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12 Spatial and Temporal Monitoring System for Agriculture
231
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.
EDO. (2017). EDO European drought observatory – JRC European Commission. http://edo.jrc.ec.
europa.eu/edov2/php/index.php?id¼1000. Accessed 12 June 2017.
FSA. (2012). USDA-farm service agency common land unit (CLU) information sheet. https://www.
fsa.usda.gov/. Accessed 12 June 2017.
GADMFS. (2017). Global agricultural drought monitoring and forecasting system. http://gis.csiss.
gmu.edu/GADMFS/. Accessed 12 June 2017.
GDM. (2017). Global drought information system. https://www.drought.gov/gdm/. Accessed
12 June 2017.
GEOSS (2017) Geo-strategic target for agriculture. http://www.earthobservations.org/geoss.php.
Accessed 11 June 2017.
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.
LANCE. (2017). LANCE: NASA near real-time data and imagery | Earthdata. https://earthdata.
nasa.gov/earth-observation-data/near-real-time. Accessed 11 June 2017.
Lu, H., & Campbell, D. E. (2009). Ecological and economic dynamics of the Shunde agricultural
system under China’s small city development strategy. Journal of Environmental Management,
90, 2589–2600.
Mueller, M., & Pross, B. (2015) OGC WPS 2.0 Interface Standard. Open Geospatial Consortium
Specification, (pp. 14–065).
Na, A., & Priest, M. (2007) OGC Implementation Specification 06-009r6: OpenGIS Sensor
Observation Service (SOS). Open Geospatial Consortium Technical Report.
NASA MODIS. (2017). Moderate resolution imaging Spectroradiometer. https://modis.gsfc.nasa.
gov/data/. Accessed 12 June 2017.
Nebert, D, Whiteside, A., & Vretanos, P. (2007). OpenGIS Catalogue Services Specification. OGC
Implementation Specification.
Nigro, J., Slayback, D., Policelli, F., & Brakenridge, G. R. (2014). NASA/DFO MODIS near realtime (NRT) global flood mapping product evaluation of flood and permanent water detection.
https://floodmap.modaps.eosdis.nasa.gov//documents/NASAGlobalNRTEvaluationSummary_
v4.pdf. Accessed 12 June 2017.
NOAA AVHRR. (2017). NOAA Satellite Information System (NOAASIS). http://noaasis.noaa.gov/
NOAASIS/ml/avhrr.html. Accessed 12 June 2017.
Olson, K. R., & Morton, L. W. (2012). The impacts of 2011 induced levee breaches on agricultural
lands of Mississippi River Valley. Journal of Soil and Water Conservation, 67, 5A–10A.
OpenLayers. (2017). OpenLayers – A high-performance, feature-packed library for all your
mapping needs. http://openlayers.org/. Accessed 2 June 2017.
Peng, C., Deng, M., Di, L., & Han, W. (2015). Delivery of agricultural drought information via web
services. Earth Science Informatics, 8, 527–538.
Peterson, T. C., Heim, R. R., Jr., Hirsch, R., et al. (2013). Monitoring and understanding changes in
heat waves, cold waves, floods, and droughts in the United States: State of knowledge. Bulletin
of the American Meteorological Society, 94, 821–834.
RF-CLASS. (2017). RF-CLASS – Remote-sensing-based flood crop loss assessment service system.
http://dss.csiss.gmu.edu/RFCLASS/. Accessed 12 June 2017.
Sencha. (2017). ExtJS 4 JavaScript framework for rich apps in every browser. In Sencha. https://
www.sencha.com/products/extjs/. Accessed 2 June 2017.
Shrestha, R., Di, L., Eugene, G. Y., et al. (2017). Regression model to estimate flood impact on corn
yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture,
16, 398–407.
12 Spatial and Temporal Monitoring System for Agriculture
231