Di, L., Rundquist, D. C., & Han, L. (1994). Modeling relationships between NDVI and precipitation during vegetation growth cycles. International Journal of Remote Sensing, 15(10),
2121–2136.
Di, L., Eugene, G. Y., Kang, L., Shrestha, R., & Bai, Y. (2017). RF-CLASS: A remote-sensingbased flood crop loss assessment cyber-service system for supporting crop statistics and
insurance decision-making. Journal of Integrative Agriculture, 16(2), 408–423.
Dickinson, H., & Calkins, H. W. (1988). The economic evaluation of implementing a GIS.
International Journal of Geographical Information Systems, 2, 307–327.
Diepen, C. A., Wolf, J., Keulen, H., & Rappoldt, C. (1989). WOFOST: A simulation model of crop
production. Soil Use and Management, 5(1), 16–24.
Engel, B. A., Srinivasan, R., Arnold, J., Rewerts, C., & Brown, S. J. (1993). Nonpoint Source (NPS)
pollution modeling using models integrated with geographic information systems (GIS). Water
Science & Technology, 28(3–5), 685–690.
Fernandez, C. J., & Neal, T. T. (2007). Development of a web-based decision support system for
crop managers: structural considerations and implementation case. Agronomy Journal, 99(3),
730–737.
FitzHugh, T. W., & Mackay, D. S. (2000). Impacts of input parameter spatial aggregation on an
agricultural nonpoint source pollution model. Journal of Hydrology, 236(1–2), 35–53.
Gobin, A., Jone, R., Kirkby, M., Campling, P., Govers, G., Kosmas, C., & Gentile, A. R. (2004).
Indicators for Pan-European assessment and monitoring of soil erosion by water. Environmental
Science and Policy, 7, 25–38.
Gochis, D. J., Yu, W., & Yates, D. N. (2013). The WRF-Hydro model technical description and
user’s guide, version 1.0. NCAR Technical Document, 120. Boulder, CO: Research Applications Laboratory.
Goodchild, M. F. (1987). A spatial analytical perspective on GIS. International Journal of
Geographical Information Systems, 1, 327–334.
Goodchild, M. F. (1988). Towards an enumeration and classification of GIS functions. In R. T.
Aangeenbrug & Y. M. Schiffman (Eds.), International Geographic Information systems (IGIS)
Symposium: The research Agenda. Fall Church: AAG.
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.
Herrero, M., Gonzalez-Estrada, E., Thornton, P. K., Quiros, C., Waithaka, M. M., Ruiz, R., &
Hoogenboom, G. (2007). IMPACT: Generic household-level databases and diagnostics tools
for integrated crop-livestock systems analysis. Agricultural System, 92, 240–265.
Hutchinson, M. F., Nix, H. A., McMahon, J. P., & Ord, K. D. (1996). The development of a
topographic and climate database for Africa. In Proceedings, third international conference
integrating GIS and environment modeling. New Mexico.
INSPIRE. (2008). INSPIRE. Available at http://inspire.jrc.it.
Janssen, S., Andersen, E., Athanasiadis, I. N., & Ittersum, M. K. (2009). A database for integrated
assessment of European agriculture systems. Environmental Science & Policy, 12(5), 573–587.
Joshi, C., Leeuw, J. D., & Duren, I. C. V. (2004). Remote sensing and GIS applications for mapping
and spatial modeling of invasive species. In Proceeding of ISPRS (pp. 1–9). Hannover,
Germanny: ISPRS, MDPI
Kalita, P. K., Kanwar, R. S., & Bischoff, J. H. (1992). Using the ADAPT model to simulate water
table management effects in groundwater quality (ASAE Paper No. 92-2124). St. Joseph.
Kirkby, M. J., & Cox, N. J. (1995). A climatic index for soil erosion potential (CSEP) including
seasonal and vegetation factors. Catena, 25, 333–352.
Li, C., Frolking, S. E., & Frolking, T. A. (1992). A model of nitrous oxide evolution from soil
driven by rainfall events: 1. Model structure and sensitivity. Journal of Geophysical ResearchAtmospheres, 97, 9759–9776.
Lin, Z. H., Mo, X. G., & Xiang, Y. Q. (2003). Research advances on crop growth models. ACTA
Agronomica Sinica, 29(5), 750–758.
36
J. Tang
2121–2136.
Di, L., Eugene, G. Y., Kang, L., Shrestha, R., & Bai, Y. (2017). RF-CLASS: A remote-sensingbased flood crop loss assessment cyber-service system for supporting crop statistics and
insurance decision-making. Journal of Integrative Agriculture, 16(2), 408–423.
Dickinson, H., & Calkins, H. W. (1988). The economic evaluation of implementing a GIS.
International Journal of Geographical Information Systems, 2, 307–327.
Diepen, C. A., Wolf, J., Keulen, H., & Rappoldt, C. (1989). WOFOST: A simulation model of crop
production. Soil Use and Management, 5(1), 16–24.
Engel, B. A., Srinivasan, R., Arnold, J., Rewerts, C., & Brown, S. J. (1993). Nonpoint Source (NPS)
pollution modeling using models integrated with geographic information systems (GIS). Water
Science & Technology, 28(3–5), 685–690.
Fernandez, C. J., & Neal, T. T. (2007). Development of a web-based decision support system for
crop managers: structural considerations and implementation case. Agronomy Journal, 99(3),
730–737.
FitzHugh, T. W., & Mackay, D. S. (2000). Impacts of input parameter spatial aggregation on an
agricultural nonpoint source pollution model. Journal of Hydrology, 236(1–2), 35–53.
Gobin, A., Jone, R., Kirkby, M., Campling, P., Govers, G., Kosmas, C., & Gentile, A. R. (2004).
Indicators for Pan-European assessment and monitoring of soil erosion by water. Environmental
Science and Policy, 7, 25–38.
Gochis, D. J., Yu, W., & Yates, D. N. (2013). The WRF-Hydro model technical description and
user’s guide, version 1.0. NCAR Technical Document, 120. Boulder, CO: Research Applications Laboratory.
Goodchild, M. F. (1987). A spatial analytical perspective on GIS. International Journal of
Geographical Information Systems, 1, 327–334.
Goodchild, M. F. (1988). Towards an enumeration and classification of GIS functions. In R. T.
Aangeenbrug & Y. M. Schiffman (Eds.), International Geographic Information systems (IGIS)
Symposium: The research Agenda. Fall Church: AAG.
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.
Herrero, M., Gonzalez-Estrada, E., Thornton, P. K., Quiros, C., Waithaka, M. M., Ruiz, R., &
Hoogenboom, G. (2007). IMPACT: Generic household-level databases and diagnostics tools
for integrated crop-livestock systems analysis. Agricultural System, 92, 240–265.
Hutchinson, M. F., Nix, H. A., McMahon, J. P., & Ord, K. D. (1996). The development of a
topographic and climate database for Africa. In Proceedings, third international conference
integrating GIS and environment modeling. New Mexico.
INSPIRE. (2008). INSPIRE. Available at http://inspire.jrc.it.
Janssen, S., Andersen, E., Athanasiadis, I. N., & Ittersum, M. K. (2009). A database for integrated
assessment of European agriculture systems. Environmental Science & Policy, 12(5), 573–587.
Joshi, C., Leeuw, J. D., & Duren, I. C. V. (2004). Remote sensing and GIS applications for mapping
and spatial modeling of invasive species. In Proceeding of ISPRS (pp. 1–9). Hannover,
Germanny: ISPRS, MDPI
Kalita, P. K., Kanwar, R. S., & Bischoff, J. H. (1992). Using the ADAPT model to simulate water
table management effects in groundwater quality (ASAE Paper No. 92-2124). St. Joseph.
Kirkby, M. J., & Cox, N. J. (1995). A climatic index for soil erosion potential (CSEP) including
seasonal and vegetation factors. Catena, 25, 333–352.
Li, C., Frolking, S. E., & Frolking, T. A. (1992). A model of nitrous oxide evolution from soil
driven by rainfall events: 1. Model structure and sensitivity. Journal of Geophysical ResearchAtmospheres, 97, 9759–9776.
Lin, Z. H., Mo, X. G., & Xiang, Y. Q. (2003). Research advances on crop growth models. ACTA
Agronomica Sinica, 29(5), 750–758.
36
J. Tang