Author(s): Barbosa, Bruno ; Rocha, Jorge ; Costa, Hugo ; Caetano, Mário
Date: 2022
Persistent ID: http://hdl.handle.net/10362/134492
Origin: Repositório Institucional da UNL
Project/scholarship: info:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FSSI%2F0102%2F2017/PT;
Subject(s): Sentinel 2; Time Series; Vegetation Index; Vegetation Change; Python; Clinical Biochemistry; Medical Laboratory Technology
Barbosa, B., Rocha, J., Costa, H., & Caetano, M. (2022). Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX, 9, 1-7. [101643]. https://doi.org/10.1016/j.mex.2022.101643 ---------This work was financed by national funds through FCT—Portuguese Foundation for Science and Technology, I.P., under the framework of the Project “FORESTER - Data fusion of sensor networks and fire spread modelling for decision support in forest fire suppression” [PCIF / SSI / 0102 / 2017] and is relative to a scientific Research Fellowship BI_27_20.
The present work started from the need to streamline the process of monitoring changes in vegetation in the in urban-rural interface fuel management bands, defined by Portuguese legislation as areas where the existing biomass must be totally or partially removed. The model developed uses a time series of Sentinel 2 satellite images to search for changes in the vegetation cover in a 100 meters buffer around built-up areas. The use of satellite data allows analysing large areas and speeds up the task of identifying the places where fuel management took place and the places where there is a need to carry out such management. The objective of the proposed method is to give a script in Python language that can verify the cleanliness of vegetation in the fuel management ranges through multi-temporal analysis of satellite images.
