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Sun, Z., Di, L., & Fang, H. (2019). Using long short-term memory recurrent neural network in land
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Remote Sensing, 40(2), 593–614.
Sun, Z., Di, L., Cash, B., & Gaigalas, J. (2019a). Advanced cyberinfrastructure for intercomparison
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development in the early 21st century’ (Australian Centre for International Agricultural
Research (ACIAR), 2005
Sun, Z., & Di, L. (2018). CyberConnector COVALI: Enabling inter-comparison and validation of
Earth science models. In CyberConnector COVALI: Enabling inter-comparison and validation
of earth science models.
Sun, Z., & Di, L. (2019). Geoweaver: A web-based prototype system for managing compound
geospatial workflows of large-scale distributed deep networks (p. 2019).
Sun, Z., & Yue, P. (2010). The use of Web 2.0 and geoprocessing services to support geoscientific
workflows. In The use of Web 2.0 and geoprocessing services to support geoscientific workflows
(pp. 1–5).
Sun, Z., Yue, P., Lu, X., Zhai, X., & Hu, L. (2012a). A task ontology driven approach for live
geoprocessing in a service oriented environment. Transactions in GIS, 16(6), 867–884.
Sun, Z., Yue, P., & Di, L. (2012b). GeoPWTManager: A task-oriented web geoprocessing system.
Computers & Geosciences, 47(0), 34–45.
Sun, Z., Di, L., Chen, A., Yue, P., & Gong, J. (2013). The use of geospatial workflows to support
automatic detection of complex geospatial features from high resolution images. In The use of
geospatial workflows to support automatic detection of complex geospatial features from high
resolution images (pp. 159–162). IEEE.
Sun, Z., Di, L., Zhang, C., Lin, L., Fang, H., Tan, X., & Yue, P. (2016a). Combining OGC WCS
with SOAP to facilitate the retrieval of remote sensing imagery about agricultural fields. In
Combining OGC WCS with SOAP to faciliate the retrieval of remote sensing imagery about
agricultural fields (pp. 1–4). IEEE.
Sun, Z., Fang, H., Di, L., & Yue, P. (2016b). Realizing parameterless automatic classification of
remote sensing imagery using ontology engineering and cyberinfrastructure techniques. Computers & Geosciences, 94, 56–67.
Sun, Z., Di, L., Zhang, C., Fang, H., Yu, E., Lin, L., Tan, X., Guo, L., Chen, Z., & Yue, P. (2017a).
Establish cyberinfrastructure to facilitate agricultural drought monitoring. In Establish
cyberinfrastructure to facilitate agricultural drought monitoring (pp. 1–4). IEEE.
Sun, Z., Di, L., Heo, G., Zhang, C., Fang, H., Yue, P., Jiang, L., Tan, X., Guo, L., & Lin, L. (2017b).
GeoFairy: Towards a one-stop and location based Service for Geospatial Information Retrieval.
Computers, Environment and Urban Systems, 62, 156–167.
Sun, Z., Di, L., Huang, H., Wu, X., Tong, D. Q., Zhang, C., Virgei, C., Fang, H., Yu, E., & Tan,
X. (2017c). CyberConnector: A service-oriented system for automatically tailoring multisource
earth observation data to feed Earth science models. Earth Science Informatics, 11(1), 1–17.
Sun, Z., Di, L., & Fang, H. (2019). Using long short-term memory recurrent neural network in land
cover classification on Landsat and cropland data layer time series. International Journal of
Remote Sensing, 40(2), 593–614.
Sun, Z., Di, L., Cash, B., & Gaigalas, J. (2019a). Advanced cyberinfrastructure for intercomparison
and validation of climate models. Environmental Modelling & Software, 123, 104559.
Sun, Z., Di, L., & Gaigalas, J. (2019b). SUIS: Simplify the use of geospatial web services in
environmental modelling. Environmental Modelling & Software, 119, 228–241.
Sun, Z., Di, L., Fang, H., Guo, L., Yu, E., Tang, J., Zhao, H., Gaigalas, J., Zhang, C., & Lin,
L. (2019c). Advanced Cyberinfrastructure for agricultural drought monitoring. In Advanced
Cyberinfrastructure for agricultural drought monitoring (pp. 1–5). IEEE.
Woolpert, M. (2015). The greatest challenge facing agriculture over the next 5 years. The
University of Vermont. USDA.
Yang, Z., Yu, G., Di, L., Zhang, B., Han, W., & Mueller, R. (2013). Web service-based vegetation
condition monitoring system-VegScape. In Web service-based vegetation condition monitoring
system-VegScape (pp. 3638–3641).
8 Big Data and Its Applications in Agro-Geoinformatics
161