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	Editorial: Progress in Exploration, Development and Utilization of Geothermal Energy 期刊论文 OAI收割 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 4 作者: Zuo, Yinhui; Kong, Yanlong; Jiang, Shu; Shao, Haibing; Zhu, Haiyan \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/04/06 geothermal geology geothermal system conceptual model geothermal resources assessment geothermal energy hydrothermal energy enhanced geothermal system (EGS) geothermal energy exploration geothermal energy development and utilization
	Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China 期刊论文 OAI收割 ENVIRONMENTAL POLLUTION, 2022, 卷号: 300, 期号: 0, 页码: 118981 作者: Zhang, Bo; Guo, Bin; Zou, Bin; Wei, Wei; Lei, Yongzhi \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/11/07 REFLECTANCE SPECTROSCOPY ZINC CONCENTRATIONS ENHANCED ASSESSMENT AGRICULTURAL SOILS FIELD SPECTROSCOPY ORGANIC-MATTER CONTAMINATION SPECTRA LEAD POLLUTION
	eLoran系统新型数据调制/信道编码方案设计与评估期刊论文 OAI收割全球定位系统, 2020, 卷号: 45, 期号: 5, 页码: 84 作者: 李婉清; 王建辉; 李实锋; 傅其祥 \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/11/29 enhanced Loran navigation system data modulation channel coding performance assessment transmission rate 增强罗兰导航系统数据调制信道编码性能评估传输速率
	A comprehensive assessment of MODIS-derived GPP for forest ecosystems using the site-level FLUXNET database SCI/SSCI论文 OAI收割 2015 作者: Tang X. G.; Li, H. P.; Huang, N.; Li, X. Y.; Xu, X. B. 收藏 \| 浏览/下载：33/0 \| 提交时间：2015/12/09 MOD17A2 Forest ecosystem Grow primary production Assessment gross primary productivity net primary production enhanced vegetation index drought-induced reduction carbon-dioxide uptake eddy covariance data light use efficiency deciduous forest tropical forest interannual variability
	Local variance based color image quality assessment method (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 In this paper local variance is used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is enhanced by using local variance distribution. It encodes the local variance distribution of different channels of a color image into the three imaginary parts of a quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods.