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trends, accuracy and biases. Natural Hazards, 67, 387–410.
USDM. (2017). United States drought monitor. http://droughtmonitor.unl.edu/. Accessed 12 June
2017.
VegScape. (2017). VegScape – Vegetation condition explorer. https://nassgeodata.gmu.edu/
VegScape/. Accessed 12 June 2017.
Villarini, G., & Smith, J. A. (2010). Flood peak distributions for the eastern United States.
Vretanos, P. A. (2010). OpenGIS Web Feature Service 2.0 Interface Standard. Open Geospatial
Consortium Specification, (pp. 04-094).
Western Governors Association. (2004). Creating a drought early warning system for the 21st
century: The National integrated drought information system.
Whiteside, A., & Evans, J. D. (2008). Web Coverage Service (WCS) Implementation Standard.
Wikipedia. (2017). 2011 Mississippi River floods. Wikipedia.
Wilhite, D. A. (1997). Responding to drought: Common threads from the past, visions for the
future1. Wiley Online Library.
Wilhite, D. A. (2016). Droughts: A global assesment. Routledge.
Yagci, A. L., Di, L., Deng, M., et al. (2012). Global agricultural drought mapping: Results for the
year 2011. In Geoscience and remote sensing symposium (IGARSS), 2012 IEEE international
(pp. 3764–3767). IEEE.
Yang, Z., Di, L., Yu, G., & Chen, Z. (2011). Vegetation condition indices for crop vegetation
condition monitoring. In Geoscience and remote sensing symposium (IGARSS), 2011 IEEE
international (pp. 3534–3537). IEEE.
Yang, Z., Yu, G., Di, L., et al. (2013). Web service-based vegetation condition monitoring systemvegscape. In Geoscience and remote sensing symposium (IGARSS), 2013 IEEE international
(pp. 3638–3641). IEEE.
Yang, Z., Hu, L., Yu, G., et al. (2016). Web service-based SMAP soil moisture data visualization,
dissemination and analytics based on vegscape framework. In Geoscience and remote sensing
symposium (IGARSS), 2016 IEEE international (pp. 3624–3627). IEEE.
Yu, G., Han, W., & Deng, M. (2010). A remote sensing-based global agricultural drought
monitoring and forecasting system for supporting GEOSS. In American Geophysical Union,
Fall Meeting 2010 abstracts.
Yu, G., Di, L., Zhang, B., et al. (2013). Remote-sensing-based flood damage estimation using crop
condition profiles. In Agro-Geoinformatics (Agro-Geoinformatics), 2013 second international
conference on (pp. 205–210). IEEE.
232
L. Hu and P. Yue