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| 1 | GIS-based detection of land use transformation in the Loess Plateau: A case study in Baota District, Shaanxi Province, China显示文摘在过去的十年期间,大努力被作了在黄土高原增加陆地使用转变,特别为减少由植被恢复措施的土壤侵蚀。Grain-for-Green 工程(GFG ) 是在中国的最大的生态的康复程序,它为西方中国的生态地易碎的区域在植被恢复和持续开发上有积极影响。为三个次时期(2000, 2005 和 2010 ) 基于 Landsat TM/ETM 图象,这研究使用了 GIS 技术和一个山斜坡揭示在 Baota 区域把斜坡农田还给草地或树林的时间空间的进化模式的分析模型, Shaanxi 的 Yanan 城市省。结果显示出那:(1 ) 从 2000 ~ 2010,农田的区域在约 35,030 减少了哈,而草地,树林和构造土地增加了,它是在所有陆地使用类型之中的最大的减少,哪个 26,380 很快扩展的草地哈。(2 ) 陆地使用动力学的年度变化率在时期期间是 1.98% 20002010,哪个率为 20002005 时期是 1.05% 并且 2.92% 为 20052010 时期分别地。在过去的十年,把农田还给树林或牧场是增加的草地和树林的主要来源,并且农田的减小分别地在 97.39% 和 85.28% 在草地和树林贡献了增加。(3 ) 当地面斜坡增加,农田减少了,树林和草地显著地增加了。有从 15 潰獳獥楳湯的一个斜坡的区域? | GUO Liying DI Liping LI Gang LUO Qiyou GAO Mingjie | 2015 | Journal of Geographical Sciences2015，25，12： | 11 |
| 2 | Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain,China显示文摘Temperature vegetation dryness index(TVDI) and crop water stress index(CWSI) are two commonly used remote sensing-based agricultural drought indicators. This study explored the applicability of monthly moderate resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) and land surface temperature(LST) data for agricultural drought monitoring in the Guanzhong Plain,China in 2003. The data were processed using TVDI,calculated by parameterizing the relationship between the MODIS NDVI and LST data. We compared the effectiveness of TVDI against CWSI,derived from the MOD16 products,for drought monitoring. In addition,the surface soil moisture and monthly precipitation were collected and used for verification of the results. Results from the study showed that:(1) drought conditions measured by TVDI and CWSI had a number of similarities,which indicated that both CWSI and TVDI can be used for drought monitoring,although they had some discrepancies in the spatiotemporal characteristics of drought intensity of this region; and(2) both standardized precipitation index(SPI) and SM contents at the depth of 10 and 20 cm had better correlations to CWSI than to TVDI,indicating that there were more statistically significant relationships between CWSI and SPI/SM,and that CWSI is a more reliable indicator for assessing and monitoring droughts in this region. | BAI Jian-jun YU Yuan Liping Di | 2017 | Journal of Integrative Agriculture2017，16，2： | 10 |
| 3 | Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer显示文摘Flood events and their impact on crops are extremely significant scientific research issues; however,flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change,which requires accurate assessment to quantify the damages. Various remote sensing products and indices have been used in the past for this purpose. This paper utilizes the moderate resolution imaging spectroradiometer(MODIS) weekly normalized difference vegetation index(NDVI) product to detect and further quantify flood damages on corn within the major corn producing states in the Midwest region of the US. County-level analyses were performed by taking weighted average of all pure corn pixels(>90%) masked by the United States Department of Agriculture(USDA) Cropland Data Layer(CDL). The NDVI-based time-series difference between flood years and normal year(median of years 2000–2014) was used to detect flood occurrences. To further measure the impact of the flood on corn yield,regression analysis between change in NDVI and change in corn yield as independent and dependent variables respectively was performed for 30 different flooding events within growing seasons of the corn. With the R2 value of 0.85,the model indicates statistically significant linear relation between the NDVI and corn yield. Testing the predictability of the model with 10 new cases,the average relative error of the model was only 4.47%. Furthermore,small error(4.8%) of leave-one-out cross validation(LOOCV) along with smaller statistical error indicators(root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE)),further validated the accuracy of the model. Utilizing the linear regression approach,change in NDVI during the growing season of corn appeared to be a good indicator to quantify the yield loss due to flood. Additionally,with the 250 m MODIS-based NDVI,these yield losses can be estimated up to field level. | Ran jay Shrestha Liping Di Eugene G. Yu Lingjun Kang SHAO Yuan-zhen BAI Yu-qi | 2017 | Journal of Integrative Agriculture2017，16，2： | 8 |
