Building an on-demand web service system for Global Agricultural Drought Monitoring and Forecasting. Deng, M., Di, L., Yu, G., Yagci, A., Peng, C., Zhang, B., & Shen, D. In 2012 IEEE International Geoscience and Remote Sensing Symposium, pages 958–961, July, 2012.
doi  abstract   bibtex   
There is an urgent need but remains a very challenging problem to provide worldwide users with timely, on-demand, and ready-to-use agricultural drought data and information. The latest advances in Web service, geospatial interoperability and cyber-infrastructure technologies and the availability of near real-time global remote sensing data promise a solution to the problem. This paper presents the research study of the state of the art, methodology and approaches to building an open, interoperable, on-demand Web service system for global agriculture drought monitoring and forecasting. The implemented system, named as Global Agriculture Drought Monitoring and Forecasting System (GADMFS), overcomes most limitations of current agriculture drought information systems in the world and significantly improves global agriculture drought monitoring, prediction and analysis with advanced geospatial Web service technology.
@inproceedings{deng_building_2012,
	title = {Building an on-demand web service system for {Global} {Agricultural} {Drought} {Monitoring} and {Forecasting}},
	doi = {10.1109/IGARSS.2012.6351392},
	abstract = {There is an urgent need but remains a very challenging problem to provide worldwide users with timely, on-demand, and ready-to-use agricultural drought data and information. The latest advances in Web service, geospatial interoperability and cyber-infrastructure technologies and the availability of near real-time global remote sensing data promise a solution to the problem. This paper presents the research study of the state of the art, methodology and approaches to building an open, interoperable, on-demand Web service system for global agriculture drought monitoring and forecasting. The implemented system, named as Global Agriculture Drought Monitoring and Forecasting System (GADMFS), overcomes most limitations of current agriculture drought information systems in the world and significantly improves global agriculture drought monitoring, prediction and analysis with advanced geospatial Web service technology.},
	booktitle = {2012 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
	author = {Deng, M. and Di, L. and Yu, G. and Yagci, A. and Peng, C. and Zhang, B. and Shen, D.},
	month = jul,
	year = {2012},
	keywords = {advanced geospatial Web service technology, Agriculture, cyber-infrastructure technologies, distributed computing, Forecasting, geographic information systems, geophysics computing, Geospatial analysis, geospatial interoperability, global agricultural drought forecasting, global agricultural drought monitoring, hazards, hydrology, Monitoring, on-demand web service system, ready-to-use agricultural drought data, ready-to-use agricultural drought information, real-time global remote sensing data, remote sensing, Remote sensing, Spatial resolution, Web services},
	pages = {958--961},
	file = {IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/NARSKNN3/6351392.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/23TR63EF/Deng et al. - 2012 - Building an on-demand web service system for Globa.pdf:application/pdf}
}

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