• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估用于水生态应用的 8 波段 SuperDove 图像

Evaluation of eight band SuperDove imagery for aquatic applications.

出版信息

Opt Express. 2023 Apr 24;31(9):13851-13874. doi: 10.1364/OE.483418.

DOI:10.1364/OE.483418
PMID:37157262
Abstract

Planet's SuperDove constellation is evaluated for remote sensing of water targets. SuperDoves are small satellites with on board eight band PlanetScope imagers that add four new bands compared to the previous generations of Doves. The Yellow (612 nm) and Red Edge (707 nm) bands are of particular interest to aquatic applications, for example in aiding the retrieval of pigment absorption. The dark spectrum fitting (DSF) algorithm is implemented in ACOLITE for processing of SuperDove data, and its outputs are compared to matchup data collected using an autonomous pan-and-tilt hyperspectral radiometer (PANTHYR) installed in the turbid waters of the Belgian Coastal Zone (BCZ). Results for 35 matchups from 32 unique SuperDove satellites indicate on average low differences with PANTHYR observations for the first seven bands (443-707 nm), with mean absolute relative differences (MARD) 15-20%. The mean average differences (MAD) are between -0.01 and 0 for the 492-666 nm bands, i.e. DSF results show a negative bias, while the Coastal Blue (444 nm) and Red Edge (707 nm) show a small positive bias (MAD 0.004 and 0.002). The NIR band (866 nm) shows a larger positive bias (MAD 0.01), and larger relative differences (MARD 60%). Root mean squared differences (RMSD) are rather flat at around 0.01 with peaks in the bands with highest water reflectance of around 0.015. The surface reflectance products as provided by Planet (PSR) show a similar average performance to DSF, with slightly larger and mostly positive biases, except in both Green bands, where the MAD is close to 0. MARD in the two Green bands is a bit lower for PSR (9.5-10.6%) compared to DSF (9.9-13.0%). Higher scatter is found for the PSR (RMSD 0.015-0.020), with some matchups showing large, spectrally mostly flat differences, likely due to the external aerosol optical depth (τ) inputs not being representative for these particular images. Chlorophyll a absorption (a) is retrieved from PANTHYR measurements, and the PANTHYR data are used to calibrate a retrieval algorithms for SuperDove in the BCZ. Various Red band indices (RBI) and two neural networks are evaluated for a estimation. The best performing RBI algorithm, i.e. the Red band difference (RBD), showed a MARD of 34% for DSF and 25% for PSR with positive biases of 0.11 and 0.03 m respectively for 24 PANTHYR a matchups. The difference in RBD performance between DSF and PSR can be largely explained by their respective average biases in the Red and Red Edge bands, which are opposite signs for DSF (negative bias in the red), and positive for both bands for PSR. Mapping of turbid water a and hence chlorophyll a concentration (C) using SuperDove is demonstrated for coastal bloom imagery, showing how SuperDove data can supplement monitoring programmes.

摘要

对 Planet 的 SuperDove 星座进行了遥感水目标的评估。SuperDoves 是一种带有机载八波段 PlanetScope 成像仪的小型卫星,与之前几代的 Dove 相比,增加了四个新波段。黄色(612nm)和红色边缘(707nm)波段对水生应用特别感兴趣,例如在辅助色素吸收的反演中。暗光谱拟合(DSF)算法在 ACOLITE 中实现,用于处理 SuperDove 数据,其输出与在比利时沿海带(BCZ)浑浊水中安装的自主旋转和倾斜高光谱辐射计(PANTHYR)收集的匹配数据进行比较。来自 32 颗独特 SuperDove 卫星的 35 次匹配的结果表明,前七个波段(443-707nm)与 PANTHYR 观测值的平均差异较小,平均绝对相对差异(MARD)为 15-20%。对于 492-666nm 波段,平均平均差异(MAD)在-0.01 到 0 之间,即 DSF 结果显示出负偏差,而沿海蓝色(444nm)和红色边缘(707nm)显示出较小的正偏差(MAD 0.004 和 0.002)。近红外波段(866nm)显示出较大的正偏差(MAD 0.01)和较大的相对差异(MARD 60%)。均方根差异(RMSD)相当平坦,约为 0.01,在水反射率最高的波段峰值约为 0.015。Planet 提供的表面反射率产品(PSR)的平均性能与 DSF 相似,具有略大且主要为正的偏差,除了两个绿色波段外,其中 MAD 接近 0。PSR 的 MARD(9.5-10.6%)略低于 DSF(9.9-13.0%),在两个绿色波段中。PSR 的散射更高(RMSD 0.015-0.020),一些匹配显示出大的、光谱上基本平坦的差异,可能是由于外部气溶胶光学深度(τ)输入与这些特定图像不具有代表性。从 PANTHYR 测量中提取叶绿素 a 吸收(a),并使用 PANTHYR 数据在 BCZ 中校准 SuperDove 的反演算法。评估了各种红色波段指数(RBI)和两个神经网络进行估计。表现最好的 RBI 算法,即红色波段差(RBD),对于 DSF 和 PSR 的 MARD 分别为 34%和 25%,对于 24 个 PANTHYR a 匹配,正偏差分别为 0.11 和 0.03 m。DSF 和 PSR 之间 RBD 性能的差异可以很大程度上解释为它们在红色和红色边缘波段的各自平均偏差,对于 DSF 来说,这些偏差是相反的(红色的负偏差),而对于 PSR 来说,这两个波段都是正的。使用 SuperDove 对浑浊水 a 进行绘图,从而对叶绿素 a 浓度(C)进行绘图,展示了 SuperDove 数据如何补充监测计划。

