The article elucidates the primary functionalities and benefi ts of employing an interactive Ukraine soil and climate database, which was developed through the integration of data derived from agrometeorological observations and remote sensing of the Earth. The purpose of this study is to construct an interactive database on soils and climate in Ukraine and to validate its applicability for advancing scientifi c and analytical endeavors, as well as forecasting within the realm of agroecological monitoring. Methods. The Ukraine soil and climate database was developed using open agrometeorological data such as air temperature, precipitation, wind speed, and relative air humidity, provided by the Ukrainian Hydrometeorological Institute. Data regarding land surface temperature were retrieved through targeted JavaScript queries in Google Earth Engine, utilizing information from the MODIS/061/MOD11A2 aerospace monitoring system; data on potential evapotranspiration were retrieved from IDAHOEPSCOR/ TERRACLIMATE; the imagery has a spatial resolution of 1 km. Meteorological indices, namely the Standardized Precipitation Evapotranspiration Index (SPEI) and the Palmer Drought Severity Index (PDSI), were computed in accordance with internationally accepted methodologies. Soil-related data for Ukraine were acquired via JavaScript queries in Google Earth Engine from the OpenLandMap databases, which provide information on soil type, soil organic carbon content, soil solution reaction, and bulk density, as well as from HiHydroSoil v2. 0, which supplies data on soil hydrophysical properties. Regional data extraction was facilitated by applying a mask of administrative boundaries from FAO/ GAUL/2015/level1. The database was developed using the JavaScript React library and is openly accessible. Results. The resulting database constitutes a user-friendly and adaptable tool for accessing primary soil and climate data and performing analyses pertinent to agronomic research. A notable advantage of the database is its accessibility and scalability across a diverse range of devices, operating systems, and display resolutions. The application offers the capability to select specifi c data based on temporal and regional parameters, enabling subsequent downloads in PDF format without compromising or truncating the original dataset. This feature supports the continued utilization of soil and climate information in agronomic and agroecological research, even offl ine, within any third-party offi ce or statistical software preferred by the researcher. Conclusions. The Ukraine soil and climate database represents a pioneering and innovative information- analytical tool, unparalleled within the country. Its adoption is poised to substantially diminish the time and labor expended on the collection, processing, and analysis of critical agrometeorological indicators and soil parameters in Ukraine, which are essential for devising optimal, resource-conserving, and adaptive agrotechnologies.
Lykhovyd et al. (Sun,) studied this question.
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