Applications of passive optical sensors for the assessment of forest aboveground biomass: a comprehensive review
Aplicaciones de sensores ópticos pasivos para la evaluación de biomasa aérea forestal: una revisión integral
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Forests play a fundamental role in mitigating the effects generated to the atmosphere by the emission of greenhouse gases due to their capacity to capture carbon. The purpose of this manuscript is to review the methodology used for the quantification of carbon in aerial biomass with the support of passive optical sensors. A search of published literature was performed in academic and scientific databases including Scopus, Web of science, Springer link, Multidisciplinary Digital Publishing Institute and the academic search engine Consensus. The results obtained show that field work is the starting point for the development and application of various techniques, the estimation of carbon sequestration using manual techniques generates good accuracy, but increases time and labor costs. The combination of field data with satellite images and machine learning algorithms allows calculations over large areas with high accuracy, allowing the generation of predictive models and facilitating the evaluation of large areas of land quickly and reliably, which is essential in the management of natural resources.
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