@InProceedings{QinXTDDLLSAWM:2023:AnFoEv,
               author = "Qin, Yuanwei and Xiao, xiangming and Tang, Hao and Dubayah, Ralph 
                         and Doughty, Russell and Liu, Diyou and Liu, Fang and Shimabukuro, 
                         Yosio Edemir and Arai, Egidio and Wang, Xinxin and Moore, 
                         Berrien",
          affiliation = "{University of Oklahoma Norman Campus} and {University of 
                         Oklahoma} and {National University of Singapore} and {University 
                         of Maryland College Park} and {California Institute of Technology} 
                         and {China Agricultural University(CAU)} and {University of 
                         Oklahoma} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Fudan 
                         University} and {University of Oklahoma}",
                title = "Annual Forest and Evergreen Forest Cover Mapping and Assessment in 
                         the Brazilian Amazon",
            booktitle = "Proceedings...",
                 year = "2023",
         organization = "AGU FAll Meeting",
            publisher = "AGU",
             abstract = "Many forest cover maps have been generated by using optical and/or 
                         microwave images, but these forest cover maps have large area and 
                         spatial discrepancies. To date, few studies have assessed forest 
                         cover maps in terms of two biophysical parameters used in forest 
                         definition: (1) canopy height and (2) canopy coverage. We 
                         generated annual forest cover maps from 2007 to 2010 and evergreen 
                         forest cover maps from 2000 to 2021 in the Brazilian Amazon using 
                         the images from the Phased Array type L-band Synthetic Aperture 
                         Radar and the time series images from the Moderate Resolution 
                         Imaging Spectroradiometer, using the forest definition of the Food 
                         and Agriculture Organization (FAO) of the United Nations (> 5-m 
                         tree height and > 10% canopy coverage) as the reference. We used 
                         the canopy height and canopy coverage datasets from the Geoscience 
                         Laser Altimeter System during 2003-2007 to assess annual forest 
                         cover maps from 2007 to 2010 and annual evergreen forest cover 
                         maps from 2003 to 2007, and the results show high accuracy of 
                         these forest cover and evergreen forest cover maps in the 
                         Brazilian Amazon. These annual forest cover maps and annual 
                         evergreen forest cover maps provide data support for the analyses 
                         of the causes, process, and consequences of forest cover changes 
                         in the Brazilian Amazon.",
  conference-location = "San Francisco, CA",
      conference-year = "11-15 Dec. 2023",
             language = "en",
        urlaccessdate = "03 maio 2024"
}