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).

本数据库为巴西卡皮瓦拉水库（Capivara Reservoir）内陆水域强水面镜面反射区的图像数据集。本次研究于2016年9月针对蒂巴吉河（Tibagi River）与巴拉那帕内马河（Paranapanema River）的汇流区域开展航空测量。实验采用Rikola公司生产的型号为FPI2014的高光谱相机（hyperspectral camera），该相机可采集25个光谱波段，各波段的中心波长与半高全宽（full widths at half maximum, FWHM，单位均为纳米（nm））如下：505.37 nm（半高全宽9.51 nm）、515.31 nm（14.05 nm）、528.55 nm（14.82 nm）、539.87 nm（14.03 nm）、546.99 nm（14.31 nm）、554.99 nm（13.26 nm）、560.22 nm（12.11 nm）、570.44 nm（14.31 nm）、579.58 nm（13.26 nm）、592.57 nm（16.57 nm）、605.73 nm（14.98 nm）、620.22 nm（16.26 nm）、625.92 nm（15.47 nm）、655.06 nm（12.55 nm）、665.72 nm（15.59 nm）、670.03 nm（15.74 nm）、681.33 nm（15.89 nm）、695.04 nm（14.96 nm）、700.46 nm（15.44 nm）、707.96 nm（15.32 nm）、715.19 nm（15.37 nm）、725.37 nm（14.72 nm）、737.29 nm（14.98 nm）、749.87 nm（15.08 nm）及780.1 nm（14.72 nm）。外部定向参数（external orientation parameters, EOP）通过双频GPS获取，并利用光束法平差计算的连接点进行校正；本数据集对每一张单幅图像均完成了独立地理配准。本数据集共采用9种方法对已完成地理配准的单幅图像进行拼接，其中3种为本文作者提出的全新方法。相关处理流程与方法细节已刊载于目前处于期刊审稿阶段的正式学术论文中。作者感谢圣保罗州立大学（Universidade Estadual Paulista, UNESP）Presidente Prudente校区科学与技术学院的制图科学研究生培养项目（Graduate Program in Cartographic Sciences, PPGCC）为本研究开展提供的支持；感谢国家科学技术发展委员会（National Council for Scientific and Technological Development, CNPq）与高等教育人才发展协调局（Coordination for the Improvement of Higher Education Personnel, CAPES）为本项目提供的经费资助。作者特别感谢圣保罗研究基金会（São Paulo Research Foundation, FAPESP）为该高光谱相机提供的经费支持（资助编号：2013/50426-4）。