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@Article{TejadaGörEspCanOme:2019:EvSpCo,
               author = "Tejada, Graciela and G{\"o}rgens, Eric Bastos and 
                         Esp{\'{\i}}rito-Santo, Fernando Del Bon and Cantinho, Roberta 
                         Zecchini and Ometto, Jean Pierre Henry Balbaud",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Evaluating spatial coverage of data on the aboveground biomass in 
                         undisturbed forests in the Brazilian Amazon",
              journal = "Carbon Balance and Management",
                 year = "2019",
               volume = "14",
               number = "1",
                pages = "e11",
                month = "Sept.",
             keywords = "Amazon, Tropical rain forest, Remote sensing, Carbon, Aboveground 
                         biomass, REDD+.",
             abstract = "Background: Brazilian Amazon forests contain a large stock of 
                         carbon that could be released into the atmosphere as a result of 
                         land use and cover change. To quantify the carbon stocks, Brazil 
                         has forest inventory plots from diferent sources, but they are 
                         unstandardized and not always available to the scientifc 
                         community. Considering the Brazil\‑ ian Amazon extension, 
                         the use of remote sensing, combined with forest inventory plots, 
                         is one of the best options to estimate forest aboveground biomass 
                         (AGB). Nevertheless, the combination of limited forest inventory 
                         data and diferent remote sensing products has resulted in 
                         signifcant diferences in the spatial distribution of AGB 
                         estimates. This study evaluates the spatial coverage of AGB data 
                         (forest inventory plots, AGB maps and remote sensing products) in 
                         undisturbed forests in the Brazilian Amazon. Additionally, we 
                         analyze the interconnection between these data and AGB 
                         stakeholders producing the information. Specifcally, we provide 
                         the frst benchmark of the existing feld plots in terms of their 
                         size, frequency, and spatial distribution. Results: We synthesized 
                         the coverage of forest inventory plots, AGB maps and airborne 
                         light detection and rang\‑ ing (LiDAR) transects of the 
                         Brazilian Amazon. Although several extensive forest inventories 
                         have been implemented, these AGB data cover a small fraction of 
                         this region (e.g., central Amazon remains largely uncovered). 
                         Although the use of new technology such as airborne LiDAR cover a 
                         signifcant extension of AGB surveys, these data and forest plots 
                         represent only 1% of the entire forest area of the Brazilian 
                         Amazon. Conclusions: Considering that several institutions 
                         involved in forest inventories of the Brazilian Amazon have 
                         difer\‑ ent goals, protocols, and time frames for forest 
                         surveys, forest inventory data of the Brazilian Amazon remain 
                         unstand\‑ ardized. Research funding agencies have a very 
                         important role in establishing a clear sharing policy to make data 
                         free and open as well as in harmonizing the collection procedure. 
                         Nevertheless, the use of old and new forest inventory plots 
                         combined with airborne LiDAR data and satellite images will likely 
                         reduce the uncertainty of the AGB distribu\‑ tion of the 
                         Brazilian Amazon.",
                  doi = "10.1186/s13021-019-0126-8",
                  url = "http://dx.doi.org/10.1186/s13021-019-0126-8",
                 issn = "1750-0680",
             language = "en",
           targetfile = "s13021-019-0126-8.pdf",
        urlaccessdate = "29 mar. 2024"
}


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