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| 1 | Progresses on microwave remote sensing of land surface parameters显示文摘Highly accurate observations at various scales on the land surface are urgently needed for the studies of many areas,such as hydrology,meteorology,and agriculture.With the rapid development of remote sensing techniques,remote sensing has had the capacity of monitoring many factors of the Earth's land surface.Especially,the space-borne microwave remote sensing systems have been widely used in the quantitative monitoring of global snow,soil moisture,and vegetation parameters with their all-weather,all-time observation capabilities and their sensitivities to the characteristics of land surface factors.Based on the electromagnetic theories and microwave radiative transfer equations,researchers have achieved great successes in the microwave remote sensing studies for different sensors in recent years.This article has systematically reviewed the progresses on five research areas including microwave theoretical modeling,microwave inversion on soil moisture,snow,vegetation and land surface temperatures.Through the further enrichment of remote sensing datasets and the development of remote sensing theories and inversion techniques,remote sensing including microwave remote sensing will play a more important role in the studies and applications of the Earth systems. | SHI JianCheng DU Yang DU JinYang JIANG LingMei CHAI LinNa MAO KeBiao XU Peng NI WenJian XIONG Chuan LIU Qiang LIU ChenZhou GUO Peng CUI Qian LI YunQing CHEN Jing WANG AnQi LUO HeJia WANG YinHui | 2012 | Science China Earth Sciences2012，55，7： | 24 |
| 2 | Improvement of snow depth retrieval for FY3B-MWRI in China显示文摘The primary objective of this work is to develop an operational snow depth retrieval algorithm for the FengYun3B Microwave Radiation Imager(FY3B-MWRI)in China.Based on 7-year(2002–2009)observations of brightness temperature by the Advanced Microwave Scanning Radiometer-EOS(AMSR-E)and snow depth from Chinese meteorological stations,we develop a semi-empirical snow depth retrieval algorithm.When its land cover fraction is larger than 85%,we regard a pixel as pure at the satellite passive microwave remote-sensing scale.A 1-km resolution land use/land cover(LULC)map from the Data Center for Resources and Environmental Sciences,Chinese Academy of Sciences,is used to determine fractions of four main land cover types(grass,farmland,bare soil,and forest).Land cover sensitivity snow depth retrieval algorithms are initially developed using AMSR-E brightness temperature data.Each grid-cell snow depth was estimated as the sum of snow depths from each land cover algorithm weighted by percentages of land cover types within each grid cell.Through evaluation of this algorithm using station measurements from 2006,the root mean square error(RMSE)of snow depth retrieval is about 5.6 cm.In forest regions,snow depth is underestimated relative to ground observation,because stem volume and canopy closure are ignored in current algorithms.In addition,comparison between snow cover derived from AMSR-E and FY3B-MWRI with Moderate-resolution Imaging Spectroradiometer(MODIS)snow cover products(MYD10C1)in January 2010 showed that algorithm accuracy in snow cover monitoring can reach 84%.Finally,we compared snow water equivalence(SWE)derived using FY3B-MWRI with AMSR-E SWE products in the Northern Hemisphere.The results show that AMSR-E overestimated SWE in China,which agrees with other validations. | JIANG LingMei WANG Pei ZHANG LiXin YANG Hu YANG JunTao | 2014 | Science China Earth Sciences2014，57，6： | 22 |
| 3 | Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau显示文摘Long-term highly accurate surface soil moisture data of TP(Tibetan Plateau)are important to the research of Asian monsoon and global atmospheric circulation.However,due to the sparse in-situ networks,the lack of soil moisture observations has seriously hindered the progress of climate change researches of TP.Based on the Dual-Channel soil moisture retrieval algorithm and the satellite observation data of AMSR-E(Advanced Microwave Scanning Radiometer for EOS),we have produced the surface soil moisture data of TP from 2003 to 2010 and analyzed the seasonal characteristic of the soil moisture spatial distribution and its multi-year changing trend in area of TP.Compared to the in-situ observations,the accuracy of the soil moisture retrieved by the proposed algorithm is evaluated.The evaluation result shows that the new soil moisture product has a better accuracy in the TP region than the official product of AMSR-E.The spatial distribution of the annual mean values of soil moisture and the seasonal variations of the monthly-averaged soil moisture are analyzed.The results show that the soil moisture variations in space and time are consistent with the precipitation distribution and the water vapor transmission path in TP.Based on the new soil moisture product,we also analyzed the spatial distribution of the changing trend of multi-year soil moisture in TP.From the comparisons with the precipitation changing trend obtained from the meteorological observation sites in TP,we found that the spatial pattern of the changing trend of soil moisture coincides with the precipitation as a whole. | LIU Qiang DU JinYang SHI JianCheng JIANG LingMei | 2013 | Science China Earth Sciences2013，56，12： | 13 |
