Analysis of agrometeorological data: new paper published in the journal Remote Sensing

The paper titled "Comparing Remote and Proximal Sensing of Agrometeorological Parameters across Different Agricultural Regions in Croatia: A Case Study Using ERA5-Land, Agri4Cast, and In Situ Stations during the Period 2019–2021" was published as part of a special issue of Remote Sensing in Precision Agriculture Production. The authors of the article are Dora Kreković, Vlatko Galić, Krunoslav Tržec, Ivana Podnar Žarko and Mario Kušek.

This study analysed the usability of remote satellite-based and proximal ground-based agrometeorological data sources for precision agriculture in Croatia. Data from open sources (Copernicus CDS and Agri4Cast) were compared with data from commercial ground-based agrometeorological stations (PinovaMeteo), which monitor important environmental parameters for the physiological condition of crops.

The analysis was carried out for 10 different locations over three years. The results showed strong correlations between satellite/model data and ground measurements for air temperature, moderate correlations for soil temperature, but lower correlations for precipitation. However, the residual analysis generally shows higher residual values, especially in areas with complex topography and near large bodies of water or seas. The conclusion of the study points to possible limitations in the use of satellite/model data for decision-making in agriculture.