Chapter Above‐Ground Biomass Estimation with High Spatial Resolution Satellite Images

• Autor principal: Cristina Gonçalves, Ana (auth)
• Otros Autores: Sousa, Adélia (auth), Marques daSilva, José R. (auth)
• Formato: Electrónico Capítulo de libro
• Lenguaje: inglés
• Publicado: InTechOpen 2017
• Materias: Alternative & renewable energy sources & technology; QuickBird, multi‐resolution segmentation, crown horizontal projection, forest inventory, regressions
• Acceso en línea: DOAB: download the publication; DOAB: description of the publication

Sumario

Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots. The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using remote sensing data is presented. A case study is given with an innovative methodology to estimate above‐ground biomass based on crown horizontal projection obtained with high spatial resolution satellite images for two evergreen oak species. The linear functions fitted for pure, mixed and both compositions showed a good performance. Also, the functions with dummy variables to distinguish species and compositions adjusted had the best performance. An error threshold of 5% corresponds to stand areas of 8.7 and 5.5 ha for the functions of all species and compositions without and with dummy variables. This method enables the overall area evaluation, and it is easily implemented in a geographic information system environment.

ISBN

65665

Acceso

Open Access