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| 1 | Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s显示文摘Land-use/land-cover 变化(LUCC ) 有连接到人和自然相互作用。瓷器 Land-Use/cover 数据集(CLUD ) 从 1980 年代末在 5 年的间隔定期被更新到 2010,与基于 Landsat TMETM+ 图象的标准过程。陆地使用动态区域化方法被建议分析主要陆地使用变换。在国家规模的陆地使用变化的空间与时间的特征,差别,和原因然后被检验。主要调查结果如下被总结。越过中国的陆地使用变化(LUC ) 在最后 20 年(19902010 ) 里在空间、时间的特征显示了一个重要变化。农田变化的区域在南方减少了并且在北方,而是仍然是的全部的区域增加了几乎未改变。回收农田从东北被转移到西北。布满建筑物陆地很快膨胀了,主要在东方被散布,并且逐渐地展开到中央、西方的中国。树林首先减少了,然后增加但是荒芜的区域是反面。草地继续减少。在中国的 LUC 的不同空间模式被发现在之间迟了第 20 世纪并且早第 21 世纪。原版 13 个 LUC 地区在一些地区被边界的变化由 15 个单位代替。包括的这些变化(1 ) 的主要空间特征加速的扩大布满建筑物在 Huang-Huai-Hai 区域,东南的沿海的区域,长江的中流区域,和四川盆登陆;(2 ) 从东北中国和东方内部蒙古在北方转移了陆地开垦到绿洲在西北中国的农业区域;(3 ) 从在到稻的东北中国的喂雨的农田的连续转变回答;并且(4 ) 为在内部蒙古,黄土高原,和西南的多山的区域的南部的农业牧剧的交错群落的格林工程的谷物的有效性。在最后二十年,尽管在北方的气候变化在农田影响了变化,政策规定和经济驱动力仍然是越过中国的 LUC 的主要原因。在第 21 世纪的第一十年期间,在陆地使用模式驾驶了变化的人为的因素从单程的陆地开发转移了强调到开发和保存。动态区域化方法被用来在单位的 zoning 边界,地区的内部特征,和生长和减少的空间模式分析变化。结果揭示了变化过程的模式,也就是 LUC 的过程和在在不同阶段的特征的地区性的差别。地区的生长和减少在这动态 LUC zoning,在统一边界的变化,和在前者和后者十年之间的变化紧张的特征期间被检验。在为在不同类型和陆地使用的不同区域的变化的陆地使用和原因的模式和过程之间的其他的转变的模式被探索。 | LIU Jiyuan KUANG Wenhui ZHANG Zengxiang XU Xinliang QIN Yuanwei NING Jia ZHOU Wancun ZHANG Shuwen LI Rendong YAN Changzhe WU Shixin SHI Xuezheng JIANG Nan YU Dongsheng PAN Xianzhang CHI Wenfeng | 2014 | Journal of Geographical Sciences2014，24，2： | 245 |
| 2 | Impacts of ecological restoration projects on agricultural productivity in China显示文摘在农田数量和质量的变化由于陆地使用是国家食物安全的批评担心,特别地为中国。尽管有重要生态的效果,生态的恢复节目(ERP ) ,从 1999 开始了,显然改变了瓷器农田和农业生产率的空间模式。从 2000 ~ 2008 把动态数据基于农田首先与主要生产率建模的 30-m 分辨率和基于卫星的网源于卫星图象,我们在 ERP 引起的农业生产率上识别了影响,包括为格林的谷物,节目(GFGP ) 和到湖(RCTL ) 的回收农田编程序。我们的结果显示农业生产率与 132.67lis 的率输了。在 R 的射击的 Pb 的累积。pseudoacacia 比另外的种类显著地高。在学习区域的土壤的 Pb 的数量是 s 吗?? | QIN Yuanwei YAN Huimin LIU Jiyuan DONG Jinwei CHEN Jingqing XIAO Xiangming | 2013 | Journal of Geographical Sciences2013，23，3： | 8 |
| 3 | Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China显示文摘稻米饭分发的信息为食物生产和甲烷排放计算是必要的。基于物候学的算法在由识别唯一的泛滥印射稻稻田被利用了,移植的幼苗用多时间的中等分辨率(到 1 km 的 500 m ) 分阶段执行图象。在这研究,我们开发了简单算法用多时间的 Landsat 形象在地区性的规模在好分辨率识别稻米饭。从 2010-2012 的十六幅 Landsat 图象被用来在 Sanjiang 平原产生 30 m 稻米饭地图,在中国的主要的稻米饭耕作区域的东北 Chinaone。三个植被索引,规范的差别植被索引(NDVI ) ,提高的植被索引(EVI ) ,和陆地表面浇索引(LSWI ) ,被用来在充满 / 移植并且成熟的阶段期间识别稻田。结果的基于 Landsat 的稻米饭地图上的稻米饭的用户和制片人精确性分别地是 90% 和 94% 。基于 Landsat 的稻米饭地图是在国家陆地盖子数据集上的稻米饭层上的改进,它在好决定的图象上通过视觉解释和数字化被产生。农业普查数据实质地少报稻米饭区域,关于它为食物上的研究的使用的涨的严肃的担心安全。 | Cui JIN Xiangming XIAO Jinwei DONG Yuanwei QIN Zongming WANG | 2016 | Frontiers of Earth Science2016，10，1： | 5 |
| 4 | Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations显示文摘Recently,water extraction based on the indices method has been documented in many studies using various remote sensing data sources.Among them,Landsat satellites data have certain advantages in spatial resolution and cost.After the successful launch of Landsat 8,the Operational Land Imager(OLI)data from the satellite are getting more and more attention because of its new improvements.In this study,we used the OLI imagery data source to study the water extraction performance based on the Normalized Difference Vegetation Index,Normalized Difference Water Index,Modified Normalized Water Index(MNDWI),and Automated Water Extraction Index(AWEI)and compared the results with the Thematic Mapper(TM)imagery data.Two test sites in Tianjin City of north China were selected as the study area to verify the applicability of OLI data and demonstrate its advantages over TM data.We found that the results of surface water extraction based on OLI data are slightly better than that based on TM in the two test sites,especially in the city site.The AWEI and MNDWI indices performs better than the other two indices,and the thresholds of water indices show more stability when using the OLI data.So,it is suitable to combine OLI imagery with other Landsat sensor data to study water changes for long periods of time. | Ke ZHAI Xiaoqing WU Yuanwei QIN Peipei DU | 2015 | Geo-Spatial Information Science2015，18，1： | 2 |
| 5 | Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8(OLI), Landsat 7(ETM +)and MODIS imagery显示文摘 | Qin Yuanwei Xiao Xiangming Dong Jinwei | 2015 | ISPRS Journal of Photogrammetry and Remote Sensing2015，105，： | 1 |
