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agricultural drought monitoring and forecasting. In Geoscience and Remote Sensing Symposium
(IGARSS), 2012 IEEE International (pp. 958–961). IEEE.
Deng, M., Di, L., Han, W., et al. (2013). Web-service-based monitoring and analysis of global
agricultural drought. Photogrammetric Engineering and Remote Sensing, 79, 929–943.
Di, L. (2004). GeoBrain-a web services based geospatial knowledge building system. In Proceedings of NASA earth science technology conference (pp. 22–24).
Di, L. (2016). Big data and its applications in agro-geoinformatics. In 2016 IEEE International
Geoscience and Remote Sensing Symposium (IGARSS) (pp. 189–191).
Di, L., Yue, P., Ramapriyan, H. K., & King, R. L. (2013). Geoscience data provenance: An
overview. IEEE Transactions on Geoscience and Remote Sensing, 51, 5065–5072.
Di, L., Yu, E. G., Yang, Z., et al. (2015). Remote sensing based crop growth stage estimation model.
In Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
(pp. 2739–2742). IEEE.
Di, L., Sun, Z., Yu, E., et al. (2016). Coupling of Earth science models and earth observations
through OGC interoperability specifications. In Geoscience and Remote Sensing Symposium
(IGARSS), 2016 IEEE International (pp. 3602–3605). IEEE.
Di, L., Yu, E. G., Kang, L., et al. (2017). RF-CLASS: A remote-sensing-based flood crop loss
assessment cyber-service system for supporting crop statistics and insurance decision-making.
Journal of Integrative Agriculture, 16, 408–423. https://doi.org/10.1016/S2095-3119(16)
61499-5.
Entekhabi, D., Njoku, E. G., O’Neill, P. E., et al. (2010). The soil moisture active passive (SMAP)
mission. Proceedings of the IEEE, 98, 704–716.
Fuger S, Najmi F, Stojanovic N (2005) ebxml registry information model version 3.0.
GADMFS. (2017). GADMFS developer guide. http://gis.csiss.gmu.edu/GADMFS/devhelp/help.
html. Accessed 5 June 2017.
Hahmann, S., Burghardt, D., & Weber, B. (2011). “80% of All Information is Geospatially
Referenced”??? Towards a Research Framework: Using the Semantic Web for (In) Validating
this Famous Geo Assertion. In Proceedings of the 14th AGILE Conference on Geographic
Information Science.
Han, W., Yang, Z., Di, L., & Mueller, R. (2012). CropScape: A web service based application for
exploring and disseminating US conterminous geospatial cropland data products for decision
support. Computers and Electronics in Agriculture, 84, 111–123. https://doi.org/10.1016/j.
compag.2012.03.005.
Han, W., Yang, Z., Di, L., et al. (2014a). Enhancing agricultural geospatial data dissemination and
applications using geospatial web services. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 7, 4539–4547.
Han, W., Yang, Z., Di, L., & Yue, P. (2014b). A geospatial web service approach for creating
on-demand cropland data layer thematic maps. Transactions of the ASABE, 57, 239–247.
18 Design and Implementation of Geospatial Data Services for Agriculture
401