机构

• 广州地球化学研究所 [1]
• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2023 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2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 Identification and verification of PCDD/Fs indicators from four typical large-scale municipal solid waste incinerations with large sample size in China 期刊论文  OAI收割 WASTE MANAGEMENT, 2023, 卷号: 172, 页码: 101-107 作者:  Liu, Lijun;  Chen, Xichao;  Yin, Wenhua;  Wu, Hao;  Huang, Junbin   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/09/14 MSWI  Emissions  Indicator  Traditional statistical method  Machine learning method   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.