A remote sensing-based approach to suspended sediment estimation in rivers with scarce in situ data

Journal of Hydrology 2026 Open access

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Authors: Juliana Andrade Campos, Cintia B. Uvo, Thais Fujita, Luz Adriana Cuartas, Paulo Rógenes Monteiro Pontes
DOI: 10.1016/j.jhydrol.2026.135779
Cited by: 1
References: 52

Abstract

• ANNs fuse reflectance, rainfall (CHIRPS) and soils to estimate river SSC. • Reflectance models capture event-driven SSC spikes on cloud-free days. • Rainfall/soil model provides daily SSC continuity during cloudy periods. • Complementary models enable continuous and event-sensitive SSC monitoring. • Models enable spatiotemporal analyses across basins with scarce in situ data.

Fields of Study & Subjects

Hydrology and Sediment Transport Processes Flood Risk Assessment and Management Soil erosion and sediment transport

Publication details

Journal / source
Journal of Hydrology
Publisher
Elsevier BV
Volume
677
Pages
135779–135779
Publication date
30 May 2026
Language
EN