Abstract

Currently has been a growing concern about the relationship between humans and nature. The challenges to making this relationship more sustainable have been pointed out. Together with this growing need and concern environmental, geotechnologies appear as strong allies, especially in the generation of more accurate and updated data to assist in tasks such as environmental management and planning in the processes of exploration of a given biome. In this context, this study aimed to analyze the phenological behavior of Cerrado phytophysiognomies (Pirapitinga Ecological Station - MG) with the use of time series of NDVI and surface temperature determined from digital images, obtained with the Landsat 5-TM sensor. For this, a study was carried out with the two time series, analyzing the intrinsic variables, such as trend, seasonality, prediction and cointegration. The prediction of the NDVI series presented a standard error lower than 0.079, which represents a quality information about the phytophysiognomy analyzed at a future time. This is a very important fact, given that currently the Cerrado suffers from an accelerated process of degradation. Therefore, it is useful information in processes of recovery, maneuver and management of degraded areas.

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