Geospatial analysis, World Wide Web, Web service, Web Coverage Service and Geospatial PDF are his primary areas of study. The Geospatial analysis study combines topics in areas such as Workflow, Service, Database, Interoperability and Data science. In the field of Database, his study on Business Process Execution Language and Workflow engine overlaps with subjects such as Sensor web.
He has included themes like Emerging technologies, Spatial information systems and Operations research in his World Wide Web study. His Web Processing Service study, which is part of a larger body of work in Web service, is frequently linked to Context, bridging the gap between disciplines. His study in Geospatial PDF is interdisciplinary in nature, drawing from both Geographic information systems in geospatial intelligence and Geospatial metadata.
Liping Di mainly focuses on Geospatial analysis, Web service, World Wide Web, Remote sensing and Web Coverage Service. His Geospatial analysis study incorporates themes from Workflow, Service, Database, Interoperability and Geographic information system. In the subject of general Web service, his work in Web Processing Service, Service-oriented architecture and Web modeling is often linked to Sensor web, thereby combining diverse domains of study.
His research investigates the connection between World Wide Web and topics such as Geospatial PDF that intersect with problems in Geographic information systems in geospatial intelligence. The Remote sensing study combines topics in areas such as Land cover and Vegetation, Normalized Difference Vegetation Index. His Normalized Difference Vegetation Index research is multidisciplinary, relying on both Hydrology, Statistics and Moderate-resolution imaging spectroradiometer.
Liping Di focuses on Remote sensing, Cyberinfrastructure, Workflow, Crop and Artificial intelligence. His Remote sensing research is multidisciplinary, incorporating elements of Earth, Feature extraction, Flood mapping and Inverse transform sampling. His Cyberinfrastructure research integrates issues from Web service, Geospatial analysis and Service.
The scientist’s investigation covers issues in Workflow, Remote sensing, Artificial intelligence, Cyberinfrastructure and Land cover. His studies deal with areas such as Java and SOAP, World Wide Web as well as Workflow. Liping Di integrates several fields in his works, including Remote sensing and Radar.
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CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
Weiguo Han;Zhengwei Yang;Liping Di;Richard Mueller.
Computers and Electronics in Agriculture (2012)
Modelling relationships between NDVI and precipitation during vegetative growth cycles
Liping Di;D. C. Rundquist;Luoheng Han.
International Journal of Remote Sensing (1994)
Semantics-based automatic composition of geospatial Web service chains
Peng Yue;Liping Di;Wenli Yang;Genong Yu.
Computers & Geosciences (2007)
Estimation of Crop LAI using hyperspectral vegetation indices and a hybrid inversion method
Liang Liang;Liang Liang;Liang Liang;Liping Di;Lianpeng Zhang;Meixia Deng.
Remote Sensing of Environment (2015)
Statewide groundwater‐vulnerability assessment in nebraska using the drastic/GIS model
Donald C. Rundquist;Albert J. Peters;Liping Di;Donn A. Rodekohr.
Geocarto International (1991)
A Decision-Tree Classifier for Extracting Transparent Plastic-Mulched Landcover from Landsat-5 TM Images
Lizhen Lu;Liping Di;Yanmei Ye.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2014)
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
Jie Sun;Jie Sun;Liping Di;Ziheng Sun;Yonglin Shen;Yonglin Shen.
Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series
Ziheng Sun;Liping Di;Hui Fang.
International Journal of Remote Sensing (2019)
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method
Liang Liang;Zhihao Qin;Shuhe Zhao;Liping Di.
Journal of remote sensing (2016)
Geo-processing workflow driven wildfire hot pixel detection under sensor web environment
Nengcheng Chen;Liping Di;Genong Yu;Jianya Gong.
Computers & Geosciences (2010)
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