| 4 | A capability matching and ontology reasoning method for high precision OGC web service discovery显示文摘Finding the right spatially aware web service in a heterogeneous distributed environment using criteria such as service type,version,time,space,and scale has become a challenge in the integration of geospatial information services.A new method for retrieving Open Geospatial Consortium(OGC)Web Service(OWS)that deals with this challenge using page crawling,link detection,service capability matching,and ontology reasoning,is described in this paper.Its major components are distributed OWS,the OWS search engine,the OWS ontology generator,the ontology-based OWS catalog service,and the ontology-based multi-protocol OWS client.Experimental results show that the execution time of this proposed method equals only 0.26 of that of Nutch’s method.In addition,the precision is much higher.Moreover,this proposed method can carry out complex OWS reasoning-based queries.It is being used successfully for the Antarctica multi-protocol OWS portal of the Geo-Information Web Service Portal of the Polar. | Nengcheng Chen Zeqiang Chen Chuli Hu Liping Di | 2011 | International Journal of Digital Earth2011，4，6： | 6 |
| 5 | Developing crop specific area frame stratifications based on geospatial crop frequency and cultivation data layers显示文摘Area Sampling Frames(ASFs) are the basis of many statistical programs around the world. To improve the accuracy,objectivity and efficiency of crop survey estimates,an automated stratification method based on geospatial crop planting frequency and cultivation data is proposed. This paper investigates using 2008–2013 geospatial corn,soybean and wheat planting frequency data layers to create three corresponding single crop specific and one multi-crop specific South Dakota(SD) U.S. ASF stratifications. Corn,soybeans and wheat are three major crops in South Dakota. The crop specific ASF stratifications are developed based on crop frequency statistics derived at the primary sampling unit(PSU) level based on the Crop Frequency Data Layers. The SD corn,soybean and wheat mean planting frequency strata of the single crop stratifications are substratified by percent cultivation based on the 2013 Cultivation Layer. The three newly derived ASF stratifications provide more crop specific information when compared to the current National Agricultural Statistics Service(NASS) ASF based on percent cultivation alone. Further,a multi-crop stratification is developed based on the individual corn,soybean and wheat planting frequency data layers. It is observed that all four crop frequency based ASF stratifications consistently predict corn,soybean and wheat planting patterns well as verified by the 2014 Farm Service Agency(FSA) Common Land Unit(CLU) and 578 administrative data. This demonstrates that the new stratifications based on crop planting frequency and cultivation are crop type independent and applicable to all major crops. Further,these results indicate that the new crop specific ASF stratifications have great potential to improve ASF accuracy,efficiency and crop estimates. | Claire G. Boryan Zhengwei Yang Patrick Willis Liping Di | 2017 | Journal of Integrative Agriculture2017，16，2： | 5 |
| 6 | 我国农用地资源态势分析与对策建议——基于国家农业资源台账显示文摘[目的]为切实解决我国长期面临的农业资源禀赋家底不清楚、农业资源更新不及时、基础数据共享不充分等实际问题,中国农业科学院农业资源与农业区划研究所率先启动了'国家重要农业资源台账数据'系统建设和服务应用。[方法]文章在国家重要农业资源台账数据基础上,根据研究内容与分析要求,甄选出了典型样点县(市)农用地资源数据库(2010~2015年),作为农用地资源态势分析和研究的依据。[结果](1)耕地、林地是典型样点县农用地主要类型。耕地主要分布在我国中东部地区,占土地总面积均在40%以上。2010~2015年,全国各样点农用地结构均发生了明显变化。耕地呈现总体增加的态势,年均增长率为1.76%,主要分布在土地后备资源较丰富地区,耕地减少的地区主要在快速发展的中部区域。(2)2010~2015年耕地质量呈现整体下降态势,这种趋势在我国中部经济增长较快的地区尤其明显。草地、园地面积均有明显减少,年均减少2.10%和2.02%。(3)分析土壤有机质含量平均值、全氮含量平均值、速效钾含量平均值及土壤pH发现,东北地区样点的有机质含量高,由北向南逐渐降低;南部地区的土壤全氮含量、有效磷含量较高,华北地区普遍偏低。土壤速效钾含量最高的地区分布在中部地区,而南部土壤速效钾含量较低。中部地区的p H普遍偏高,土壤呈碱性,南部及北部地区的pH偏低,土壤多为酸性。[结论]近些年来我国耕地数量保持稳定甚至有所增加,但耕地质量下降的问题不容忽视。从提高农业综合生产能力、促进农业农村可持续发展的战略高度,亟须进一步加大农用地资源整治与保护力度,加快国家农业资源基础数据建设与共享,加强农业资源利用领域前沿的技术方法和科学决策研究,为新时代农业农村优先发展、推进农业现代化提供参考依据。 | 郭丽英 张华 Liping Di 罗其友 高明杰 | 2017 | 中国农业资源与区划2017，38，12： | 5 |
