@InProceedings{SanchesLMSTEFM:2019:CaStSo,
               author = "Sanches, Ieda Del'Arco and Luiz, Alfredo J. B. and Montibeller, B. 
                         and Schultz, Bruno and Trabaquini, Kleber and Eberhardt, Isaque 
                         Daniel R. and Formaggio, Ant{\^o}nio Roberto and Maurano, 
                         Lu{\'{\i}}s Eduardo Pinheiro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and 
                         {University of Tartu} and {Geoambiente Sensoriamento Remoto} and 
                         {Empresa de Pesquisa Agropecu{\'a}ria e Extens{\~a}o Rural 
                         (EPAGRI)} and {Universidade de Bras{\'{\i}}lia (UnB)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Understanding the dynamic of tropical agriculture for remote 
                         sensing applications: A case study of southeastern Brazil",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Ray, S. S. and Navalgund, R. and Justice, C.",
                pages = "149--156",
         organization = "ISPRS-GEOGLAM-ISRS Joint International Workshop on Earth 
                         Observations for Agricultural Monitoring",
            publisher = "International Society for Photogrammetry and Remote Sensing",
             keywords = "Satellite image, Optical sensor, Multispectral, RGB false 
                         composition, NDVI, Monitoring.",
             abstract = "The agricultural activity can greatly benefit from remote sensing 
                         technology (RS). Optical passive RS has been vastly explored for 
                         agricultural mapping and monitoring, in despite of cloud cover 
                         issue. This is observed even in the tropics, where frequency of 
                         clouds is very high. However, more studies are needed to better 
                         understand the high dynamism of tropical agriculture and its 
                         impact on the use of passive RS. In tropical countries, such as in 
                         Brazil, the use of current agricultural technologies, associated 
                         with favourable climate, allow the planting period to be wide and 
                         to have plants of varying phenological cycles. In this context, 
                         the main objective of the current study is to better understand 
                         the dynamics of a selected area in Southeast of S{\~a}o Paulo 
                         state, and its impact on the use of orbital passive RS. For that 
                         purpose, data (from field and satellite) from 55 agricultural 
                         fields, including annual, semi-perennial and perennial crops and 
                         silviculture, were acquired between July 2014 and December 2016. 
                         Field campaigns were conducted in a monthly base to gather 
                         information about the condition of the crops along their 
                         development (data available in a website). Field data 
                         corresponding to the 2014-2015 crop year were associated with a 
                         time series of Landsat-8/OLI RGB false-colour compositions images 
                         and MODIS/Terra NDVI profiles. The type of information that can be 
                         extracted (such as specie identification, crop management 
                         practices adopted, date of harvest, type o production system used 
                         etc) by combining passive remote sensing data with field data is 
                         discussed in the paper.",
  conference-location = "New Delhi, India",
      conference-year = "18-20 Feb.",
                 issn = "16821750",
             language = "en",
           targetfile = "sanches_understanding.pdf",
        urlaccessdate = "27 abr. 2024"
}