Spatiotemporal analysis of scientific research to estimate agricultural damage from flooding

The objective of this study was to analyze scientific articles on the estimation of agricultural damage due to flooding using bibliometric indicators, to determine crops of interest and analysis methodologies. The Scopus bibliographic database was reviewed for the period 2000-2022. The keywords used in the search were “flood damage to crops” and “flooding in crops.” A total of 236 texts were collected, mostly from Asian countries. The agricultural crops analyzed more frequently were, in Asian countries: rice (China and Bangladesh), sugarcane (India), and vegetables (Japan); in European countries: vineyards (France and Italy) and wheat (Germany and Spain); and in America: corn (USA and Mexico) and beans (Mexico). Among the simulation models, the most recurrent were HEC-RAS, MIKE 21 Flow Model FM, and satellite imagery, which combined empirical approaches (damage data collected after flooding events) and synthetic approaches (data collected through questionnaires) for data analysis. In the case of Mexico, little research was documented, representing an area of opportunity. However, it should be noted that this study only analyzed publications in English and from the Scopus database. http://dx.doi.org/10.37114/abaagrof/2025.1 e2024-27 https://www.youtube.com/watch?v=7MagiFhofd4