Autoria: CESAR, G. M.; MIRANDA, M.; UMMUS, M. E.; MACIEL, D.; OLIVEIRA, A. de L.; BRITO, A.; VASCO, K. L.; PACHECO, F.; OMETTO, J. P. H. B.; BARBOSA, C. C. F.; KAMPEL, M.; FLECKER, A.; VALERIO, A. de M.

Resumo: Remote sensing has emerged as a promising tool for environmental monitoring, offering a synoptic view, which contrasts with the time-consuming and costly in situ measurements. This study compares hyperspectral, multispectral, and broadband remote sensing data collected from fishponds in Palmas, Tocantins State, using a combination of field measurements, satellite imagery from PlanetScope SuperDove and smartphone applications called Hydrocolor, respectively. Results showed significant correlations between longer wavelength bands, across different datasets. However, weaker correlations in shorter wavelengths suggest the need for periodic adjustments, especially for lower-spectral-resolution sensors. Additionally, limitations such as cloud cover in satellite imagery highlight the importance of multi-sensor approaches, integrating satellite data with smartphone-based monitoring, to track small water bodies. The findings highlight the potential of citizen science in environmental management, although challenges related to data validation across platforms remain. Further studies are required to improve data integration and promote the adoption of emerging technologies in water monitoring.

Ano de publicação: 2025

Tipo de publicação: Artigo em anais e proceedings

Unidade: Embrapa Pesca e Aquicultura

Palavras-chave: Amazonia, Amazonian fish farm, Aquaculture, Aquicultura, Citizen science, Hydrocolor, Peixe, Remote sensing, Sensoriamento Remoto, Water color