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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：遥感与数字地球研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China 期刊论文 Ecological Indicators, 2016, 卷号: 60, 页码: 503-513 作者:  Luo, Juhua;  Li, Xinchuan;  Ma, Ronghua;  Li, Fei;  Duan, Hongtao 收藏  |  浏览/下载：17/0  |  提交时间：2017/04/24 LAND-SURFACE TEMPERATURE  METRICS  PATTERN  CONFIGURATION  INDICATORS  IMPACTS  ECOLOGY   Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China 期刊论文 WATER SA, 2015, 卷号: 41, 期号: 5, 页码: 24002-24025 作者:  Xiang, Bo;  Song, Jing-Wei;  Wang, Xin-Yuan;  Zhen, Jing 收藏  |  浏览/下载：12/0  |  提交时间：2016/04/20 data driven  trophic level index  MODIS  artificial neural network  inland lake   Method of monitoring surface water quality based on remote sensing in Miyun reservoir 会议论文 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, Vols 1-11, New York Zhang, Xiwang; Qin, Fen; Liu, Jianfeng 收藏  |  浏览/下载：16/0  |  提交时间：2014/12/07 Remote sensing  Landsat 7 ETM+  Water quality  Eutrophication  THEMATIC MAPPER DATA  COASTAL WATERS  CHLOROPHYLL   Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文 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：18/0  |  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.   The evaluation of water eutrophication using spectrum reflectance at Taihu Lake 会议论文 Igarss 2004: Ieee International Geoscience and Remote Sensing Symposium Proceedings, Vols 1-7: Science for Society: Exploring and Managing a Changing Planet, New York Xiao, Q; Wen, JG; Liu, QH; Ye, QH; Li, J 收藏  |  浏览/下载：5/0  |  提交时间：2014/12/07 INLAND WATERS  QUALITY