Bibliometric mapping of remote sensing-based crop climate vulnerability: from spectral monitoring to predictive geospatial intelligence

Hoyos-Alayo W.M. · Revista Brasileira de Cartografia (2026) · DOI: 10.14393/rbcv78n0a-83904

Resumen

The intensification of droughts, heatwaves and floods is increasing crop vulnerability and compromising food security, which requires a robust scientific basis to guide agricultural adaptation supported by remote sensing. This study aimed to describe and quantitatively analyse the evolution of research on remote sensing-based crop climate vulnerability, identifying temporal, geographical and thematic patterns. A quantitative, exploratory, descriptive, longitudinal and retrospective bibliometric design was applied to 2,343 Scopus records published between 1985 and 2026, processed in Bibliometrix 5.1.1 and VOSviewer 1.6.20 through productivity, impact and collaboration indicators, together with RPYS. The results show an annual growth rate of 4%, 627 sources, 10,408 authors, 5.17 co-authors per document, 35.3% international collaboration and 19.93 citations per document, with leadership by China, the United States and India. Remote Sensing and Science of the Total Environment concentrated dissemination, while machine learning and Google Earth Engine shaped the recent agenda. The study concludes that the field has reached scientific and technological maturity, consolidated remote sensing as a strategic axis for assessing, modelling and anticipating agricultural vulnerability, and advanced towards predictive approaches with high relevance for climate change adaptation. This work is licensed under a Creative Commons Attribution 4.0 International License – CC BY. This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation.

Instituciones: Universidad Tecnológica del Perú