@Article{LuebeckWMAOGOTBGH:2020:DrDiSA,
               author = "Luebeck, Dieter and Wimmer, Christian and Moreira, Laila F. and 
                         Alc{\^a}ntara, Marlon and Or{\'e}, Gian Carlos and G{\'o}es, 
                         Juliana A. and Oliveira, Luciano P. and Teruel, B{\'a}rbara and 
                         Bins, Leonardo Sant'Anna and Gabrielli, Lucas H. and 
                         Hernandez-Figueroa, Hugo E.",
          affiliation = "{Radaz Ind{\'u}stria e Com{\'e}rcio de Produtos Eletr{\^o}nicos 
                         Ltda} and {Wimmer Consulting} and {Radaz Ind{\'u}stria e 
                         Com{\'e}rcio de Produtos Eletr{\^o}nicos Ltda} and {Universidade 
                         Estadual de Campinas (UNICAMP)} and {Universidade Estadual de 
                         Campinas (UNICAMP)} and {Universidade Estadual de Campinas 
                         (UNICAMP)} and {Universidade Estadual de Campinas (UNICAMP)} and 
                         {Universidade Estadual de Campinas (UNICAMP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         de Campinas (UNICAMP)} and {Universidade Estadual de Campinas 
                         (UNICAMP)}",
                title = "Drone-borne differential SAR interferometry",
              journal = "Remote Sensing",
                 year = "2020",
               volume = "12",
               number = "5",
                pages = "e778",
                month = "Mar.",
             keywords = "differential interferometry, DInSAR, drone-borne radar, 
                         range-Doppler processor, corner reflector.",
             abstract = "Differential synthetic aperture radar interferometry (DInSAR) has 
                         been widely applied since the pioneering space-borne experiment in 
                         1989, and subsequently with the launch of the ERS-1 program in 
                         1992. The DInSAR technique is well assessed in the case of 
                         space-borne SAR data, whereas in the case of data acquired from 
                         aerial platforms, such as airplanes, helicopters, and drones, the 
                         effective application of this technique is still a challenging 
                         task, mainly due to the limited accuracy of the information 
                         provided by the navigation systems mounted onboard the platforms. 
                         The first airborne DInSAR results for measuring ground 
                         displacement appeared in 2003 using L- and X-bands. DInSAR 
                         displacement results with long correlation time in P-band were 
                         published in 2011. This letter presents a SAR system and, to the 
                         best of our knowledge, the first accuracy assessment of the DInSAR 
                         technique using a drone-borne SAR in L-band. A deformation map is 
                         shown, and the accuracy and resolution of the methodology are 
                         presented and discussed. In particular, we have obtained an 
                         accuracy better than 1 cm for the measurement of the observed 
                         ground displacement. It is in the same order as that achieved with 
                         space-borne systems in C- and X-bands and the airborne systems in 
                         X-band. However, compared to these systems, we use here a much 
                         longer wavelength. Moreover, compared to the satellite experiments 
                         available in the literature and aimed at assessing the accuracy of 
                         the DInSAR technique, we use only two flight tracks with low time 
                         decorrelation effects and not a big data stack, which helps in 
                         reducing the atmospheric effects.",
                  doi = "10.3390/rs12050778",
                  url = "http://dx.doi.org/10.3390/rs12050778",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-12-00778-v3.pdf",
        urlaccessdate = "13 maio 2024"
}