| 7 | 2000–2015年京津走廊耕地和建设用地变化监测研究(英文)显示文摘Rapid peri-urbanization has become a new challenge for sustainable urban-rural development worldwide. To clarify how unprecedented urban sprawl at the metropolitan fringe impacts urban-rural landscape, this study took the Beijing-Tianjin corridor of Beijing-Tianjin-Hebei metropolitan area, one of the largest urban clusters in China, as a typical example. By using Landsat-based landscape metrics and a practical methodology, we investigated the landscape changes and discussed the potential reasons in the context of rapid peri-urbanization of China. Specifically, multi-temporal land use maps derived from Landsat images were used to calculate landscape metrics and analyze their characteristics along the urban-rural gradients. The practical methodology was used to monitor spatio-temporal characteristics of landscape change in large metropolitan areas. The results showed that landscape patterns in the area had changed greatly from 2000 to 2015 with characteristics of construction land sprawl and arable land shrinkage. The intensity and scale of landscape changes varied along the urban-rural gradients. Sampled plots in urbanized areas and rural areas demonstrated distinguishable landscape patterns and significant differences. Urban areas had more heterogeneous and fragmented landscapes than rural areas. Peri-urban areas in general experienced higher levels of land diversification than rural areas. Rural residential land appeared to be more aggregated near Beijing and Tianjin cities. Besides, our findings also indicated that urban expansion was largely responsible for landscape patterns.The findings of this study potentially provide strategical insights into landscape planning around mega cities and sustainable coordinated urban-rural development. | 郭丽英 DI Liping TIAN Qing | 2019 | Journal of Geographical Sciences2019，0，5： | 5 |
| 8 | Current understanding of osteoarthritis pathogenesis and relevant new approaches显示文摘Osteoarthritis(OA)is the most common degenerative joint disease that causes painful swelling and permanent damage to the joints in the body.The molecular mechanisms of OA are currently unknown.OA is a heterogeneous disease that affects the entire joint,and multiple tissues are altered during OA development.To better understand the pathological mechanisms of OA,new approaches,methods,and techniques need to be used to understand OA pathogenesis.In this review,we first focus on the epigenetic regulation of OA,with a particular focus on DNA methylation,histone modification,and microRNA regulation,followed by a summary of several key mediators in OA-associated pain.We then introduce several innovative techniques that have been and will continue to be used in the fields of OA and OA-associated pain,such as CRISPR,scRNA sequencing,and lineage tracing.Next,we discuss the timely updates concerning cell death regulation in OA pathology,including pyroptosis,ferroptosis,and autophagy,as well as their individual roles in OA and potential molecular targets in treating OA.Finally,our review highlights new directions on the role of the synovial lymphatic system in OA.An improved understanding of OA pathogenesis will aid in the development of more specific and effective therapeutic interventions for OA. | Liping Tong Huan Yu Xingyun Huang Jie Shen Guozhi Xiao Lin Chen Huaiyu Wang Lianping Xing Di Chen | 2022 | Bone Research2022，10，4： | 4 |
