@Article{PrudenteMJSOABS:2021:CoVeIn,
               author = "Prudente, Victor Hugo Rohden and Mercante, Erivelto and Johann, 
                         Jerry Adriani and Souza, Carlos Henrique Wachholz de and Oldoni, 
                         Lucas Volochen and Almeida, Luiz and Becker, Willyan and Silva, 
                         Bruno bonemberger da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual do Oeste do Paran{\'a} (UNIOESTE)} and 
                         {Universidade Estadual do Oeste do Paran{\'a} (UNIOESTE)} and 
                         {Universidade Federal do Paran{\'a} (UFPR)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         do Oeste do Paran{\'a} (UNIOESTE)} and {Universidade Estadual do 
                         Oeste do Paran{\'a} (UNIOESTE)}",
                title = "Comparison Between Vegetation Index Obtained by Active and Passive 
                         Proximal Sensors",
              journal = "Journal of Agricultural Studies",
                 year = "2021",
               volume = "9",
               number = "2",
                pages = "391--405",
                 note = "Setores de Atividade: Agricultura, Pecu{\'a}ria e Servi{\c{c}}os 
                         Relacionados.",
             keywords = "NDVI, crop monitoring, terrestrial sensors, soybeans, beans, 
                         agriculture.",
             abstract = "Proximal sensors have been used to characterize the crop 
                         biophysical properties by reflectance values and/or using 
                         Vegetation Indices (IV). Our goal with this work is to compare 
                         NDVI (Normalized Difference Vegetation Index) spectra-temporal 
                         profiles obtained by active (GreenSeeker 505 Handheld) and passive 
                         (FieldSpec4 model Standard-Res) proximal sensors to monitor 
                         soybeans and beans. It was monitored agricultural fields with 
                         soybeans Nidera 5909RG variety and beans Imperador variety, 
                         located in the municipality of Cascavel, Parana state, Brazil. The 
                         proximal sensors were used to monitor the crop's conditions on 
                         different Days After Sowing (DAS). NDVI from FieldSpec4 (NDVI FS) 
                         showed a higher correlation with GreenSeeker NDVI (NDVI GS) in the 
                         wavelengths of 649 nm and 771 nm for soybeans (rs = 0.9105) and 
                         646 nm and 792 nm for beans (rs = 0.9382). The inter-calibration 
                         of NDVI GS values in function of NDVI FS, considering the entire 
                         phenological cycle, resulted in RMSE = 0.0520 and dr = 0.8630 for 
                         soybeans and RMSE = 0.0636 and dr = 0.8890 for beans. NDVI values 
                         showed saturation during the major vegetative development of the 
                         crops, interfering in the inter-calibration process. In general, 
                         the NDVI GS and NDVI FS were similar in terms of their 
                         spectral-temporal pattern. According to our results, the active 
                         sensor could be used to crop monitoring, resulting in a lower cost 
                         and less climatic interference.",
                  doi = "10.5296/jas.v9i2.18462",
                  url = "http://dx.doi.org/10.5296/jas.v9i2.18462",
                 issn = "2166-0379",
                label = "lattes: 6154929133513022 1 PrudenteMJSOABS:2021:CoVeIn",
             language = "en",
           targetfile = "prudente_comparison.pdf",
        urlaccessdate = "21 maio 2024"
}