Avaliação do Processo de Desertificação em Ouricuri-PE Através de Estimativas de Tendência de Séries Temporais (Evaluation of Desertification Processes in Ouricuri-PE Through Trend Estimates of Times Series)

Willamys Rangel Nunes Sousa (rangelnunes@gmail.com)1, Mailson Sousa Couto (mailsoncouto@gmail.com)2, Angélica Félix Castro (angelicafcastro@gmail.com)3, Marcelino Pereira Santos Silva (prof.marcelino@gmail.com)4

1Instituto Federal do Piauí
2Instituto Federal do Sertão Pernambucano
3Universidade Federal Rural do Semi-Árido
4Universidade do Estado do Rio Grande do Norte

This paper appears in: Revista IEEE América Latina

Publication Date: Feb. 2013
Volume: 11,   Issue: 1 
ISSN: 1548-0992

Desertification is one of the world's direst environmental and ecological issue. However, the absence of reliable methods of identifying the processes of desertification is one of the main factors related to the critical study of this topic. This work has a goal to present a model capable of carrying out this task, by using estimation methods on temporal series of images. In this sense, a Landsat TM images were used to evaluate the degradation in Ouricuri, located in the State of Pernambuco, through the techniques of PDI (Image Processing), using the Normalized Difference Vegetation Index (NDVI) and the implementation of methods tendency estimation of temporal series. Thematic maps were produced of the degraded area between the years 1989 and 2009 to evaluate the evolution of this period of desertification, plus the estimation of soil degradation in the year 2019.

Index Terms:
Desertification, Time Series, Linear Regression   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (745)]