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    题名 作者 年代 出处 被引量
1Water balance estimates of ten greatest lakes in China using ICESat and Landsat data显示文摘湖水平和区域变化对地区性的气候变化敏感并且能被用来间接地估计湖的水平衡。在这研究,在中国的 10 个最大的湖, 1000 km2 或更大,被检验在从在 2003 和 2009 之间记录的 ICESat 和 Landsat 数据分别地导出的湖水平和区域决定变化。湖水平和在西藏的高原( TP )和在东北中国的克辛凯·莱克的 Selin 公司, Nam 公司,和金海·莱克的区域的时间系列展出一个增加的趋势与在湖水平( 0.69 m/a )显示出最快的上升的 Selin 公司,区域( 32.59 km2/a ),和在 10 之中的体积( 1.25 km3/a )检验了湖。在北中国的干旱、半干旱的区域的 Bosten 和 Hulun 湖在湖水平和区域显示出衰落,与显示出在湖水平(0.43 m/a ) 和显示出最大的区域收缩(35.56 km2/a ) 的胡伦·莱克的最大的减少的博斯顿·莱克一起。然而,没有任何明显的趋势,在长江盆的中间降低活动范围的 Dongting, Poyang, Taihu,和 Hongze 湖介绍季节的可变性。湖水平和区域为 Selin 公司, Nam 公司, Qinghai, Poyang, Hulun,和 Bosten 湖显示出强壮的关联(R 2 > 0.80 ) 并且为 Taihu, Hongze,和 Xingkai 湖和为东方东廷·莱克(0.37 ) 的弱关联(0.70 ) 。湖水平变化和水体积变化在为所有湖的很好的同意(R 2 > 0.98 ) 。10 个湖的水平衡根据湖水平和区域变化被导出,与分别地显示出 9.08, 4.07, 2.88,和 1.09 km3 的积极的水预算的 Selin 公司, Nam 公司, Qinghai,和 Xingkai 湖。分别地, Bosten 和 Hulun 湖显示出 3.01 和 4.73 km3 的否定预算,沿着长江的四个湖不显示出明显的变化。对在这四个湖的湖水平和区域变化的可能的解释也被讨论。这研究建议遥感能为估计湖水平衡作为一个快、有效的工具服务的那颗卫星。ZHANG GuoQing XIE HongJie YAO TanDong KANG ShiChang 2013Chinese Science Bulletin2013,58,31:25
2Urban growth models: progress and perspective显示文摘城市的生长模型被开发了并且广泛地采用了在周围的环境上学习城市的扩大和它的影响。这些模特儿能在发展情形的城市的决策或分析被雇用。在这份报纸,我们提供城市的生长模型的系统的评论,包括城市的模型和联系理论和不同模型和他们的应用程序的普通框架的进化。城市的生长的三个典型的班也就是,为陆地使用 / 交通模型,细胞的自动机(CA ) 模型和基于代理人的模型建模,被介绍。他们的关系被解释,就他们的建模机制,数据要求和应用程序规模而言。基于广泛地利用的城市的 CA 模型,我们为改进建议了四个观点包括基本空间单位的调整,时间的上下文,支持模型比较的公共平台,和情形的加入分析。新机会(例如,开的社会数据和综合评价当模特儿) 出现了帮助模型开发和申请。Xuecao Li P. Gong 2016Science Bulletin2016,61,21:15
3Improving the quantification of waterfowl migration with remote sensing and bird tracking显示文摘Accurately quantifying waterfowl migration patterns is pertinent to monitor ecosystem health and control bird-borne infectious diseases. In this review, we summarize the current understanding of the environmental mechanisms that drive waterfowl migration and then investigate the effect of intra- and inter-annual change in food supply and temperature(e.g., climate change) on their migration patterns. Recent advances in remote sensing and animal tracking techniques make it possible to monitor these environmental factors over a wide range of scales and record bird movements in detail. The synergy of these techniques will facilitate substantial progress in our understanding of the environmental drivers of bird migration. We identify prospects for future studies to test existing hypotheses and develop models integrating up-todate knowledge, high-resolution remote sensing data and high-accuracy bird tracking data. This will allow us to predict when waterfowl will be where, in response to shortand long-term global environmental change.Yali Si Qinchuan Xin Herbert H.T.Prins Willem F.de Boer Peng Gong 2015Science Bulletin2015,60,23:6
4Research on global change scientific satellites显示文摘Global change now poses a severe threat to the survival and development of mankind.Large-scale,real-time,highly accurate Earth observation from space has become a key technology used to observe global change.China is one of the most influential countries affecting and being affected by global change,yet it has no scientific satellite for global change research so far.Developing global change scientific satellites not only would meet an important demand of China,but also would be a valuable contribution to the world.By analyzing the mechanisms of space-based observation of variables sensitive to global change,this paper explores the concept of global change scientific satellites,and proposes a series of global change scientific satellites to establish a scientific observation system for global environmental change monitoring from space.GUO HuaDong FU WenXue LI XinWu CHEN Pei LIU Guang LI Zhen WANG Cheng DONG Qing LEI LiPing BAI LinYan LIU QingJie 2014Science China Earth Sciences2014,57,2:5
