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.

    • Quality screening.

    • Integrated atmospheric and topographic correction: one algorithm for all sensors.

    • Adjacency effect correction.

    • BRDF 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

    • Texture metrics

    • Landscape metrics

  • Generation of highly Analysis Ready Data plus (hARD+). Open in a GIS and analyze!

    • Land Surface Phenology (LSP)

    • Trend analysis

    • Change, Aftereffect, Trend (CAT) analysis

    • Machine Learning regression

    • Machine Learning classification

  • Detailed data mining of the Clear Sky Observation (CSO) availability

  • Data Fusion

    • 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