Assessing seasonal and long-term mangrove canopy variations in Sinaloa, northwest Mexico, based on time series of enhanced vegetation index (EVI) data

Abstract

The use of remote sensing tools for mangrove monitoring is currently a strategy used to preserve this important coastal vegetation type. However, the temporal resolution of most satellite imagery limits the analysis of seasonal changes. Here, seasonal trend analysis (STA) was performed using an enhanced vegetation index (EVI) monthly time series (2005–2016) edited from MOD13Q1 products (MODIS Terra), to detect changes in mangrove cover in Sinaloa State in northwestern Mexico. The results were compared with a baseline map derived from a post-classification comparison of two mangrove distribution maps of 2005 and 2015. The STA procedure enabled the identification of mangrove canopy seasonal cycles, with open canopies between May and July and closed canopies from August to October. It was also possible to detect annual and long-term changes in canopy, with positive trends observed in most of Sinaloa’s mangrove ecosystems, which partially agree with the post-classification comparison results. Despite their coarse resolution, using the MODIS EVI products proved to be useful to confidently detect short- and long-term changes in mangrove cover, particularly in large ecosystems. Consequently, land use change analyses using these inputs could help to take actions related to mangrove cover management, considering the trends of change in this vegetation type.