Soil moisture bibliometrics in Brazil: Estimations using remote sensing

Authors

DOI:

https://doi.org/10.26848/rbgf.v19.02.p1137-1556

Keywords:

Soil moisture, Brazil, SMAP, Climate Change, Water recources

Abstract

Soil moisture plays a critical role in the hydrological cycle, ecosystem productivity, and climate regulation. This study presents a bibliometric analysis of soil moisture estimation using remote sensing in Brazil, based on 99 scientific articles published between 1995 and 2024. The analysis reveals increasing scientific production, particularly after 2010, and highlights recurring themes such as MODIS, SMAP, energy balance, and agricultural drought. Although research has advanced in recent years, it remains uneven across Brazil's biomes and limited in the application of advanced tools such as machine learning. The findings suggest that remote sensing has become a strategic tool for monitoring soil moisture, with growing importance for climate change adaptation and water resource management. By identifying knowledge gaps and thematic trends, this work contributes to a more integrated and regionally relevant research agenda, supporting sustainable land and water use across South America.

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Author Biographies

Giulianna Karine Gabriel Cunha, UFRN

Engenheira Ambiental e Mestre em Engenharia Sanitária e Ambiental pela UFRN. Bacharel em Ciências e Tecnologia com ênfase em Tecnologia Ambiental. Atualmente é doutoranda em Ciências Climáticas (UFRN) e foi professora substituta na área de Recursos Hídricos. Atua em pesquisas sobre qualidade do solo e da água, uso e cobertura da terra, recuperação de áreas degradadas, hidroclimatologia e recursos hídricos.

Karinne Reis Deusdará Leal, Univerisidade Federal do Rio Grande do Norte

Atualmente é pós-doutoranda na UFRN, atuando no projeto Klimapolis/INCT na sub-rede de água e solo. Foi professora na UNIFEI, contribuindo com o ProfÁgua na análise de dados e formulação de políticas públicas. Lecionou disciplinas de recursos hídricos e SIG para análises ambientais na graduação. Atuou como analista de pesquisa no CEMADEN, com foco em escassez hídrica e comunicação científica. É doutora em Ciência do Sistema Terrestre pelo INPE (2016), com pesquisa em hidrologia e biogeoquímica, e mestre em Engenharia Ambiental pela UNESP (2011), com ênfase em saneamento. Tem experiência em análise de dados, ciclo hidrológico, balanço hídrico, SIG, impactos climáticos, poluição e serviços ecossistêmicos.

Jonathan Mota da Silva, Univerisidade Federal do Rio Grande do Norte

Físico pela UECE, com mestrado e doutorado em Ciências Atmosféricas pela USP. Professor adjunto na UFRN, coordena o Laboratório LEMA, orienta pesquisas (mestrado e doutorado) em Ciências Climáticas e Eng. Civil e Ambiental em projetos nacionais e internacionais nas áreas de Hidroclimatologia, Recursos Hídricos, Modelagem e Instrumentação Hidrometeorológica.

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Published

2026-05-23

How to Cite

Cunha, G. K. G., Deusdará Leal, K. R., & da Silva, J. M. (2026). Soil moisture bibliometrics in Brazil: Estimations using remote sensing. Brazilian Journal of Physical Geography, 19(02), 1137–1556. https://doi.org/10.26848/rbgf.v19.02.p1137-1556

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Geoprocessamento e Sensoriamento Remoto

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