@InProceedings{VicenteStoLoeManKog:2017:MaLaFe,
               author = "Vicente, Luiz Eduardo and Stolf, Marcela Taborda and Loebmann, 
                         Daniel Gomes dos Santos Wendriner and Manzatto, Celso and 
                         Koga-Vicente, Andr{\'e}a",
                title = "Mapping landscape features related to soil Carbon using ASTER 
                         Thermal Infrared images",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7605--7612",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Climatic change derived from greenhouse gases (GHG) anthropogenic 
                         emissions consists in one of the main concerns of public policy 
                         makers. In Brazil, agricultural activities and livestock are 
                         responsible for 23% of gross GHG emissions, and land use and soil 
                         management are the main factors that drive these emissions levels. 
                         Soil carbon is mainly stocked as soil organic matter (SOM), and 
                         SOM stocks are related to clay content in soil and soil 
                         management. In order to improve the monitoring of these factors, 
                         we propose the use of ASTER TIR images data to map quartz, 
                         phyllosilicated clays, and non-photosynthetically active 
                         vegetation (NPAV) in order to assess remote sensing techniques to 
                         large-scale mapping of environments with greater or less soil 
                         carbon accumulation. We used thermal bands ratios to get quartz, 
                         phyllosilicated clays, and NPAV image fractions, that were 
                         compared to ASTER VNIR images and to the soil classes map of the 
                         study area. Results show that areas with higher values in quartz 
                         image fraction are related to bare soils areas in quartz-enriched 
                         soils. Higher values in phyllosilicates image fraction are related 
                         to bare soils areas with clay soils and higher values in NPAV 
                         image fraction are consistent to the vegetation activity 
                         throughout the study area, including crop residues areas detected 
                         in large-scale farms.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60115",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMG45",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMG45",
           targetfile = "60115.pdf",
                 type = "Monitoramento agr{\'{\i}}cola",
        urlaccessdate = "27 abr. 2024"
}