| 9 | Loss of Wip1 aggravates brain injury after ischaemia/reperfusion by overactivating microglia显示文摘Background and purpose The inflammatory response mediated by microglia/macrophages is closely related to cerebral ischaemia/reperfusion injury.Wild-type p53-induced protein phosphatase 1(Wip1),a serine/threonine phosphatase,is expressed in various tissues.A growing number of reports have suggested that Wip1 is a negative regulator of inflammation in peripheral tissue;however,its role in the central nervous system(CNS)remains unclear.This study aimed to clarify whether Wip1 can inhibit CNS inflammation by regulating microglia/macrophage functions after ischaemic injury.Methods A model of middle cerebral artery occlusion and reperfusion was established in mice.CNS inflammation was simulated by lipopolysaccharide treatment of primary microglia.Laser speckle imaging was used to monitor regional cerebral blood flow.Behavioural outcomes were assessed with a TreadScan gait analysis system.TTC staining was used to evaluate the infarct volume,and western blotting and immunofluorescence staining were applied to detect the phenotypical transformation of microglia.ELISA was performed to detect the levels of inflammatory factors.Results Wip1 expression was increased after ischaemia/reperfusion.Wip1-knockout(KO)mice displayed more severe brain injury than wild-type mice,as indicated by aggravated motor dysfunction,greater brain infarct volumes and higher expression of inflammatory cytokines(interleukin-6 and tumour necrosis factor alpha)in the brain.We also found that Wip1 depletion increased microglial/macrophage activation in both in vitro and in vivo models,which all showed activation of microglia/macrophages.Lentivirus-Ppm1d reversed the injury induced by Wip1-KO.Conclusions Our results suggest that Wip1 may inhibit neuroinflammation by inhibiting microglial/macrophage activation after brain ischaemia/reperfusion injury. | Feng Yan Xiang Cheng Ming Zhao Shenghui Gong Ying Han Liping Ding Di Wu Yumin Luo Wei Zuo Lingling Zhu Ming Fan Xunming Ji | 2021 | Stroke & Vascular Neurology2021，6，3： | 4 |
| 10 | Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multicriteria显示文摘Rainfall induced landslides are a common threat to the communities living on dangerous hillslopes in Chittagong Metropolitan Area, Bangladesh. Extreme population pressure, indiscriminate hill cutting, increased precipitation events due to global warming and associated unplanned urbanization in the hills are exaggerating landslide events. The aim of this article is to prepare a scientifically accurate landslide susceptibility map by combining landslide initiation and runout maps. Land cover, slope, soil permeability, surface geology, precipitation, aspect, and distance to hill cut, road cut, drainage and stream network factor maps were selected by conditional independence test. The locations of 56 landslides were collected by field surveying. A weight of evidence(Wo E) method was applied to calculate the positive(presence of landslides) and negative(absence of landslides) factor weights. A combination of analytical hierarchical process(AHP) and fuzzymembership standardization(weighs from 0 to 1) was applied for performing a spatial multi-criteria evaluation. Expert opinion guided the decision rule for AHP. The Flow-R tool that allows modeling landslide runout from the initiation sources was applied. The flow direction was calculated using the modified Holmgren's algorithm. The AHP landslide initiation and runout susceptibility maps were used to prepare a combined landslide susceptibility map. The relative operating characteristic curve was used for model validation purpose. The accuracy of Wo E, AHP, and combined susceptibility map was calculated 96%, 97%, and 98%, respectively. | RAHMAN Md.Shahinoor AHMED Bayes DI Liping | 2017 | Journal of Mountain Science2017，14，10： | 4 |
| 11 | Remote sensing for agricultural applications显示文摘Agricultural geospatial information is critical for agricultural policy formulation and decision making,land use monitoring,agricultural sustainability,crop acreage and yield estimation,disaster assessment,bioenergy crop inventory,food security policy,environmental assessment,carbon accounting,and other research topics that are of vital importance to agriculture and economy.Remote sensing technology enables | zhengwei yang wu wen-bin liping di berk ustundag | 2017 | Journal of Integrative Agriculture2017，16，2： | 3 |
