@Article{NeeffGraçDutrFrei:2005:SuFoMo,
               author = "Neeff, Till and Gra{\c{c}}a, Paulo Maur{\'{\i}}cio de 
                         Alencastro and Dutra, Luciano Vieira and Freitas, Corina da 
                         Costa",
          affiliation = "{University of Freiburg} and {National Institute for Research in 
                         the Amazon (INPA)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Carbon budget estimation in Central Amazonia: Successional forest 
                         modeling from remote sensing data",
              journal = "Remote Sensing of Environment",
                 year = "2005",
               volume = "94",
               number = "4",
                pages = "508--522",
                month = "Fev.",
             keywords = "Amazonia, biomass, carbon, carbon budget, degraded forest, 
                         interferometric height, land use, land use change, land use 
                         dynamics, SAR, secondary forest.",
             abstract = "The carbon budget resulting from the dynamics of forest vegetation 
                         was estimated spatially for a study region with intensive land use 
                         change in the Central Amazonia forest. Vegetation height was 
                         recovered from airborne SAR interferometry, and was used along 
                         with an established relationship between forest height and age for 
                         mapping the successional stages of vegetation. A map of forest 
                         ages could be generated and validated (age RMSE was 3.5 years). 
                         Biomass stocks and annual rates of increment in biomass could be 
                         attributed to the forest ages by a comprehensive growth model for 
                         forests in the study area. A conceptual model of land use change 
                         was developed for the study area that accounts for four different 
                         types of land use: primary forest, secondary forest, degraded 
                         forest and nonforest. The transition probabilities between those 
                         land use types were recovered from internal modeling of available 
                         data, from literature sources, and from large-scale remote sensing 
                         results. The land use change matrix, area-age densities of 
                         secondary forests, and a growth model, yield a spatialized 
                         estimate of the carbon budget. The committed emissions from annual 
                         land use change were computed. For the year 2000-2001 the carbon 
                         balance was negative, on an area of ca. 5700 ha, land use dynamics 
                         resulted in a release of approximately 16,000 t of carbon, mainly 
                         arising from the cutting of primary forest for agricultural 
                         purposes. The secondary forest carbon budget was almost balanced, 
                         and forest degradation was revealed less important.",
           copyholder = "SID/SCD",
                  doi = "10.1016/j.rse.2004.12.002",
                  url = "http://dx.doi.org/10.1016/j.rse.2004.12.002",
                 issn = "0034-4257",
             language = "en",
           targetfile = "1-s2.0-S0034425704003621-main.pdf",
        urlaccessdate = "2024, May 19"
}