Use of vegetation indexes to determine the life cycle extension of bamboo in a fragment located in the eastern region of Acre
The objective of the study was to monitor and determine the bamboo life cycle of the genus Guadua sp. in a fragment located in Senador Guiomard – AC, through the application of vegetation indices. The NDVI, EVI and SAVI indexes were obtained and evaluated using images from Landsat 5, 7 and 8 satelli...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Federal de Itajubá (UNIFEI) |
| Repositorio: | Research, Society and Development |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/28734 |
| Acceso en línea: | https://rsdjournal.org/index.php/rsd/article/view/28734 |
| Access Level: | acceso abierto |
| Palabra clave: | Guadua Detección remota EVI NDVI SAVI Amazonia. Sensoriamento remoto Amazônia. Remote sensing Amazon. |
| Sumario: | The objective of the study was to monitor and determine the bamboo life cycle of the genus Guadua sp. in a fragment located in Senador Guiomard – AC, through the application of vegetation indices. The NDVI, EVI and SAVI indexes were obtained and evaluated using images from Landsat 5, 7 and 8 satellites, from 1989 to 2021, acquired and processed through the Google Earth Engine (GEE) platform. In the period 1990-1991, NDVI values ranging between 0.2 and 0.4 were found, and negative values for the period 2020-2021, indicating scarcity of vegetation. The results obtained for EVI and SAVI indicate a significant variation when the bamboo was mature and demonstrate the occurrence of two mortality events in the bamboo population, for the same period. The analysis of vegetation indices indicated the occurrence of two population mortality events occurring between 1990 to 1991 and 2020 to 2021, confirmed by the occurrence of the most abrupt variations in the values of the vegetation indices, verified in the generated graphs and maps, being able to infer a period of 29 years for the life cycle of this population. |
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