@InProceedings{SoriaFanKasScaBal:2013:AnMuIm,
               author = "Soria, Federico Jos{\'e} and Fandos, Carmina del Valle and 
                         Kasiaņuk, Roxana Lorena and Scandaliaris, Pablo and Baldres, 
                         Javier Ignacio Carreras",
                title = "An{\'a}lisis multitemporal de im{\'a}genes SAR Cosmo-Skymed 
                         (CSK) para identificar la respuesta espectral del cultivo de caņa 
                         de az{\'u}car durante el periodo de cosecha, en la provincia de 
                         Tucum{\'a}n, Rep{\'u}blica Argentina",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "8413--8420",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Technicians of the Obispo Colombres Agroindustrial Experimental 
                         Station (EEAOC), in Tucum{\'a}n province (Argentina), work on 
                         optical satellite images to estimate sugarcane planted area and 
                         production. Naturally, problems arise when days are cloudy. SAR 
                         (Synthetic Aperture Radar) sensors present the advantage of 
                         enabling image recording even through clouds, mist, fog, and the 
                         dark. EEAOC takes part in AO-SAOCOM of CONAE (National Commission 
                         on Space Activities), specifically with Project Nš 38, which is 
                         devoted to analyzing the potential of different SAR sensors for 
                         discriminating agricultural and rural-urban areas. This work aimed 
                         to evaluate the spectral response of sugarcane in the harvested 
                         period in six COSMO SKYMED (CSK) (\λ \3 cm) images, 
                         five in HH-polarized and one VV-polarized, in Tucum{\'a}n 
                         province using Lansat 5TM images as referents. Covers 
                         discriminated by the optical images were identified in the CSK 
                         image. Then, backscattering coefficient values (\0) 
                         corresponding to each cover, expressed as decibels, were extracted 
                         and used to calculate the mean and standard deviation, which 
                         allowed graphical comparison. For each image, \0 mean 
                         values were within a narrow range, which was smaller than 2.5dB, 
                         while standard deviation varied from 2.4 to 2.7 dB in all covers 
                         on different dates. This situation would make it difficult to 
                         discriminate covers related to different sugarcane harvest stages. 
                         Subsequent research work will be focused on studying the use of 
                         different processing methods in the analysis of the set of 
                         available images to improve results.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "202",
             language = "es",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GBLT",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GBLT",
           targetfile = "p0202.pdf",
                 type = "Radar: Pesquisa, Desenvolvimento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "02 maio 2024"
}