@InProceedings{PaivaArco:2019:IdPrDe,
               author = "Paiva, Paloma Gen{\'u} da Silva and Arcoverde, Gustavo Felipe 
                         Balu{\'e}",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o de proxies de degrada{\c{c}}{\~a}o 
                         pela an{\'a}lise da resposta vegetacional, h{\'{\i}}drica e 
                         termal, nos biomas Caatinga e Cerrado",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2674--2677",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Degrada{\c{c}}{\~a}o, resili{\^e}ncia, efici{\^e}ncia da 
                         chuva, sensoriamento remoto, an{\'a}lise, Degradation, 
                         resilience, rain use efficiency, remote sensing, analysis.",
             abstract = "Os biomas Cerrado e Caatinga apresentam grande vulnerabilidade no 
                         que se diz respeito {\`a} conserva{\c{c}}{\~a}o e {\`a} 
                         degrada{\c{c}}{\~a}o. A degrada{\c{c}}{\~a}o destes biomas tem 
                         sido cada vez mais presente, trazendo riscos e prov{\'a}veis 
                         ind{\'{\i}}cios de desertifica{\c{c}}{\~a}o e at{\'e} mesmo 
                         extin{\c{c}}{\~a}o de ecossistemas e da biodiversidade 
                         existente. Desta forma, o presente trabalho teve como finalidade 
                         identificar proxies de degrada{\c{c}}{\~a}o destes biomas. Para 
                         tanto, foram selecionados pontos espec{\'{\i}}ficos dos dois 
                         biomas que apresentaram classes de vegeta{\c{c}}{\~a}o natural e 
                         pastagem que permaneceram ao longo de 18 anos. Nestes pontos foram 
                         obtidas as respostas da vegeta{\c{c}}{\~a}o em raz{\~a}o da 
                         precipita{\c{c}}{\~a}o e temperatura de superf{\'{\i}}cie ao 
                         longo deste per{\'{\i}}odo. Foram observados dados orbitais 
                         (EVI, LST e TMPA) e de esta{\c{c}}{\~o}es meteorol{\'o}gicas 
                         para ent{\~a}o gerar gr{\'a}ficos de correla{\c{c}}{\~a}o e 
                         dispers{\~a}o entre as vari{\'a}veis em estudo. Verificou-se 
                         pontos com desiquil{\'{\i}}brio entre os {\'{\i}}ndices 
                         vegetativos / precipita{\c{c}}{\~a}o, precipita{\c{c}}{\~a}o / 
                         temperatura e entre {\'{\i}}ndices vegetativos / temperatura, 
                         indicando proxies de degrada{\c{c}}{\~a}o. ABSTRACT: The Cerrado 
                         and Caatinga biomes present great vulnerability in terms of 
                         conservation and degradation. The degradation of these biomes has 
                         been increasingly present, bringing risks and probable indications 
                         of desertification and even extinction of ecosystems and existing 
                         biodiversity. Thus, the present work had the purpose to analyze 
                         proxies of degradation of these biomes. For this purpose, specific 
                         points were selected from the two biomes that showed classes of 
                         natural vegetation and pasture that remained over 18 years. At 
                         these points were obtained the vegetation response due to 
                         precipitation and surface temperature over that period. Orbital 
                         data (EVI, LST and TMPA) and meteorological stations were used to 
                         run correlation and dispersion graphs between the variables under 
                         study. There were unbalanced points between vegetative indexes / 
                         precipitation, precipitation / temperature and between vegetative 
                         indexes / temperature, indicating proxies of degradation.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TUDUFE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUDUFE",
           targetfile = "97190.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "28 abr. 2024"
}