TY - GEN
T1 - Online parameterization for WOFOST for United States using open geospatial standards
AU - Yu, Eugene G.
AU - Di, Liping
AU - Kang, Lingjun
AU - Shrestha, Ranjay
AU - Rahman, Md Shahinoor
AU - Lin, Li
AU - Deng, Meixia
AU - Yang, Zhengwei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/26
Y1 - 2016/9/26
N2 - WOFOST (WOrld FOod STudies) is a well-known, widely applied simulation model to analyze quantitatively the growth and production annual field crops that was originally developed for crops in European countries. It is the base model for Monitoring Agricultural ResourceS (MARS) Crop Growth Monitoring System (CGMS) in operational use for yield estimation in European Union. The model is of great potential in providing effective modeling of crops in the United States. The first step to adopt the model to be fit for applications to crop modeling in the US is to provide required parameters at any region and any time in the United States. In this study, several data sources have been identified and enabled to be readily fed into the models through standard, open, automatic, Web-based, online geospatial Web services. These Web services have the flexibility of accessing, re-processing, and customization to the models at different levels-from regional (i.e. counties, agricultural statistic districts) modeling to point (i.e. pixel) modeling because of their spatiotemporal capabilities. Three major data sources and parameters for WOFOST model are meteorological data, crop data, and soil data. Soil data are accessed and customized through standard Web Feature Service (WFS) request to the online services of Soil Survey Geographic Database (SSURGO). Crop data are retrieved from Web Coverage Service (WCS) from CropScape that serves Cropland Data Layer (CDL). Assimilated data from ground observations provide meteorological observations. Meteorological observations are retrieved online through public service application programming interface (API) of DayMet that provide gridded estimates of daily weather parameters for North America, including daily continuous surfaces of minimum and maximum temperature, precipitation occurrence and amount, humidity, shortwave radiation, snow water equivalent, and day length. Workflow is enabled to support the on-demand customization and live feeding to WOFOST modeling. The services enable the parameterization process in WOFOST modeling.
AB - WOFOST (WOrld FOod STudies) is a well-known, widely applied simulation model to analyze quantitatively the growth and production annual field crops that was originally developed for crops in European countries. It is the base model for Monitoring Agricultural ResourceS (MARS) Crop Growth Monitoring System (CGMS) in operational use for yield estimation in European Union. The model is of great potential in providing effective modeling of crops in the United States. The first step to adopt the model to be fit for applications to crop modeling in the US is to provide required parameters at any region and any time in the United States. In this study, several data sources have been identified and enabled to be readily fed into the models through standard, open, automatic, Web-based, online geospatial Web services. These Web services have the flexibility of accessing, re-processing, and customization to the models at different levels-from regional (i.e. counties, agricultural statistic districts) modeling to point (i.e. pixel) modeling because of their spatiotemporal capabilities. Three major data sources and parameters for WOFOST model are meteorological data, crop data, and soil data. Soil data are accessed and customized through standard Web Feature Service (WFS) request to the online services of Soil Survey Geographic Database (SSURGO). Crop data are retrieved from Web Coverage Service (WCS) from CropScape that serves Cropland Data Layer (CDL). Assimilated data from ground observations provide meteorological observations. Meteorological observations are retrieved online through public service application programming interface (API) of DayMet that provide gridded estimates of daily weather parameters for North America, including daily continuous surfaces of minimum and maximum temperature, precipitation occurrence and amount, humidity, shortwave radiation, snow water equivalent, and day length. Workflow is enabled to support the on-demand customization and live feeding to WOFOST modeling. The services enable the parameterization process in WOFOST modeling.
KW - CDL
KW - crop growth model
KW - CropScape
KW - Daymet
KW - model parameterization
KW - open geospatial Web services
KW - SSURGO
KW - WCS
KW - WFS
KW - WOFOST
UR - http://www.scopus.com/inward/record.url?scp=84994181555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994181555&partnerID=8YFLogxK
U2 - 10.1109/Agro-Geoinformatics.2016.7577658
DO - 10.1109/Agro-Geoinformatics.2016.7577658
M3 - Conference contribution
AN - SCOPUS:84994181555
T3 - 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
BT - 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
Y2 - 18 July 2016 through 20 July 2016
ER -