APEC (Asia-Pacific Economic Cooperation). 2009. Guidelines and Best Practices for Post-Disaster Damage and Loss Assessment. APEC Workshop on Damage Assessment Techniques, Yogyakarta, Indonesia. p. 48.APFM (Associated Programme on Flood Management). 2013. Conducting Flood Loss Assessments. Integrated Flood Management Tools Series. Issue 2, June 2013. World Meteorological Organization, Geneva, Swtitzland.Auynirundronkool K, Chen N, Peng C, Yang C, Gong J, Silapathong C. 2012. Flood detection and mapping of the Thailand Central Plain using RADARSAT and MODIS under a sensor web environment. International Journal of Applied Earth Observation and Geoinformation, 14, 245–255. Baumann B. 2010. OGC® WCS 2.0 Interface Standard - Core, OpenGIS® Interface Standard OGC 09-110r3. Open Geospatial Consortium, Wayland, MA, USA.Bhanumurthy V, Behera G. 2008. Deliverables from space data sets for disaster management present and future trends. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 263–270.Boryan C, Yang Z, Di L. 2012. Deriving 2011 cultivated land cover data sets using USDA national agricultural statistics service historic cropland data layers. In: Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, Piscataway, NJ, USA. pp. 6297–6300.Boryan C, Yang Z, Mueller R, Craig M. 2011. Monitoring US agriculture: The US department of agriculture, national agricultural statistics service, cropland data layer program. Geocarto International, 26, 341–358.Botts M, Robin A. 2007. OpenGIS® Sensor Model Language (SensorML) Implementation Specification, OpenGIS® Implementation Standard OGC® 07-000. Open Geospatial Consortium, Wayland, MA, USA.Brakenridge R, Anderson E. 2006. MODIS-based flood detection, mapping and measurement: The potential for operational hydrological applications. In: Marsalek J, Stancalie G, Balint G, eds., Transboundary Floods: Reducing Risks Through Flood Management. Springer, Dordrecht, The Netherlands. pp. 1–12.Brody S D, Highfield W E, Blessing R. 2015. An analysis of the effects of land use and land cover on flood losses along the gulf of Mexico coast from 1999 to 2009. Journal of the American Water Resources Association, 51, 1556–1567.Brown S, Gerlt S, Wilcox L. 2011. The Value of the 2011 Crop Production Loss from the Birds Point - New Madrid Floodway Levee Breach, Technical Report FAPRI-MU Report #06-11. Food and Agricultural Policy Research Institute, University of Missouri, Columbia, MO, USA.Cartwright L. 2005. An Examination of flood damage data trends in the United States. Journal of Contemporary Water Research & Education, 130, 20–25.Cox S. 2010. Geographic Information: Observations and Measurements OGC Abstract Specification Topic 20, OpenGIS® Abstract Specification OGC 10-004r3 and ISO 19156. Open Geospatial Consortium, Wayland, MA, USA.Cox S. 2011. Observations and Measurements - XML Implementation, OGC® Implementation OGC 10-025r1. Open Geospatial Consortium, Wayland, MA, USA.Di L. 2005. Customizable virtual geospatial products at web/grid service environment. In: Proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium, Seoul. IEEE, Piscataway, NJ, USA. pp. 4215–4218.Di L. 2004. GeoBrain - A web services based geospatial knowledge building system. In: Proceedings of NASA Earth Science Technology Conference 2004. Earth Scienct Technology Office, NASA, Greenbelt, MD, USA. pp. 1–8.Di L. 2006. The open GIS web service specifications for interoperable access and services of NASA EOS Data. In: Qu J J, Gao W, Kafatos M, Murphy R E, Salomonson V V, eds., Earth Science Satellite Remote Sensing. Springer Berlin Heidelberg. pp. 220–232.Di L, Zhao P, Han W, Li X, Deng M. 2009. The implementation of geospatial web services and workflows in geobrain. In: Proceedings of 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Piscataway, NJ, USA.FSA (Farm Service Agency). 