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渤海和北黄海有色溶解有机物(CDOM)的分布特征和季节变化 期刊论文
环境科学, 2018, 卷号: 40, 期号: 03, 页码: 1198-1207
作者:  刘兆冰;  梁文健;  秦礼萍;  唐建辉
浏览  |  Adobe PDF(1171Kb)  |  收藏  |  浏览/下载：534/204  |  提交时间：2020/07/08
有色溶解有机物(CDOM)  紫外-可见光吸收光谱  三维荧光光谱(EEM)  平行因子分析  分布特征  季节变化  渤海和北黄海  
多卫星降水产品在环渤海地区的精度评价 期刊论文
应用生态学报, 2016, 卷号: 27, 期号: 9, 页码: 11
作者:  李瑞泽;  姜德娟;  张华;  张安定
浏览  |  Adobe PDF(1630Kb)  |  收藏  |  浏览/下载：814/303  |  提交时间：2016/12/15
Trmm  Cmorph  Persiann  精度评价  季节差异  环渤海地区  
Virtual satellite construction and application for image classification 会议论文
35th International Symposium on Remote Sensing of Environment, ISRSE 2013, Beijing, China, April 22, 2013 - April 26, 2013
作者:  Su, W.G.(1,2,3);  Su, F.Z.(2);  Zhou, C.H.(2);  Su, F.Z. (sufz@lreis.ac.cn)
浏览  |  Adobe PDF(624Kb)  |  收藏  |  浏览/下载：731/230  |  提交时间：2015/08/10
Retrieval of Secchi disk depth in the Yellow Sea and East China Sea using 8-day MODIS data 会议论文
35th International Symposium on Remote Sensing of Environment, ISRSE 2013, Beijing, China, April 22, 2013 - April 26, 2013
作者:  Yu, D.F.(1,2);  Xing, Q.G.(1);  Lou, M.J.(1,2);  Shi, P.(1);  Xing, Q.G. (qgxing@yic.ac.cn)
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载：617/248  |  提交时间：2015/08/10
The responses of vegetation water content (EWT) along a coastal region using remote sensing 会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, CA, United states, August 18, 2014 - August 20, 2014
作者:  Gao, Zhiqiang(1,3);  Wang, Tingting(2);  Ning, Jicai(1);  Gao, Wei(3);  Gao, Zhiqiang
浏览  |  Adobe PDF(616Kb)  |  收藏  |  浏览/下载：708/259  |  提交时间：2015/08/10
Remote Sensing  Drought Monitoring  Equivalent Water Thickness  Land Surface Parameters  Remote Sensing Data  Responses  Surface Covering  Vegetation Water Content  Water Stress Indices  
Spatial discretization of distributed hydrological response units for SWAT 会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, CA, United states, August 18, 2014 - August 20, 2014
作者:  Ning, Jicai(1);  Gao, Zhiqiang(1,2);  Zhang, Wenjiang(3);  Shi, Runhe(2);  Gao, Wei(2);  Gao, Zhiqiang
浏览  |  Adobe PDF(831Kb)  |  收藏  |  浏览/下载：722/332  |  提交时间：2015/08/10
Land Use  Hydrological Properties  Hydrological Response Unit  Runoff Lags  Semi Distributed Hydrological Models  Soil And Water Assessment Tool  Spatial Discretizations  Swat  Taihu Lake Basin  
Using three-band model to retrieve chlorophyll-A of Yantai coastal waters 会议论文
Ocean Remote Sensing and Monitoring from Space, Beijing, China, October 15, 2014 - October 16, 2014
作者:  Ma, Wandong(1);  Wu, Chuanqing(1);  Yin, Shoujing(1);  Zhu, Li(1);  Wu, Di(1);  Xing, Qianguo(2)
浏览  |  Adobe PDF(426Kb)  |  收藏  |  浏览/下载：555/254  |  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  
环渤海沿海区域耕地格局及影响因子分析 期刊论文
农业工程学报, 2014, 卷号: 30, 期号: 9, 页码: 1-10
作者:  吴莉;  侯西勇;  徐新良;  侯西勇 Email:xyhou@yic.ac.cn
浏览  |  Adobe PDF(673Kb)  |  收藏  |  浏览/下载：673/274  |  提交时间：2015/07/30
土地利用  回归分析  农村地区  环渤海沿海区域  耕地  线性回归  空间自回归  地理加权回归  
Regime shifts of hydrometeorological factors in the Jiaozhou Bay and their potential ecological impacts 期刊论文
Chinese Journal of Geochemistry, 2013, 卷号: 32, 期号: 4, 页码: 436-445
作者:  Liu, Zhe(1,2);  Zhang, Jing(2);  Wei, Hao(3);  Liu, Dongyan(4);  Liu, Z. (liuzhehd@263.net)
浏览  |  Adobe PDF(819Kb)  |  收藏  |  浏览/下载：753/317  |  提交时间：2015/08/10
Regime Shift  Multiple Timescale  Ecological Impact  Jiaozhou Bay  
Assessment of desertification in the agro-pastoral transitional zone in Northern China (1982-2006) using GIMMS NDVI data 会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability X, San Diego, CA, United states, August 26, 2013 - August 29, 2013
作者:  An, Youzhi(1,2);  Gao, Wei(1,2,3);  Gao, Zhiqiang(4);  Liu, Chaoshun(1,2);  Shi, Runhe(1,2)
浏览  |  Adobe PDF(414Kb)  |  收藏  |  浏览/下载：627/285  |  提交时间：2015/08/10
Weathering  Desertification  Gimms Ndvi  Global Inventories  Non-parametric Test  Normalized Difference Vegetation Index  Rue  Vegetation Productivity  Vegetation Restoration