@Article{SanchezIpiaPCACLSMSFQ:2021:ReCoCo,
               author = "Sanchez Ipia, Alber Hamersson and Picoli, Michelle Cristina 
                         Ara{\'u}jo and C{\^a}mara, Gilberto and Andrade Neto, Pedro 
                         Ribeiro de and Chaves, Michel Eust{\'a}quio Dantas and Lechler, 
                         Sarah and Soares, Anderson Reis and Marujo, Rennan de Freitas 
                         Bezerra and Sim{\~o}es, Rolf Ezequiel de Oliveira and Ferreira, 
                         Karine Reis and Queiroz, Gilberto Ribeiro de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {University of M{\"u}nster} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Reply to comment on {"}Comparison of cloud cover detection 
                         algorithms on sentinel-2 images of the Amazon tropical forest{"}",
              journal = "Remote Sensing",
                 year = "2021",
               volume = "13",
               number = "5",
                pages = "e1028",
                month = "Mar.",
             keywords = "remote sensing, Amazon forest, clouds, Sentinel-2, MAJA.",
             abstract = "In their comments about our paper, the authors remark on two 
                         issues regarding our results relating to the MACCS-ATCOR Joint 
                         Algorithm (MAJA). The first relates to the sub-optimal performance 
                         of this algorithm under the conditions of our tests, while the 
                         second corresponds to an error in our interpretation of MAJA's bit 
                         mask. To answer the first issue, we acknowledge MAJA's capacity to 
                         improve its performance as the number of images increases with 
                         time. However, in our paper, we used the images we had available 
                         at the time we wrote our paper. Regarding the second issue, we 
                         misread the MAJA's bit mask and mistakenly labelled shadows as 
                         clouds. We regret our error and here we present the updated tables 
                         and images. We corrected our estimation and, consequently, there 
                         is an increment in MAJA's accuracy in the detection of clouds and 
                         cloud shadows. However, these increments are not enough to change 
                         the conclusion of our original paper.",
                  doi = "10.3390/rs13051028",
                  url = "http://dx.doi.org/10.3390/rs13051028",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-13-01028.pdf",
        urlaccessdate = "04 maio 2024"
}