机构

• 遥感与数字地球研究所 [1]
• 植物研究所 [1]
• 烟台海岸带研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2018 [1]
• 2014 [1]
• 2008 [1]

学科主题

• Biochemist... [1]
• Pharmacolo... [1]

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A new method for fast extraction and determination of chlorophylls in natural water 期刊论文  OAI收割 ZEITSCHRIFT FUR NATURFORSCHUNG SECTION C-A JOURNAL OF BIOSCIENCES, 2018, 卷号: 73, 期号: 1-2, 页码: 77-86 作者:  Qiu, Nianwei;  Wang, Xiushun;  Zhou, Feng   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/02/25 acetone  chlorophyll determination  dimethyl sulfoxide (DMSO)  high-speed refrigerated centrifugation (HSRC)  water sample   Using three-band model to retrieve chlorophyll-A of Yantai coastal waters 会议论文  OAI收割 Ocean Remote Sensing and Monitoring from Space, Beijing, China, October 15, 2014 - October 16, 2014 Ma, Wandong(1); Wu, Chuanqing(1); Yin, Shoujing(1); Zhu, Li(1); Wu, Di(1); Xing, Qianguo(2) 收藏  |  浏览/下载：64/0  |  提交时间：2015/08/10 Remote sensing  Accurate estimation  Band model  Chlorophyll a  Chlorophyll-a concentration  Coastal waters  Determination coefficients  Linear relationships  Medium resolution imaging spectrometers   Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文  OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏  |  浏览/下载：33/0  |  提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval  this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly  a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result  the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92  comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.