Estimation of Forest Biomass for Energy Purposes Using Vegetation and Field Data Indices, District of Mabalane - Mozambique
In sub-Saharan Africa, the intense exploitation of forests for the extraction of firewood and coal in arid and semi-arid areas. The District of Mabalane supplies the cities of Maputo, Matola and Xai-Xai with firewood and charcoal. However, there is little knowledge about the availability of biomass...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Brasil |
| Institución: | Universidade Federal de Uberlândia (UFU) |
| Repositorio: | Revista brasileira de cartografia - RBC (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.seer.ufu.br:article/46828 |
| Acceso en línea: | https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/46828 |
| Access Level: | acceso abierto |
| Palabra clave: | Biomassa NDVI Sensoriamento Remoto Equações alométricas Mabalane Semiárido Biomass Remote Sensing Allometric equations Semiarid |
| Sumario: | In sub-Saharan Africa, the intense exploitation of forests for the extraction of firewood and coal in arid and semi-arid areas. The District of Mabalane supplies the cities of Maputo, Matola and Xai-Xai with firewood and charcoal. However, there is little knowledge about the availability of biomass in these areas. The present study aims to: analyze the relationship between NDVI derived from the satellite image and the biomass estimated in the field; model the estimate of biomass in arid area. NDVI values were obtained from the Landsat-8 satellite image. In the field, fifteen plots with an area of 30 x 30 m were geo-referenced and all live woody plants with a diameter at breast height (DBH) equal to or greater than 2.5 cm were measured and heights and DBHs and their biomass estimated from allometric equations . The NDVI values at the sampling points varied between -0.508 and -0.236, positively correlated with the biomass values estimated in the 3 equations, which ranged from 5.32 to 56.87 {t.h} ^ {- 1}. The linear regression between NDVI and biomass in the model that presented the best result, obtained a coefficient of determination R2 = 0.882. The regression equation adjusted from indirect measurement of biomass and vegetation index by normalized difference (NDVI), made it possible to estimate forest biomass in semi-arid areas by remote sensing, with an error of 36% in the area of the present study. The adjusted model can be used to support biomass estimation studies using remote sensing and field data in similar areas. |
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