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Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur

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Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur

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Valencia, GM.; Anaya, JA.; Caro-Lopera, FJ. (2022). Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur. Revista de Teledetección. 0(59):23-46. https://doi.org/10.4995/raet.2022.15594

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/180433

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Título: Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur
Otro titulo: Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
Autor: Valencia, Germán M. Anaya, Jesús A. Caro-Lopera, Francisco J.
Fecha difusión:
Resumen:
[EN] Biomass burning is an important source of greenhouse gases (GHG) and air pollutants (AP) in developing countries. In this research, a bottom-up method was implemented for the estimation of emissions, emphasizing the ...[+]


[ES] La quema de biomasa es una fuente importante de gases efecto invernadero (GEI) y contaminantes atmosféricos (CA) en la región norte de Sur América (NHSA). En esta investigación se implementó un método bottom-up para ...[+]
Palabras clave: Bottom-up , Área quemada , Emisiones atmosféricas , Validación de biomasa vegetal aérea , Gases efecto invernadero , Contaminantes atmosféricos , Incertidumbre , Burned area , Atmospheric emissions , Aboveground biomass validation , Greenhouse gases , Atmospheric pollutants , Uncertainty
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista de Teledetección. (issn: 1133-0953 ) (eissn: 1988-8740 )
DOI: 10.4995/raet.2022.15594
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/raet.2022.15594
Código del Proyecto:
info:eu-repo/grantAgreement/Minciencias//PDBCNAL71331711/
Agradecimientos:
Queremos agradecer a la Universidades de San Buenaventura a través de sus programas de Especialización en Sistemas de Información Geográfica y Maestría en Geoinformática, a la Universidad de Medellín a través de ...[+]
Tipo: Artículo

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