| 6 | Continued Increases of Gross Primary Production in Urban Areas during 2000-2016显示文摘Urbanization affects vegetation within city administrative boundary and nearby rural areas.Gross primary production(GPP)of vegetation in global urban areas is one of important metrics for assessing the impacts of urbanization on terrestrial ecosystems.To date,very limited data and information on the spatial-temporal dynamics of GPP in the global urban areas are available.In this study,we reported the spatial distribution and temporal dynamics of annual GPP during 2000–2016 from 8,182 gridcells(0.5°by 0.5°latitude and longitude)that have various proportion of urban areas.Approximately 79.3%of these urban gridcells had increasing trends of annual GPP during 2000-2016.As urban area proportion(%)within individual urban gridcells increased,the means of annual GPP trends also increased.Our results suggested that for those urban gridcells,the negative effect of urban expansion(often measured by impervious surfaces)on GPP was to large degree compensated by increased vegetation within the gridcells,mostly driven by urban management and local climate and environment.Our findings on the continued increases of annual GPP in most of urban gridcells shed new insight on the importance of urban areas on terrestrial carbon cycle and the potential of urban management and local climate and environment on improving vegetation in urban areas. | Yaoping Cui Xiangming Xiao Jinwei Dong Yao Zhang Yuanwei Qin Russell BDoughty Xiaocui Wu Xiaoyan Liu Joanna Joiner Berrien Moore III | 2022 | Journal of Remote Sensing2022，，1： | 0 |
| 7 | Near-infrared emissive AIE nanoparticles for biomedical applications:From the perspective of different nanocarriers显示文摘Fluorescent imaging based on near-infrared(NIR)fluorophores has revolutionized the techniques employed for detecting biological events in depth owing to their advantages referring to diminished photon scattering,high signal-to-noise ratio and better light transparence through tissue.As for conventional luminogens,the nanofabrication of those innately hydrophobicπ-conjugated architectures into water-dispersible nanoparticles(NPs)may result in attenuated fluorescent intensity deriving from the detrimental distribution ofπ-πinteractions in the confined space.Oppositely,chromophores possessing aggregation-induced emission(AIE)characteristics emit boosted brightness at aggregate level according to the mechanism of restriction of intramolecular motion(RIM).In this review,we summarize the recent progresses of NIR emissive AIE NPs for multifarious biomedical applications from the viewpoint of different fabricated manners,mainly covering self-assembly and matrices assisted approaches.Furthermore,the current challenges and future research directions of NIR AIE NPs are briefly discussed. | Dingyuan Yan Yi Qin Saisai Yan Panpan Sun Yuanwei Wang Dong Wang Ben Zhong Tang | 2023 | Particuology2023，，3： | 0 |
| 8 | Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition显示文摘The Australian governmental agencies reported a total of 149 million ha forest in the Food and Agriculture Organization of the United Nations(FAO)in 2010,ranking sixth in the world,which is based on a forest definition with tree height>2 meters.Here,we report a new forest cover data product that used the FAO forest definition(tree cover>10%and tree height>5 meters at observation time or mature)and was derived from microwave(Phased Array type L-band Synthetic Aperture Radar,PALSAR)and optical(Moderate Resolution Imaging Spectroradiometer,MODIS)images and validated with very high spatial resolution images,Light Detection and Ranging(LiDAR)data from the Ice,Cloud,and land Elevation Satellite(ICESat),and in situ field survey sites.The new PALSAR/MODIS forest map estimates 32 million ha of forest in 2010 over Australia.PALSAR/MODIS forest map has an overall accuracy of~95%based on the reference data derived from visual interpretation of very high spatial resolution images for forest and nonforest cover types.Compared with the canopy height and canopy coverage data derived from ICESat LiDAR strips,PALSAR/MODIS forest map has 73%of forest pixels meeting the FAO forest definition,much higher than the other four widely used forest maps(ranging from 36%to 52%).PALSAR/MODIS forest map also has a reasonable spatial consistency with the forest map from the National Vegetation Information System.This new annual map of forests in Australia could support cross-country comparison when using data from the FAO Forest Resource Assessment Reports. | Yuanwei Qin Xiangming Xiao Jean-Pierre Wigneron Philippe Ciais Josep G.Canadell Martin Brandt Xiaojun Li Lei Fan Xiaocui Wu Hao Tang Ralph Dubayah Russell Doughty Qing Chang Sean Crowell Bo Zheng Kevin Neal Jorge A.Celis Berrien MooreⅢ | 2021 | Journal of Remote Sensing2021，，1： | 0 |
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