FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery

FLAIR: French Land cover from Aerospace ImageRy. Soils play a vital role in providing a range of ecosystem services. Building upon this datset, the FLAIR #2 dataset According to a report by the Food and Agriculture extends the capabilities by incorporating a new input modality, Organization of the United Nations (FAO) in 2015 [1], namely Sentinel-2 satellite image time series, and introduces a a significant portion of the world's soil resources are in a new test dataset Both FLAIR #1 and #2 datasets are part of the condition that can be classified as fair, poor, or very poor. This currently explored or exploited resources by IGN to produce degradation of soils, coupled with the loss of biodiversity, has the French national land cover map reference Occupation du far-reaching implications for the state of ecosystems and their sol à grande échelle (OCS-GE). Remote sensing data have several main characteristics that are of crucial importance depending on the intended purpose. Spatial, temporal and spectral resolutions will influence the choice of data and their importance in a process.