Automatic detection of vegetation cover changes in urban-rural interface areas

Bruno Barbosa, Jorge Rocha, Hugo Costa, Mário Caetano

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Article number101643
Pages (from-to)1-7
Number of pages7
JournalMethodsX
Volume9
Early online date24 Feb 2022
DOIs
Publication statusPublished - 1 Mar 2022

Keywords

  • Sentinel 2
  • Time Series
  • Vegetation Index
  • Vegetation Change
  • Python

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