Abstract Understanding the variability in synthetic aperture radar (SAR) backscatter as a function of the phenological variability of vegetation and tropical environmental conditions is still a challenge. Through quantitative and qualitative analyses, this study addresses how both environmental and precipitation conditions, tidal range, and vegetation density affect the backscatter coefficients of coastal environments based on the analysis of four C-band, HH-Polarization, RADARSAT-1 Wide 1 images, in descending orbit, acquired in the wet and dry seasons. The canopy structural variations were analyzed using the enhanced vegetation index (EVI), and correlated with the backscatter values of SAR images, in order to define the predominant backscatter mechanisms, making it possible to distinguish the mangroves from the brackish marshes in the easternmost Amazon coastal plain (Caranguejos Island). The C-band, HH-Polarization RADARSAT-1 backscatter shows the highest correlation with average EVI values in the dry season. The results show that mangroves and brackish marshes can be distinguished in images acquired under low precipitation, especially in the dry season. Variations in the tidal conditions have no effect on the backscatter values of RADARSAT-1 images. We conclude, therefore, that multitemporal RADARSAT-1 images are adequate for monitoring and discriminating wetland environments in a humid tropical climate.

Este trabalho apresenta os resultados do reconhecimento e mapeamento dos ambientes costeiros da região do Golfão Maranhense, Brasil, utilizando uma abordagem metodológica que incluiu: (a) análise integrada com base no processamento digital de imagens, ópticas Landsat-4 TM e SPOT-2 HRV, de imagens SAR (Synthetic Aperture Radar) do RADARSAT-1, e dados de elevação da SRTM (Shuttle Radar Topography Mission); (b) sistema de informações geográficas; e (c) levantamentos de campo relativos à geomorfologia, topografia e sedimentologia. Os ambientes costeiros, assim mapeados foram agrupados em quatro setores: Setor 1, com pântanos salinos, pântanos de água doce, lagos intermitentes e canal estuarino; Setor 2, abrangendo tabuleiro costeiro, planície de maré lamosa, planície fluvial, planície de maré arenosa, praias de macromaré, área construída e lagos artificiais; Setor 3, com manguezal, paleodunas e planície de maré mista; e Setor 4, constituído por dunas móveis. Além disso, foram também reconhecidos lagos perenes, deltas de maré vazante e planícies de supramaré arenosas. O processamento digital e a análise visual das imagens de sensores remotos orbitais, associados ao uso de sistemas de informações geográficas, mostraram-se eficazes no mapeamento de zonas costeiras tropicais, possibilitando a geração de produtos com boa acurácia e precisão cartográfica.

This paper presents the results of coastal environmental mapping of Golfão Maranhense, Brazil, using a methodological approach that includes: (a) integrated analysis based on digital image processing of Landsat-4 TM, SPOT-2 HRV, RADARSAT-1 SAR (Synthetic Aperture Radar) and SRTM (Shuttle Radar Topography Mission) data; (b) geographic information system; (c) field surveys related to geomorphology, topography and sedimentology. Mapped environments were grouped into four sectors: Sector 1, with salt marsh, fresh marsh, estuarine channel and intermittent lake; Sector 2, embracing coastal plateau, fluvial floodplain, sandflats, macrotidal beach, urban areas, artificial lakes and mudflats; Sector 3, including, paleodunes covered with grass, mangroves and mixed intertidal banks; Sector 4, constituted by mobile dunes. In addition, perennial lakes, ebb-tidal deltas and supratidal sandflats were recognized. Digital image processing visual analysis of orbital remote sensing data in association with geographic information system, proved to be effective in tropical coastal mapping, allowing the generation of products with good accuracy and cartographic precision.