Baltic Sea shipborne Hyperspectral Reflectance data from 2016

Hyperspectral Remote-sensing reflectance data collected by the Finnish Environment Institute (SYKE) within the BONUS FerryScope project, analysed (quality checks and spectral filtering) at the Plymouth Marine Laboratory. Methods initially described in:

The data were collected from merchant vessels Finnmaid  (Finnlines) and Transpaper (Transatlantic). This data set is limited to records for the year 2016. 

Field data collection and processing:

Simis, S.G.H., & Olsson, J. (2013). Unattended processing of shipborne hyperspectral reflectance measurements. Remote Sensing of Environment, 135, 202–212

Data quality control: 

Qin, P., Simis, S.G.H., & Tilstone, G.H. (2017). Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC. Remote Sensing of Environment, 200, 263-280

Data specification

lat, lon  - geographical latitude/longitude coordinates in decimal degrees

time  -  timestamp (date+time) in UTC following ISO 8601 notation. 

(The location and time fields correspond to the start of a measurement)

Rrs_001_3233 .... Rrs_193_9536 - Remote-sensing reflectance (Rrs, units 1/sr). The sequential numbering (1-193) denotes band number, the last term is wavelength x 10 in nm. For example Rrs_001_3233 is the 1st band centred at 323.3 nm. The wavebands approximate the native resolution of the 3-sensor system (TriOS Ramses ARC + ACC units) used to collect radiance and irradiance spectra of the sea surface and sky. 

Contributions:

Stefan Simis, Jenni Attila, Mikko Kervinen, Kari Kallio, Sampsa Koponen, Sakari Väkevä maintained the in situ system.

Stefan Simis developed the code to process the (ir)radiance data to Remote-sensing reflectance.

Mikko Kervinen and Stefan Simis maintained the operational processing system

Ping Qin analysed multi-year observation records and developed quality-control filters

Silvia Pardo and Gavin Tilstone analysed the data against satellite sensor records.

本数据集为芬兰环境研究所（Finnish Environment Institute, SYKE）在BONUS FerryScope项目框架下采集的高光谱遥感反射率数据（hyperspectral remote-sensing reflectance data），经普利茅斯海洋实验室（Plymouth Marine Laboratory）完成质量检查与光谱滤波等分析工作。相关分析方法最初发表于以下文献：

数据采集自芬恩航线（Finnlines）旗下商船Finnmaid与Transatlantic航运公司旗下商船Transpaper，且本数据集仅包含2016年的观测记录。

野外数据采集与处理：
Simis, S.G.H. 与 Olsson, J. (2013). 船载高光谱反射率测量的无人值守处理. 《环境遥感（Remote Sensing of Environment）》, 135卷, 第202–212页。

数据质量控制：
Qin, P., Simis, S.G.H. 与 Tilstone, G.H. (2017). 基于船舶与AERONET-OC（海洋气溶胶自动观测网络）连续观测的波罗的海MERIS（中分辨率成像光谱仪）大气校正辐射验证. 《环境遥感（Remote Sensing of Environment）》, 200卷, 第263–280页。

数据规格说明：
lat、lon：以十进制度为单位的地理纬度与经度坐标。

time：遵循ISO 8601标准的UTC时间戳（包含日期与时刻）。注：位置与时间字段对应单次测量的起始时刻。

Rrs_001_3233 至 Rrs_193_9536：遥感反射率（Remote-sensing reflectance, Rrs，单位：1/球面度（sr））。波段编号采用连续序号（1至193），后缀数字为波长（以纳米为单位）乘以10的结果。例如，Rrs_001_3233对应中心波长323.3 nm的第1波段。本次数据采集使用TriOS Ramses ARC与ACC单元组成的三传感器系统，本数据集的波段覆盖范围与该系统的原生光谱分辨率近似，涵盖海表与天空的辐射度、辐照度光谱。

贡献者：
Stefan Simis、Jenni Attila、Mikko Kervinen、Kari Kallio、Sampsa Koponen、Sakari Väkevä：负责原位监测系统的运维维护。
Stefan Simis：开发了将辐照度与辐亮度数据处理为遥感反射率的代码。
Mikko Kervinen 与 Stefan Simis：负责运维数据处理系统。
Ping Qin（秦平）：对多年观测记录开展分析，并开发了质量控制滤波算法。
Silvia Pardo 与 Gavin Tilstone：结合卫星传感器观测记录对本数据集开展分析验证。