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@Article{SatoGSKASBA:2016:PoChFo,
               author = "Sato, Luciane Yumie and Gomes, Vitor Conrado Faria and 
                         Shimabukuro, Yosio Edemir and Keller, Michael and Arai, 
                         Eg{\'{\i}}dio and Santos, Maiza Nara dos and Brown, Irving 
                         Foster and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {International Institute of 
                         Tropical Forestry} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Empresa Brasileira de Pesquisa Agropecu{\'a}ria 
                         (EMBRAPA)} and {Universidade Federal do Acre (UFAC)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Post-fire changes in forest biomass retrieved by airborne LiDAR in 
                         Amazonia",
              journal = "Remote Sensing",
                 year = "2016",
               volume = "8",
               number = "10",
                pages = "839",
             keywords = "light detection and ranging, Amazon, aboveground biomass, tropical 
                         forest, fire, LiDAR, degradation.",
             abstract = "Fire is one of the main factors directly impacting Amazonian 
                         forest biomass and dynamics. Because of Amazonias large 
                         geographical extent, remote sensing techniques are required for 
                         comprehensively assessing forest fire impacts at the landscape 
                         level. In this context, Light Detection and Ranging (LiDAR) stands 
                         out as a technology capable of retrieving direct measurements of 
                         vegetation vertical arrangement, which can be directly associated 
                         with aboveground biomass. This work aims, for the first time, to 
                         quantify post-fire changes in forest canopy height and biomass 
                         using airborne LiDAR in western Amazonia. For this, the present 
                         study evaluated four areas located in the state of Acre, called 
                         Rio Branco, Humait{\'a}, Bonal and Talism{\~a}. Rio Branco and 
                         Humait{\'a} burned in 2005 and Bonal and Talism{\~a} burned in 
                         2010. In these areas, we inventoried a total of 25 plots (0.25 ha 
                         each) in 2014. Humait{\'a} and Talism{\~a} are located in an 
                         open forest with bamboo and Bonal and Rio Branco are located in a 
                         dense forest. Our results showed that even ten years after the 
                         fire event, there was no complete recovery of the height and 
                         biomass of the burned areas (p < 0.05). The percentage difference 
                         in height between control and burned sites was 2.23% for Rio 
                         Branco, 9.26% for Humait{\'a}, 10.03% for Talism{\~a} and 20.25% 
                         for Bonal. All burned sites had significantly lower biomass values 
                         than control sites. In Rio Branco (ten years after fire), 
                         Humait{\'a} (nine years after fire), Bonal (four years after 
                         fire) and Talism{\~a} (five years after fire) biomass was 6.71%, 
                         13.66%, 17.89% and 22.69% lower than control sites, respectively. 
                         The total amount of biomass lost for the studied sites was 
                         16,706.3 Mg, with an average loss of 4176.6 Mg for sites burned in 
                         2005 and 2890 Mg for sites burned in 2010, with an average loss of 
                         3615 Mg. Fire impact associated with tree mortality was clearly 
                         detected using LiDAR data up to ten years after the fire event. 
                         This study indicates that fire disturbance in the Amazon region 
                         can cause persistent above-ground biomass loss and subsequent 
                         reduction of forest carbon stocks. Continuous monitoring of burned 
                         forests is required for depicting the long-term recovery 
                         trajectory of fire-affected Amazonian forests.",
                  doi = "10.3390/rs8100839",
                  url = "http://dx.doi.org/10.3390/rs8100839",
                 issn = "2072-4292",
                label = "lattes: 1913003589198061 3 SatoGSKA-BA:2016:PoChFo",
             language = "en",
           targetfile = "sato_post.pdf",
        urlaccessdate = "15 jan. 2021"
}


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