Detalhes bibliográficos
| Resumo: | 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. |
|---|
| Autores principais: | Barbosa, Bruno |
|---|
| Outros Autores: | Rocha, Jorge; Costa, Hugo; Caetano, Mário |
|---|
| Assunto: | Sentinel 2 Time Series Vegetation index Vegetation change Python |
|---|
| Ano: | 2022 |
|---|
| País: | Portugal |
|---|
| Tipo de documento: | artigo |
|---|
| Tipo de acesso: | acesso aberto |
|---|
| Instituição associada: | Universidade de Lisboa |
|---|
| Idioma: | inglês |
|---|
| Origem: | Repositório da Universidade de Lisboa |
|---|