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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-01-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016122000280 |
| _version_ | 1811178832182378496 |
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| author | Bruno Barbosa Jorge Rocha Hugo Costa Mário Caetano |
| author_facet | Bruno Barbosa Jorge Rocha Hugo Costa Mário Caetano |
| author_sort | Bruno Barbosa |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T06:25:34Z |
| format | Article |
| id | doaj.art-cb73b11b48d948bbb39c6eb2f34adff1 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-04-11T06:25:34Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-cb73b11b48d948bbb39c6eb2f34adff12022-12-22T04:40:25ZengElsevierMethodsX2215-01612022-01-019101643Automatic detection of vegetation cover changes in urban-rural interface areasBruno Barbosa0Jorge Rocha1Hugo Costa2Mário Caetano3Centre for Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal; Associated Laboratory TERRA, Lisbon, Portugal; Corresponding author at: Centre for Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal.Centre for Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal; Associated Laboratory TERRA, Lisbon, PortugalDireção-Geral do Território, Lisbon, Portugal; NOVA Information Management School (NOVA IMS), University NOVA of Lisbon, Lisbon, PortugalDireção-Geral do Território, Lisbon, Portugal; NOVA Information Management School (NOVA IMS), University NOVA of Lisbon, Lisbon, PortugalThe 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.http://www.sciencedirect.com/science/article/pii/S2215016122000280Statistical Meaningful Vegetation Changes |
| spellingShingle | Bruno Barbosa Jorge Rocha Hugo Costa Mário Caetano Automatic detection of vegetation cover changes in urban-rural interface areas MethodsX Statistical Meaningful Vegetation Changes |
| title | Automatic detection of vegetation cover changes in urban-rural interface areas |
| title_full | Automatic detection of vegetation cover changes in urban-rural interface areas |
| title_fullStr | Automatic detection of vegetation cover changes in urban-rural interface areas |
| title_full_unstemmed | Automatic detection of vegetation cover changes in urban-rural interface areas |
| title_short | Automatic detection of vegetation cover changes in urban-rural interface areas |
| title_sort | automatic detection of vegetation cover changes in urban rural interface areas |
| topic | Statistical Meaningful Vegetation Changes |
| url | http://www.sciencedirect.com/science/article/pii/S2215016122000280 |
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