
|
Core Offering |
LandCoverGeotiff |
Land cover mapping with image classification trained by the Random Forest model, based on the algorithm implementation in the Orfeo ToolBox |
|
|
|
Core Offering |
S1Biomass |
Biomass (stem volume) estimation using a fixed biomass model based on the water cloud model by Attema and Ulaby, 1978 |
|
|
|
by agreement |
AutoChangeS2 |
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 |
|
|
|
by agreement |
ProbaCluster |
Unsupervised K-means clustering Part of the Probability classification and estimation chain |
|
|
|
by agreement |
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 |
|
|
|
by agreement |
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 |
|
|
|
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 |
|
|
|
by agreement |
ForestPropertyDataXml2Shape |
Converts ForestPropertyData from the Finnish Forest Information Standard to ESRI shapefiles |
|
|
|
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 |
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|
Table 2. Supporting Processing Services
Provider |
Availability |
Title |
Description |
Input |
Output |
---|---|---|---|---|---|
|
Core Offering |
S1stack |
Mosaic Sentinel-1 images along the orbit, generating a separate image band per each acquisition day in the output product |
|
|
|
Core Offering |
S1stackTempvar |
Mosaic Sentinel-1 images along the orbit, generating a separate image band per each acquisition day in the output product; additionally produces outputs with the interpolated stack and the temporal variability information |
|
|
|
Core Offering |
CombS2granules |
Combines multiple Sentinel-2 tiles, belonging to the same full acquisition image, into a single output |
|
|
|
Core Offering |
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 |
|
|
|
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 |
|
|
|
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. |
|
|
|
by agreement |
S3toTiff |
Converts Sentinel-3 OLCI data to GeoTiff format. |
|
|
|
by agreement |
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 |
|
|
|
by agreement |
Fmask40 |
Generates cloud masks for the input images using Fmask 4.0 algorithm; supports Sentinel 2 Level 1C and Landsat 8 images |
|
|
|
coming soon |
MaskImage |
Masks an input image using the given mask file and values |
|
|
|
coming soon |
MosaicImages |
Combines multiple input images into one output image using GDAL’s gdalwarp tool |
|
|
|
coming soon |
GdalTranslate |
Performs GDAL’s gdaltranslate tool with user-provided parameters |
|
|
Table 3. GUI Applications
Provider |
Access |
Title |
Description |
Input |
Output |
---|---|---|---|---|---|
|
Core Offering |
Monteverdi |
Satellite image viewer and analysis tool from the open source Orfeo ToolBox v5.8.0 |
|
[can export output] |
|
Core Offering |
QGIS 3 |
QGIS v3.6, a free and open source Geographic Information System |
|
[can export output] |
|
Core Offering |
QGIS 2 |
QGIS v2.18, a free and open source Geographic Information System |
|
[can export output] |
|
Core Offering |
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 |
|
[can export output] |
|
by agreement |
ProbaUI |
GUI for the Probability classification and estimation chain that consists of ProbaCluster, ProbaModel and ProbaEstimates |
|
[can export output] |