5A 30 meter land cover mapping of China with an efficient clustering algorithm CBEST显示文摘Remote sensing based land cover mapping at large scale is time consuming when using either supervised or unsupervised classification approaches. This article used a fast clustering method—Clustering by Eigen Space Transformation(CBEST) to produce a land cover map for China. Firstly, 508 Landsat TM scenes were collected and processed. Then, TM images were clustered by combining CBEST and K-means in each pre-defined ecological zone(50 in total for China). Finally, the obtained clusters were visually interpreted as land cover types to complete a land cover map. Accuracy evaluation using 2159 test samples indicates an overall accuracy of 71.7% and a Kappa coefficient of 0.64. Comparisons with two global land cover products(i.e., Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) and GlobCover 2009) also indicate that our land cover result using CBEST is superior in both land cover area estimation and visual effect for different land cover types.HU LuanYun CHEN YanLei XU Yue ZHAO YuanYuan YU Le WANG Jie GONG Peng 2014Science China Earth Sciences2014,57,10:4
6Advances in Ecological Applications of Fengyun Satellite Data显示文摘In recent years,the remote sensing based on meteorological satellite observations has become an important tool for assessing global ecological conditions.Since the early 2000,Fengyun(FY)satellite data have been widely used to derive the key parameters of ecological environment in China.An integrated earth-observation system has been developed in China through using FY satellite data,including retrievals the key ecological parameters as well as to constructions of long-term data records of vegetation index,land surface temperature,net primary production,vegetation health index,and so on.Considerable progress has thus been made in the application and service for prevention of air pollution,management and control of ecological redline,ecological monitoring for the Belt and Road Initiative,and assessment of ecological environment for human settlement.In order to monitor the ecological parameters in real time and with a full dynamic coverage,it is necessary to improve the technology in application of ecological remote sensing from meteorological satellites,and further enhance the ecological meteorological service.Xiuzhen HAN Hao GAO Jun YANG Yachun LI Weicheng GENG 2021Journal of Meteorological Research2021,35,5:1
7Satellite-observed significant improvement in nearshore transparency of the Bohai Sea during pollution control显示文摘The Bohai Sea(BS)is the unique semi-closed inland sea of China,characterized by degraded water quality due to significant terrestrial pollution input.In order to improve its water quality,a dedicated action named“Uphill Battles for Integrated Bohai Sea Management”(UBIBSM,2018–2020)was implemented by the Chinese government.To evaluate the action effectiveness toward water quality improvement,variability of the satelliteobserved water transparency(Secchi disk depth,Z_(SD))was explored,with special emphasis on the nearshore waters(within 20 km from the coastline)prone to terrestrial influence.(1)Compared to the status before the action began(2011–2017),majority(87.3%)of the nearshore waters turned clear during the action implementation period(2018–2020),characterized by the elevated Z_(SD)by 11.6%±12.1%.(2)Nevertheless,the improvement was not spatially uniform,with higher Z_(SD)improvement in provinces of Hebei,Liaoning,and Shandong(13.2%±16.5%,13.2%±11.6%,10.8%±10.2%,respectively)followed by Tianjin(6.2%±4.7%).(3)Bayesian trend analysis found the abrupt Z_(SD)improvement in April 2018,which coincided with the initiation of UBIBSM,implying the water quality response to pollution control.More importantly,the independent statistics of land-based pollutant discharge also indicated that the significant reduction of terrestrial pollutant input during the UBIBSM action was the main driver of observed Z_(SD)improvement.(4)Compared with previous pollution control actions in the BS,UBIBSM was found to be the most successful one during the past 20 years,in terms of transparency improvement over nearshore waters.The presented results proved the UBIBSM-achieved remarkable water quality improvement,taking the advantage of long-term consistent and objective data record from satellite ocean color observation.Xuyan Li Jinzhao Xiang Liudi Zhu Zhibin Yang Ting Wei Bing Mu Xiaobo Zhang Tingwei Cui 2023Acta Oceanologica Sinica2023,42,12:0
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