The Amazon floodplain is a complex mosaic of forests, lakes and channels, seasonally inundated by Amazonian rivers. The flood pulse is a key factor in the ecological processes of the várzea, which transforms periodically terrestrial environments into aquatic environments. This dynamics provides habitats for many fauna and flora species and provides a suitable spawning environment and abundant food and habitat for fish larvae protection. JERS-1 radar based mapping estimates that 17% of the Amazon basin is covered by wetlands. However this estimate is based in just one high water in the1996 hydrological year. The launch of ALOS radar based satellite in 2006 with a temporal resolution of 40 days offer a new possibility to better understand the water level annual variation in different habitats. However, these inundation maps derived from satellite images need to be validated with field information. For this it was conducted a field experiment to identify the flooding dates, from 2008 to 2009, in different regions of the floodplain, through the use of temperature sensors (thermosensors or iButtons). Therefore, this paper presents a methodology to detect the flooding period through the use of temperature sensors in the floodplain located in the Mamiraua Sustainable Development Reserve, and also describes the first results of the flooding dynamics of this ecosystem.Pages: 5092-509
