@Article{AlmeidaFoRoseShimSánc:2009:UsDuAL,
               author = "Almeida Filho, Raimundo and Rosenqvist, Ake and Shimabukuro, Yosio 
                         Edemir and S{\'a}nchez, G. A.",
          affiliation = "{} and European Commission, Joint Research Center, Institute for 
                         Environment and Sustainability, GEM Unit, TP 440, 21027, Ispra 
                         (VA), Italy. and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Using dual-polarized ALOS PALSAR data for detecting new fronts of 
                         deforestation in the Brazilian Amaz{\^o}nia",
              journal = "International Journal of Remote Sensing",
                 year = "2009",
               volume = "30",
               number = "14",
                pages = "3735--3743",
             keywords = "Advanced land observing satellites, Clearing process, 
                         Dual-polarized, L-band synthetic aperture radars, Mature forest, 
                         Normalized difference indices, Operational programmes, Phased 
                         array type l-band synthetic aperture radars, Primary forest, 
                         Single band, Deforestation, Image classification, Imaging systems, 
                         Photoacoustic effect, Radar, Radar antennas, Satellite 
                         observatories, Sensors, Synthetic apertures, Synthetic aperture 
                         radar, deforestation, detection method, forest ecosystem, NDVI, 
                         satellite imagery, synthetic aperture radar, Classification, 
                         Deforestation, Image Analysis, Radar, Satellites, Sensors, Brazil, 
                         South America.",
             abstract = "This study shows the use of dual-polarized L-band Synthetic 
                         Aperture Radar (SAR) data acquired by the Advanced Land Observing 
                         Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar 
                         sensor (PALSAR) system for differentiation between primary forest 
                         and new deforestation fronts. Results showed that the new 
                         deforested areas are not unequivocally detected in either of the 
                         single bands individually. Although most of the recent 
                         deforestation appears brighter than mature forests in the HH band, 
                         the identification of new deforestation using only this band 
                         depends on the stage of the clearing process. Then, the 
                         contribution of the HV band through a normalized difference index 
                         (NDI) is important for detection of the new deforested fronts. 
                         Results indicate that the method can be used as the basis for an 
                         operational programme to monitor deforestation in the Brazilian 
                         Amazonia.",
                  doi = "10.1080/01431160902777175",
                  url = "http://dx.doi.org/10.1080/01431160902777175",
                 issn = "0143-1161",
                label = "lattes: 4856245127929080 1 
                         Almeida-FoRoseShimS{\'a}nc:2009:UsDuAL",
             language = "en",
           targetfile = "439124_913092267_913389430.pdf",
        urlaccessdate = "20 maio 2024"
}