Automatic detection of vegetation cover changes in urban-rural interface areas
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 seri...
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Published in | MethodsX Vol. 9; p. 101643 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.01.2022
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | 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 m 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.
• The paper presents a step-by-step procedure for a Sentinel 2 time series vegetation index analysis.
• Automated routine to detection of spatiotemporal vegetation changes based on statistical parameters.
• Used Python language to do geoprocessing analysis.
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2215-0161 2215-0161 |
DOI: | 10.1016/j.mex.2022.101643 |