Processed airborne hyperspectral images and mosaics of a Paranapanema River region in Capivara reservoir, Brazil

This database is a image set of a strongest glint-affected region of inland water Capivara reservoir, Brazil. We carried out a flight survey in September 2016 on the confluence region of the Tibagi and Paranapanema Rivers. We use the hyperspectral camera manufactured by Rikola, model FPI2014, wich collect 25 spectral bands at following intervals and full widths at half maximum (FWHM), both expressed in nanometers (nm): 505.37, (9.51), 515.31 (14.05), 528.55 (14.82), 539.87 (14.03), 546.99 (14.31), 554.99 (13.26), 560.22 (12.11), 570.44 (14.31), 579.58 (13.26), 592.57 (16.57), 605.73 (14.98), 620.22 (16.26), 625.92 (15.47), 655.06 (12.55), 665.72 (15.59), 670.03 (15.74), 681.33 (15.89), 695.04 (14.96), 700.46 (15.44), 707.96 (15.32), 715.19 (15.37), 725.37 (14.72), 737.29 (14.98), 749.87 (15.08) and 780.1 (14.72). The external orientation parameters (EOP) are acquired by dual frequency GPS and adjusted with tie points computed by bundle adjustment. We perform individual georeferencing on each individual image. This dataset was processed using nine approaches to mosaicking individual georeferenced images. Three of then are new proposed methods developed by the authors. Details of processing and methodology are described on the oficial paper (currently in review process of journal). The authors thank the Graduate Program in Cartographic Sciences (PPGCC) of the School of Science and Technology (UNESP), campus Presidente Prudente, for allowing the development of this research; the National Council for Scientific and Technological Development (CNPq) and the Coordination for the Improvement of Higher Education Personnel (CAPES) for financial assistance dedicated to the project. The authors extend special thanks to the São Paulo Research Foundation (FAPESP) for financial support for the hyperspectral camera (2013/50426-4).

本数据库收录了巴西卡皮瓦拉水库内陆水域最强反光区域的一组图像。于2016年9月，我们对蒂巴吉河与帕拉纳潘马河交汇区域进行了飞行勘测。所使用的超光谱相机由里克拉公司制造，型号为FPI2014，能够收集25个光谱波段，其间隔和半最大值全宽（FWHM）均以纳米（nm）为单位，具体数值如下：505.37 (9.51), 515.31 (14.05), 528.55 (14.82), 539.87 (14.03), 546.99 (14.31), 554.99 (13.26), 560.22 (12.11), 570.44 (14.31), 579.58 (13.26), 592.57 (16.57), 605.73 (14.98), 620.22 (16.26), 625.92 (15.47), 655.06 (12.55), 665.72 (15.59), 670.03 (15.74), 681.33 (15.89), 695.04 (14.96), 700.46 (15.44), 707.96 (15.32), 715.19 (15.37), 725.37 (14.72), 737.29 (14.98), 749.87 (15.08) 和 780.1 (14.72)。外部定向参数（EOP）通过双频GPS获取，并经整体平差计算的控制点进行校正。我们对每张图像进行了单独的地理配准。本数据集通过九种方法对各自地理配准的图像进行了镶嵌处理，其中三种方法为作者新提出的方法。处理细节与方法论将在官方论文中详细描述（目前正处于期刊审稿流程中）。作者感谢圣保罗研究基金会（FAPESP）对超光谱相机项目的资金支持（2013/50426-4）；同时感谢地理科学研究生项目（PPGCC）和科学技术学院（UNESP）的总统普伦特校区允许开展本研究；以及国家科技发展委员会（CNPq）和高等教育人员能力提升协调机构（CAPES）对项目提供的资金援助。作者对圣保罗研究基金会（FAPESP）在超光谱相机（2013/50426-4）项目中的资金支持表示特别感谢。