Navopatía Normalized Difference Vegetation Indices

Objective: The objective of this database is to identify the phenological seasonality of the mangrove along the southern coast of the state of Sonora, in northwestern Mexico. Especially with the use of the Normalized Difference Vegetation Index (NDVI) obtained from satellite information. This dataset is part of a larger project entitled "Environmental Controls on the temporal evolution of Energy and CO2 fluxes on an Arid Mangrove of Northwestern Mexico". Both the project are managed by the Instituto Tecnológico de Sonora (ITSON) and funded by the National Laboratory of Coastal Resilience (LANRESC) and the National Council of Science and Technology (CONACYT). --- Study site The study site is found at the coastal intertidal zone of the northern edge of Mazocarit Island, approximately 400 meters east of the Navopatia Field Station, both located in northwestern state of Sonora, México. The site is characterized by the presence of two dominant species of mangroves (Avicennia germinans and Rhizophora mangle) rooted on salt-silt-clayey sediments. The Mazocarit Island is found within the coastal lagoon system known as the Agiabampo-Bacorehuis-Rio Fuerte system encompassing an area of 90,804 ha in the boundaries of the Mexican States of Sonora and Sinaloa. The navopatia meteorological station is in the northern tip of the Mazocarit Island characterized by the presence of red mangrove (Rhizophora mangle) with the following location: UTM Coordinate system Easting: 675582.80 Northing: 2921170.99, UTM zone: 12 N, Datum: WGS84 Geographic location: Latitude: 26.3999, Longitude: -109.2397, Datum: WGS84 --- Data: Normalized Difference Vegetation Index (NDVI) was generated from band 4 (664.5 nm) and band 8 (NIR, 835.1 nm) of Sentinel -2 MSI (MultiSpectral Instrument, Level-1C) as part of the COPERNICUS / S2_SR data collection. Image processing and time series extraction with Google Earth Engine (GEE, https://earthengine.google.com). A total of 104 low-cloud cover (< 5 % cloud cover) images were processed to generate the NDVI time series by type of mangrove. In addition, data contamination was eliminated using the method of moving averages with 12 days. The NDVI data were extracted from two different regions of interest (ROI) defined by the dominant mangrove species that covers the surface