@Article{PrudenteMeJoSoCaMeCa:2021:UsTeRe,
               author = "Prudente, Victor Hugo Rohden and Mercante, Erivelto and Johann, 
                         Jerry Adriani and Souza, Carlos Henrique Wachholz de and Cattani, 
                         Carlos Eduardo Vizzotto and Mendes, Isaque Souza and Caon, 
                         Iv{\~a} Luis",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual do Oeste do Paran{\'a} (UEOPR)} and 
                         {Universidade Estadual do Oeste do Paran{\'a} (UEOPR)} and 
                         {Universidade Federal do Paran{\'a} (UFPR)} and {Universidade 
                         Estadual do Oeste do Paran{\'a} (UEOPR)} and {Universidade 
                         Estadual do Oeste do Paran{\'a} (UEOPR)} and {Universidade 
                         Estadual do Oeste do Paran{\'a} (UEOPR)}",
                title = "Use of terrestrial remote sensing to estimate soybeans and beans 
                         biophysical parameters",
              journal = "Geocarto International",
                 year = "2021",
               volume = "36",
               number = "7",
                pages = "773--790",
             abstract = "Vegetation Indices are important for agricultural monitoring and 
                         the assessment of biophysical attributes of different crops. In 
                         this context, the objective of this study was to evaluate the 
                         relationships between normalized difference vegetation indices 
                         (NDVIs) obtained by different terrestrial remote sensors (active 
                         and passive), with respect to biophysical aspects of soybeans and 
                         beans. With the NDVI GS (GreenSeeker 505 handheld active sensor), 
                         it was possible to obtain a better leaf area index and height 
                         estimate for both crops, as well chlorophyll index for soybeans. 
                         The NDVI FS (FieldSpec4 model Standard-Res passive sensor) is 
                         highlight in being able to estimate values for intercepted 
                         photosynthetically active radiation, mainly for soybeans. By using 
                         NDVIs with active and passive terrestrial remote sensors, it was 
                         possible to create models to estimate the biophysical parameters 
                         for soybeans and beans.",
                  doi = "10.1080/10106049.2019.1624982",
                  url = "http://dx.doi.org/10.1080/10106049.2019.1624982",
                 issn = "1010-6049",
             language = "en",
           targetfile = "prudente_use.pdf",
        urlaccessdate = "09 maio 2024"
}