2012. Common land unit (CLU) information sheet. USDA Farm Service Agency, Washington DC, USA. [2016-2-26]. http://www.fsa.usda.gov/Internet/FSA_File/clu__infosheet_2012.pdfGasperi J. 2010. OpenGIS Geography Markup Language (GML) Application Schema for Earth Observation Products, OpenGIS® Implementation Standard 0GC 06-080r4. Open Geospatial Consortium, Wayland, MA, USA.Goddard S, Zhang S, Waltman W J, Lytle D, Anthony S. 2002. A software architecture for distributed geospatial decision support systems. In: Proceedings of the 2002 Annual National Conference on Digital Government Research. Association for Computing Machinery, New York, NY, USA. pp. 1–7.Hagemark B, Martell R, Parr-Pearson J, Wilson T. 2008. OGC KML 2.2 – Abstract Test Suite, Abstract Test Suite OGC 07-134r2. Open Geospatial Consortium, Wayland, MA, USA.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.Havens S. 2007. OpenGIS® Transducer Markup Language (TML) Implementation Specification, OpenGIS® Implementation Specification OGC 06-010r6. Open Geospatial Consortium, Wayland, MA, USA.Horrigan J. 2011. Times-Herald Record. [2016-2-23]. http://www.recordonline.com/apps/pbcs.dll/article?AID=/20110919/NEWS/109190329/-1/NEWSHoubie F, Bigagli L. 2010. OGC® Catalogue Services Standard 2.0 Extension Package for ebRIM Application Profile: Earth Observation Products, OpenGIS® Implementation Standard OGC 06-131r6. Open Geospatial Consortium, Wayland, MA, USA.Ingram J. 1996. Lessons taught by floods in the United States of America. In: River Flood Disasters: ICSU SC/IDNDR Workshop, Koblenz, Germany, 1996. Bundesanst, für Gewässerkunde, IHP/OHP-Sekretariat. ISO. 2014. ISO 19115-1:2014 Geographic information- Metadata -Part 1: Fundamentals. International Organization for Standardization, Geneva, Switzerland. [2016-2-26]. http://www.iso.org/iso/home/store/catalogue_ics/catalogue_detail_ics.htm?csnumber=53798ISO. 2009. ISO 19115-2:2009 Geographic information -Metadata -Part 2: Extensions for imagery and gridded data. International Organization for Standardization. Geneva, Switzerland. [2016-2-26]. http://www.iso.org/iso/catalogue_detail.htm?csnumber=39229Kleuskens M, Westerhoff R, Huizinga J. 2011. Operational rapid flood mapping: A pilot study in the mekong area. In: Proceedings of 34th International Symposium on Remote Sensing of Environment, Sydney, Australia, 10–15 April 2011, Sydney, Australia. International Center for Remote Sensing of Environment, Tucson, AZ, USA.Lesage N. 2007. OGC® Cataloguing of ISO Metadata (CIM) Using the ebRIM Profile of CS-W, OGC® Discussion Paper OGC 07-038. Open Geospatial Consortium, Wayland, MA, USA.Lotsch A, Dick W, Manuamorn O P. 2010. Assessment of Innovative Approaches for Flood Risk Management and Financing in Agriculture. The World Bank, Washington, D.C., USA.Martell R, Parr-Pearson J. 2008. CSW-ebRIM Registry Service – Part 3: Abstract Test Suite, Abstract Test Suite OGC 08-103r2. Open Geospatial Consortium, Wayland, MA, USA.Merz B, Kreibich H, Schwarze R, Thieken A. 2010. Review article: Assessment of economic flood damage. Natural Hazards and Earth System Sciences, 10, 1697–1724.de MOEL H, Aerts J C. 2011. Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates. Natural Hazards, 58, 407–425.Na A, Priest M. 2007. Sensor Observation Service, OpenGIS® Implementation Standard OGC 06-009r6, 2007. Open Geospatial Consortium, Wayland, MA, USA.Nebert D, Whiteside A, Vretanos P. 2007. OpenGIS® Catalogue Services Specification, OpenGIS® Implementation Specification OGC 07-006r1. Open Geospatial Consortium, Wayland, MA, USA.Nigro J, Slayback D, Policelli F, Brakenridge G R. 2014. NASA/DFO MODIS near real-time (NRT) global flood mapping product evaluation of flood and permanent water detection. [2016-2-25]. http://oas.gsfc.nasa.gov/floodmap/documents/NASAGlobalNRTEvaluationSummary_v4.pdf Olson K R, Morton L W. 2013. Restoration of 2011 flood-damaged birds point-new madrid floodway. Journal of Soil and Water Conservation, 68, 13A–18A.