| 4 | Effects of spatial distribution of soil parameters on soil moisture retrieval from passive microwave remote sensing显示文摘In this paper,we studied the effect of spatial distribution of soil parameters on passive soil moisture retrieval at pixel scale.First,we evaluated the forward microwave emission model and soil moisture retrieval algorithm accuracy through the observa-tion of field experiments.Then,we used soil parameters in different spatial distribution patterns,including random,normal,and uniform distribution,to determine the different levels of heterogeneity on soil moisture retrieval,in order to seek the rela-tionship between heterogeneity and soil moisture retrieval error.Finally,we conducted a controlled heterogeneity effect ex-periment measurements using a Truck-mounted Multi-frequency Radiometer(TMMR) to validate our simulation results.This work has proved that the soil moisture retrieval algorithm had a high accuracy(RMSE=0.049 cm3 cm 3) and can satisfy the need of this research.The simulation brightness temperatures match well with observations,with RMSE=9.89 K.At passive microwave remote sensing pixel scale,soil parameters with different spatial distribution patterns could have different levels of error on soil moisture estimation.Overall,we found that soil moisture with a random distribution in a satellite pixel scale can cause the largest error,with a normal distribution being the second,and a uniform distribution the least due to the smallest het-erogeneity. | ZHANG Tao ZHANG LiXin JIANG LingMei ZHAO ShaoJie ZHAO TianJie LI YunQing | 2012 | Science China Earth Sciences2012，55，8： | 5 |
| 5 | Review of snow water equivalent microwave remote sensing显示文摘Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. | SHI JianCheng XIONG Chuan JIANG LingMei | 2016 | Science China Earth Sciences2016，59，4： | 5 |
| 6 | The development of an algorithm to enhance and match the resolution of satellite measurements from AMSR-E显示文摘Microwave radiometers have many applications because of their penetration ability. However, two major problems remain that obstruct the development of microwave research. One factor that limits their commercial application is the relatively low resolution of microwave radiometers. The other is the non-uniform spatial resolution for each frequency of the radiometer. The resolution mismatch becomes a critical consideration when observations at two or more frequencies must be combined. In this paper, we have used the Backus-Gilbert method to solve these two problems, while AMSR-E is chosen as the research object. First, we derived the Backus-Gilbert method in detail. The simulated data were then used to decide the optimum parameters in the Backus-Gilbert method. To enhance the resolution, the Backus-Gilbert method has been applied to the AMSR-E data, which covered the Mexico Gulf and the Amazon River. After resolution was enhanced, detailed information was obtained and compared with visible high resolution data. To match the resolution, the AMSR-E data from the Oklahoma Little Washed were used to compute the Microwave Vegetation Index (MVI), which was developed by J. C. Shi. Compared to the original MVIs, the information contained in the MVIs that were processed by the Backus-Gilbert method is more reliable. | WANG YongQian SHI JianCheng JIANG LingMei DU JinYang TIAN BangSen | 2011 | Science China Earth Sciences2011，54，3： | 3 |
| 7 | A Parameterized Multi-Frequency-Polarization Surface Emission Model显示文摘 | Shi Jiancheng Jiang Lingmei Zhang Lixin | 2005 | IEEE Transaetionns on Geoseienee an Remote Sensing2005，43，12： | 1 |
| 8 | Comparison of the multi‐layer HUT snow emission model with observations of wet snowpacks显示文摘 | Jinmei Pan Lingmei Jiang Lixing Zhang | 2014 | Hydrol Process2014，，3： | 1 |
| 9 | Esti- mate of phase transition water content in freeze-thaw process using microwave radiometer 显示文摘 | Zhang Lixin Zhao Tianjie Jiang Lingmei | 2010 | IEEE Transac- tions on Geoscience and Remote Sensing2010，48，12： | 1 |
| 10 | A Parameterized Multifrequency-polarization Surface Emission Model显示文摘 | ShiJian cheng Lingmei Jiang Lixin Zhang | 2005 | IEEE Transactions on Geoscience and Remote Sensing2005，43，： | 1 |
| 11 | Thermal Bi-directional Gap Probability Model for Row Crop Canopies and Validation显示文摘 | Yan Guangjian Jiang Lingmei Wang Jindi | 2003 | Science in China (Series D)2003，46，12： | 1 |
| 12 | Nitric oxide-mediated immunosuppressive effect of Human amniotic membrane-derived mesenchymal stem cells on the viability and migration of microglia显示文摘 | Ke Yan Run Zhang Lei Chen Fanfan Chen Yi Liu Lingmei Peng Haitao Sun Weiyi Huang Chengmei Sun Bingke Lv Feng Li Yingqian Cai Yanping Tang Yuxi Zou Mouxuan Du Lingsha Qin Hengzhu Zhang Xiaodan Jiang | 2014 | Brain Research2014，，： | 1 |
| 13 | A new soil freeze/thaw discriminant algorithm using AMSR-E passive microwave imagery显示文摘 | Zhao Tianjie Zhang Lixin Jiang Lingmei | 2011 | Hydrological Processes2011，25，11： | 1 |
