FORCE is an all-in-one processing engine for medium-resolution Earth Observation image archives. FORCE uses the data cube concept to mass-generate Analysis Ready Data, and enables large area + time series applications. With FORCE, you can perform all essential tasks in a typical Earth Observation Analysis workflow, i.e. going from data to information.
FORCE natively supports the integrated processing and analysis of
Landsat 4/5 TM,
Landsat 7 ETM+,
Landsat 8 OLI and
Sentinel-2 A/B MSI.
Non-native data sources can also be processed, e.g. Sentinel-1 SAR data or environmental variables.
Integration of Landsat 4–8, and Sentinel-2 A/B as Virtual Constellation
Data management of Landsat and Sentinel-2 Level 1 data + Download of Sentinel-2 data
Near-realtime (NRT) processing capability
Generation of Analysis Ready Data (ARD): Data Cubes
Advanced cloud and cloud shadow detection.
Integrated atmospheric and topographic correction: one algorithm for all sensors.
Adjacency effect correction.
Resolution merge of Sentinel-2 bands: 20m –> 10m.
Co-registration of Sentinel-2 images
Data cubing: reprojection / gridding.
Generation of highly Analysis Ready Data (hARD): Large area. Gap free. Easy to use. Ideal input for Machine Learners!
Best Available Pixel (BAP) composites.
Phenology Adaptive Composites (PAC).
Spectral Temporal Metrics (STM)
Time Series generation
Time series folding
Time series interpolation
Generation of highly Analysis Ready Data plus (hARD+). Open in a GIS and analyze!
Land Surface Phenology (LSP)
Change, Aftereffect, Trend (CAT) analysis
Machine Learning regression
Machine Learning classification
Detailed data mining of the Clear Sky Observation (CSO) availability
Improving spatial resolution of coarse continuous fields: MODIS LSP –> medium resolution LSP.
Improving spatial resolution of lower resolution ARD using higher resolution ARD: 30m Landsat –> 10m using Sentinel-2 targets