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.Pielke Jr R A, Downton M W, Miller J Z B. 2002. Flood Damage in the United States, 1926–2000: A Reanalysis of National Weather Service Estimates. UCAR, Boulder, CO, USA.Purdue University. 2016. Crop damage by excessive rain, ponding, and floods. [2016-2-23]. http://www.agry.purdue.edu/ext/corn/cafe/flood/index.html Schut P. 2009. Corrigendum for OpenGIS Implementation Standard Web Processing Service (WPS) 1.0.0, OpenGIS® IS Corrigendum OGC 08-091r6. Open Geospatial Consortium, Wayland, MA, USA.Schut P. 2007. OpenGIS® Web Processing Service, OpenGIS® Standard OGC 05-007r7. Open Geospatial Consortium, Wayland, MA, USA.Shrestha R, Di L, Yu E G, Kang L, Shao Y, Bai Y. 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.Shrestha R, Di L, Yu G, Shao Y, Kang L, Zhang B. 2013. Detection of flood and its impact on crops using NDVI - Corn case. In: Proceedings of 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, Piscataway, NJ, USA. pp. 200–204. Shan J, Hussain E, Kim K, Biehl L. 2010a. Flood mapping and damage assessment- A case study in the State of Indiana. In: Li D, Shan J, Gong J. eds., Geospatial Technology for Earth Observation. Springer US, Boston, MA, USA. pp. 473–495.Shan J, Hussain E, Kim K, Biehl L. 2010b. Flood mapping with satellite images and its web service. Photogrammetric Engineering & Remote Sensing, 76, 102–105.Smith A B, Katz RW. 2013. US billion-dollar weather and climate disasters: Data sources, trends, accuracy and biases. Natural Hazards, 67, 387–410.Suro T P, Roland, M A, Kiah R G. 2015. Flooding in the Northeastern United States. U.S. Geological Survey, Reston, Virgina, USA. p. 32. Tapia-Silva F O, Itzerott S, Foerster S, Kuhlmann B, Kreibich H. 2011. Estimation of flood losses to agricultural crops using remote sensing. Physics and Chemistry of the Earth, Parts A/B/C, 36, 253–265.USACE (U.S. Army Corps of Engineers). 2008. HEC-FDA Flood Damage Reduction Analysis: User’S Manual CPD-72. Hydrologic Engineering Center, Institute for Water Resources, US Arym Corps of Engineers, Davis, California, USA.Vretanos P. 2010. OpenGIS Web Feature Service 2.0 Interface Standard, OpenGIS® Interface Standard OGC 09-110r3. Open Geospatial Consortium, Wayland, MA, USA.Westerhoff R, Huizinga J, Kleuskens M, Burren R, Casey S. 2010. Operational satellite based flood mapping using the Delft-FEWS System. In: Lacoste-Francis H, ed., Proceedings of the ESA Living Planet Symposium. ISBN 978-92-9221-250-6. ESA SP-686. pp. 1–6.Wilson T. 2008. OGC® KML, OpenGIS® Standard OGC 07-147r2. Open Geospatial Consortium, Wayland, MA, USA.Wobus C, Lawson M, Jones R, Smith J, Martinich J. 2014. Estimating monetary damages from flooding in the United States under a changing climate. Journal of Flood Risk Management, 7, 217–229.Yang Z, Di L, Yu G, Chen Z. 2011. Vegetation condition indices for crop vegetation condition monitoring. In: 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, Piscataway, NJ, USA. pp. 3534–3537.Yu G, Di L, Yang Z, Chen Z, Zhang Z. 2012. Crop condition assessment using high temporal resolution satellite images. In: Proceedings of 2012 First International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, Piscataway, NJ, USA. pp. 1–6.Yu G, Di L, Zhang B, Shao Y, Shrestha R, Kang L. 2013. Remote-sensing-based flood damage estimation using crop condition profiles. In: Proceedings of 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, Piscataway, NJ, USA. pp. 205–210. Zhang B, Di L, Yu G, Shao Y, Shrestha R, Kang L. 2013. A Web service based application serving vegetation condition indices for flood crop loss assessment. In: Proceedings of 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, Piscataway, NJ, USA. pp. 215–220. |