| 14 | A parameterized multifrequency-polarization surface emission model显示文摘 | Shi Jiancheng Jiang Lingmei Zhang Lixin | 2005 | IEEE Transactions on Geoscience and Remote Sensing2005，43，12： | 1 |
| 15 | A parameterized multifrequency polarization surface emission model显示文摘 | Shi Jiancheng Lingmei Jiang Lixin Zhang | 2005 | IEEE Transactions on Geoscience and Remote Sensing2005，，43： | 1 |
| 16 | A Parameterized Multifrequency-polarization Surface Emission Model显示文摘 | Shi Jiancheng Lingmei Jiang Lixin Zhang | 2005 | IEEE Transactions on Geoscience and Remote Sensing2005，43，： | 1 |
| 17 | Physically Based Estimation of Bare-Surface Soil Moisture With the Passive Radiometers显示文摘 | Shi Jiancheng Jiang Lingmei Zhang Lixin | 2006 | IEEE Transactions on Geoseience and Remote Sensing2006，44，11： | 1 |
| 18 | Daily snow water equivalent product with SMMR,SSM/I and SSMIS from 1980 to 2020 over China显示文摘The reliable knowledge of seasonal snow volume and its trend is very important to understand Earth’s climate system.Thus,a long-time snow water equivalent(SWE)dataset is necessary.This work presents a daily SWE product of 1980-2020 with a linear unmixing method through passive microwave data including SMMR,SSM/I and SSMIS over China after cross-calibration and bias-correction.The unbiased root-mean-square error of snow depth is about 5-7 cm,corresponding to 10-15 mm for SWE,when compared with stations measurements and field snow course data.The spatial patterns and trends of SWE over China present significant regional differences.The overall slope trend presented an insignificant decreasing pattern during 1980-2020 over China;however,there is an obvious fluctuation,i.e.a significant decrease trend during the period 1980-1990,an upward trend from 2005 to 2009,a significant downward trend from 2009 to 2018.The increase of SWE occurred in the Northeast Plain,with an increase trend of 0.2 mm per year.Whereas in the Hengduan Mountains,it presented a downward trend of SWE,up to−0.3 mm per year.In the North Xinjiang,SWE has an increasing trend in the Junggar Basin,while it shows a decreasing trend in the Tianshan and Altai Mountains. | Lingmei Jiang Jianwei Yang Cheng Zhang Shengli Wu Zhen Li Liyun Dai Xiaofeng Li Yubao Qiu | 2022 | Big Earth Data2022，6，4： | 0 |
| 19 | Facile Exfoliation of Two-Dimensional Crystalline Monolayer Nanosheets from an Amorphous Metal-Organic Framework显示文摘The large-scale preparation ofmonolayer two-dimensional(2D)material remains a great challenge,which hinders its real-world applications.Herein,we report a novel layered metal–organic framework(MOF),IPM-1,whichwas synthesized froma cage-like organic linker,with extremely weak interlaminar interaction.When subjected to external disturbance,IPM-1 degenerated into an intermediate state between the crystalline and amorphous phase,in which the layers retain the inplane two-dimensional periodic structure but aremisaligned in the third dimension,leading to the loss of apparent porosity and crystallinity.This amorphous IPM-1 is readily exfoliated at gramscale into crystalline 2D nanosheets with a thickness of 1.15 nm,excellent thickness homogeneity,lateral size up to 10μm,and restored microporosity.IPM-1 nanosheets exhibit high chemical stability and catalytic activity in the oxidation of alcohol,combining the advantages of both homogeneous and heterogeneous catalyst.This work underscores that MOFs without apparent crystallinity can be ideal precursors for the successful preparation of 2D crystalline monolayer nanosheets. | Jiahui Wang Pengfei Yang Lingmei Liu Bin Zheng Jing Jiang Jian-ping Ma Yi Yan Song Yang Luo Yang Qi-Kui Liu Yu Han Yin Chen | 2022 | CCS Chemistry2022，4，6： | 0 |
| 20 | SGT:Session-based Recommendation with GRU and Transformer显示文摘Session-based recommendation aims to predict user preferences based on anonymous behavior sequences.Recent research on session-based recommendation systems has mainly focused on utilizing attention mechanisms on sequential patterns,which has achieved significant results.However,most existing studies only consider individual items in a session and do not extract information from continuous items,which can easily lead to the loss of information on item transition relationships.Therefore,this paper proposes a session-based recommendation algorithm(SGT)based on Gated Recurrent Unit(GRU)and Transformer,which captures user interests by learning continuous items in the current session and utilizes all item transitions on sessions in a more refined way.By combining short-term sessions and long-term behavior,user dynamic preferences are captured.Extensive experiments were conducted on three session-based recommendation datasets,and compared to the baseline methods,both the recall rate Recall@20 and the mean reciprocal rank MRR@20 of the SGT algorithm were improved,demonstrating the effectiveness of the SGT method. | Lingmei Wu Liqiang Zhang Xing Zhang Linli Jiang Chunmei Wu | 2023 | Journal of Computer Science Research2023，5，2： | 0 |
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