Material suplementario del artículo "Evaluación de la variación espacio-temporal de la respuesta espectral en manglares de La Habana, Cuba, a través de sensores remotos"
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Material suplementario. Assessment of the spatial and temporal variations in spectral response in mangroves of Havana, Cuba, by remote sensing. Introduction: Mangrove are one of the most important forest types because its ecosystem services and ecological roles. They represent 5% of the emerged land of Cuba. There are no previous studies describing spectral vegetation indexes variations by remote sensing in Cuban mangroves, but these variables can be used as indicators of the conservation status of the ecosystem and sustain national wide assessments. Objetive: in the current paper we describe spatial and temporal variations in two spectral vegetation indexes in four near-city mangroves at Havana, Cuba and compare them to a natural control site. Methods: Study was conducted in localities named Bajo de Santa Ana, Cojimar, Rincon de Guanabo and El Cobre – Itabo lagoon and as control site was selected northern Zapata swamp. By using Climate Engine platform we extract, from 2460 Landsat satellite images, mean values of spectral indexes NDVI and EVI in 5 parcels per locality, since 1984 to 2019. Variables were statistically compared among localities and global trend was described. Results: We detect geographic differences in both indexes, which can be related with structural properties and conservation degree of mangroves in each locality. Global trend of indexes was to increase, but differently among localities. Slighter changes appear in control site and, among near city mangroves, in Rincon de Guanabo and Cojimar. The ordering of localities from spectral variables was consistent with the ranking in general conservation degree. There is a need of promoting studies using remote sensors at this forest types and to generate strong and reliable indicators that can sustain future researches and monitoring schemes in Caribbean mangroves.
创建时间:
2020-01-24



