Multisensor approach to land use and land cover mapping in Brazilian Amazon

Prudente, Victor Hugo Rohden; Skakun, Sergii; Oldoni, Lucas Volochen; Xaud, Harón Abrahim Magalháes; Xaud, Maristela Ramalho; Adami, Marcos; Sanches, I. D.

doi:10.1016/j.isprsjprs.2022.04.025

Cited by 14 publications

(1 citation statement)

References 67 publications

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“…However, the landscape of coastal wetlands is dynamic, showing strong seasonal fluctuations in water levels and growth and senescence of vegetation (Daí et al, 2019;Bergamo et al, 2022). Both backscatter in SAR images and reflectance in optical images are strongly affected by these seasonal changes (Furtado et al, 2016;Prudente et al, 2022), justifying the importance of dual-season analysis.…”

Section: Introductionmentioning

confidence: 99%

Dual-season comparison of OBIA and pixel-based approaches for coastal wetland classification

Simioni,

Guasselli

2024

RBRH

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Mapping and classifying Coastal Wetlands is important for their conservation. The study aimed to apply Object-Based Image Analysis (OBIA) and pixel-based approaches to answer the questions: (1) which approach is more accurate for classifying Wetlands; (2) Sentinel 1A images improve the classification of Wetlands compared to Sentinel 2A; (3) dual-station sorting has greater potential for sorting Wetlands compared to single-station sorting. We used Sentinel 1 and 2 in single and double seasons (winter and summer) to classify a coastal UA in Rio Grande do Sul. The results show OBIA with greater potential, with accuracy greater than 80%. Sentinel 2 shows higher ranking importance compared to Sentinel 1. Dual season OBIA increased kappa by up to 7% compared to single season. Furthermore, the pixel-based dual season had lower kappa than the OBIA single season. We conclude that OBIA, even at a single station, has greater potential to map coastal AUs.

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Section: Introductionmentioning

confidence: 99%