| 12 | RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making显示文摘Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss,such as flooded acreage and degree of crop damage,is very important for crop monitoring and risk management in agricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers' loss claim. Such methods are expensive,labor intensive,and time consumptive,especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy,subjectiveness,untimeliness,and lack of reproducibility. Recent studies have demonstrated that Earth observation(EO) data could be used in post-flood crop loss assessment for a large geographic area objectively,timely,accurately,and cost effectively. However,there is no operational decision support system,which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system,RF-CLASS,for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture,RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems,particularly the National Aeronautics and Space Administration(NASA) Earth Observing System Data and Information System(EOSDIS),for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data,such as flood frequency,flooded acreage,and degree of crop damage,for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment,the near-real-time availability of EO data,the service-oriented architecture,geospatial interoperability standards,and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system. | Liping Di Eugene G. Yu Lingjun Kang Ranjay Shrestha BAI Yu-qi | 2017 | Journal of Integrative Agriculture2017，16，2： | 3 |
| 13 | A flexible data and sensor planning service for virtual sensors based on web service 显示文摘 | Chen Zeqiang Chen Nengcheng Di Liping | 2011 | IEEE Sensors Journal2011，11，6： | 1 |
| 14 | A flexible geospatial sensor observation service for diverse sensor data based on Web service显示文摘 | Nengcheng Chen Liping Di Genong Yu Min Min | 2009 | ISPRS Journal of Photogrammetry and Remote Sensing2009，，2： | 1 |
| 15 | BPELPower—A BPEL execution engine for geospatial web services显示文摘 | Genong (Eugene) Yu Peisheng Zhao Liping Di Aijun Chen Meixia Deng Yuqi Bai | 2012 | Computers and Geosciences2012，，： | 1 |
| 16 | Semantic Web- based geospatial knowledge transformation 显示文摘 | Zhao Peisheng Di Liping Yu Genong | 2009 | Computers & Geosciences2009，35，4： | 1 |
| 17 | Geoscience model service integrated workflow for rainstorm waterlogging analysis显示文摘This paper proposed a geoscience model service integrated workflowbased rainstorm waterlogging analysis method to overcome the defects of conventional waterlogging analysis systems.In this research,we studied a general OGC WPS service invoking strategy,an automatic asynchronous invoking mechanism of WPS services in the BPEL workflow,and a distributed waterlogging analysis services integrated workflow to realize the reconstruction of a waterlogging analysis model based on the proposed method.The proposed method can make use of the flexible adjustment capability of the workflow and not only overcomes the inherent defects of conventional geoscience analysis methods but also realizes the integration and calculation of distributed geospatial data,models and computing resources automatically.The method has better construction convenience,execution reliability,extensibility and intelligence potential than a conventional method and has important value for dealing with more natural disasters and environmental challenges. | Xicheng Tan Jingguo Jiao Nengcheng Chen Fang Huang Liping Di Jinchuan Wang Zongyao Sha Jin Liu | 2021 | International Journal of Digital Earth2021，14，7： | 1 |
| 18 | Use of grid computing for modeling virtual geospatial prod- ucts显示文摘 | Chen Aijun Di Liping Wei Yaxing Bai Yuqi and Liu Yang | 2009 | International Journal of Geographical Information Science2009，23，5： | 1 |
| 19 | GeoPWTManager: a task-oriented web geoprocessing system显示文摘 | Ziheng Sun Peng Yue Liping Di | 2011 | Computers and Geosciences2011，，： | 1 |
| 20 | Semantics-based Automatic Composition of Geospatial Web Service Chains 显示文摘 | Yue Peng Di Liping Yang Wenli | 2007 | Computers and Geosciences2007，33，5： | 1 |
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