相似文献

1
Evaluation of eight band SuperDove imagery for aquatic applications.评估用于水生态应用的 8 波段 SuperDove 图像
Opt Express. 2023 Apr 24;31(9):13851-13874. doi: 10.1364/OE.483418.
2
Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry.使用自主高光谱辐射测量法对米级和十米级卫星图像的暗光谱拟合大气校正进行敏感性分析。
Opt Express. 2020 Sep 28;28(20):29948-29965. doi: 10.1364/OE.397456.
3
Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll- and turbidity algorithms.通过对齐叶绿素和浊度算法,利用高分辨率和中分辨率哨兵传感器进行补充水质观测。
Remote Sens Environ. 2021 Nov;265:112651. doi: 10.1016/j.rse.2021.112651.
4
Daily metre-scale mapping of water turbidity using CubeSat imagery.利用立方星图像进行每日米级水体浊度测绘。
Opt Express. 2019 Sep 30;27(20):A1372-A1399. doi: 10.1364/OE.27.0A1372.
5
Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning.利用高分辨率卫星图像和机器学习改进草地生物量建模。
J Environ Manage. 2024 Apr;356:120564. doi: 10.1016/j.jenvman.2024.120564. Epub 2024 Mar 12.
6
Estimation of chlorophyll a content in inland turbidity waters using WorldView-2 imagery: a case study of the Guanting Reservoir, Beijing, China.利用 WorldView-2 影像估算内陆混浊水体中的叶绿素 a 含量:以中国北京官厅水库为例。
Environ Monit Assess. 2018 Sep 29;190(10):620. doi: 10.1007/s10661-018-6978-7.
7
UV-NIR approach with non-zero water-leaving radiance approximation for atmospheric correction of satellite imagery in inland and coastal zones.采用非零离水辐亮度近似值的紫外-近红外方法用于内陆和沿海地区卫星图像的大气校正。
Opt Express. 2019 Aug 5;27(16):A1118-A1145. doi: 10.1364/OE.27.0A1118.
8
Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands.利用红光和近红外波段对沿海和内陆水域叶绿素-a进行遥感估算的算法。
Opt Express. 2010 Nov 8;18(23):24109-25. doi: 10.1364/OE.18.024109.
9
An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters.一种用于在湖泊和沿海水域中从生物光学算法中选择和混合反演数据的光学水类型框架。
Remote Sens Environ. 2014 Mar 5;143:97-111. doi: 10.1016/j.rse.2013.11.021.
10
Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations.基于红光和近红外波段的沿海及内陆水域大气校正算法:在陆地卫星8号/陆地成像仪和越南资源卫星1号/越南海洋水色监测仪观测中的应用
Opt Express. 2019 Oct 28;27(22):31676-31697. doi: 10.1364/OE.27.031676.

引用本文的文献

1
Impacts of the 2023 Marine Heatwave in the Florida Keys: Detection and Analysis of a Mass Coral Bleaching Event Using Spaceborne Remote Sensing Imagery.2023年佛罗里达群岛海洋热浪的影响:利用星载遥感影像对大规模珊瑚白化事件的检测与分析
Environ Sci Technol. 2025 Jul 29;59(29):15227-15235. doi: 10.1021/acs.est.5c03122. Epub 2025 Jul 21.
2
High-resolution ocean color imagery from the SeaHawk-HawkEye CubeSat mission.来自海鹰-鹰眼立方星任务的高分辨率海洋颜色图像。
Sci Data. 2024 Nov 18;11(1):1246. doi: 10.1038/s41597-024-04076-4.