Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field...

Monitoring agricultural lands is crucial for achieving food security. Earth Observation (EO) has recently become an essential tool to reach this goal owing to advances in spatial and temporal resolutions as well as radiometric accuracy of the current satellite sensors. Yet, the size of the datasets and the need to preprocess them limit their dissemination to some scientific communities and in direction to stakeholders. The dataset presented here is composed of pluriannual time series of variables acquired by high spatial (10-30 m) and medium to high temporal resolutions (a few days combining images from different swaths) from radar (Sentinel-1) and multispectral (Landsat-8 and Sentinel-2) EO satellites along with commonly used vegetation indices and biophyscial variables averaged over more than 1,400 agricultural fields. Data were made available in the framework of a project aimed at developing the application of numeric tools on EO data for agroecology purposes. This dataset was made publicly available owing to its easyness to use and interest for agronomists, environmentalists as well as economics and politics stakeholders.