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Sui, D., & Goodchild, M. (2011). The convergence of GIS and social media: Challenges for
GIScience. International Journal of Geographical Information Science, 25(11), 1737–1748.
Tang, J. (2015). Dynamic linkages between vegetation phenology and seasonal changes in water
quality in the Choptank Watershed, USA. International Journal of Remote Sensing, 36(12),
3041–3057.
Trincheria, J. D., Craufurd, P., Harris, D., Mannke, F., Nyamangara, J., Rao, K. P. C., & Filho,
W. L. (2015). Adapting agriculture to climate change by developing promising strategies using
analogue locations in Eastern and Southern Africa: A systematic approach to develop practical
solution. In W. L. Filho et al. (Eds.), Adapting African agriculture to climate change. Cham:
Springer International Publishing.
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Van Ittersum, M. K., & Donatelli, M. (2003). Special issue of European Journal of Agronomy:
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Wade, G., Mueller, R., Cook, P., & Doralswamy, P. (1994). AVHRR map products for crop
condition assessment: a geographic information system approach. Photogrammetric Engineering and Remote Sensing, 60, 1145–1150.
Wang, X., & Melesse, A. M. (2006). Effects of STATSGO and SSURGO as inputs on SWAT
models snowmelt simulation. Journal of the American Water Resources Association, 121,
1217–1236.
Weygandt, S. S., Smirnova, T. G., Benjamin, S. G., Brundage, K. J., Sahm, S. R., Alexander, C. R.,
& Schwartz, B. E. (2009, June). The High Resolution Rapid Refresh (HRRR): An hourly
updated convection resolving model utilizing radar reflectivity assimilation from the
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on numerical weather prediction (Vol. 15). Omaha: American Meteorological Society A.
Williams, J. R., Jones, C. A., & Dyke, P. T. (1983). A modeling approach to determine the relation
between erosion and soil productivity. Transactions of the American society of Agricultural
Engineers, 27, 129–144.
Wilson, J. P. (1999). Local, national, and global applications of GIS in agriculture. In P. A. Longley,
M. F. Goodchild, D. J. Maguire, & D. W. Rhind (Eds.), Geographical information systems:
Principles and technical issues. New York: Wiley.
Wilson, J. P., Inskeep, W. P., Rubright, P. R., Cooksey, D., Jacobsen, J. S., & Snyder, R. D. (1993).
Coupling geographic information systems and models for weed control and ground-water
protection. Weed Technology, 7, 255–264.
Wratt, D. S., Tait, A., Griffiths, G., Espie, P., Jessen, M., Keys, J., et al. (2006). Climate for crops:
Integrating climate data with information about soils and crop requirements to reduce risks in
agricultural decision-making. Meteorological Application, 13, 305–315.
Xie, H., Chen, L., & Shen, Z. (2015). Assessment of agricultural best management practice using
models: current issues and future perspectives. Water, 7(3), 1088–1108.
Yagci, A. L., Di, L., Deng, M., Yu, G., & Peng, C. (2011). Global agricultural drought mapping:
results for the year 2011. IGRASS, July 2012.
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J. Tang
precision agriculture. In National seminar on “Precision farming technologies for high
Himalayas”, India. https://doi.org/10.13140/RG.2.1.2221.3368.
Steyaert, L. T. (1996). Status of land data for environmental modeling and challenges for geographic information systems in land characterization. In M. F. Goodchild, L. T. Steyaert, B. O.
Parks, C. Johnston, D. Maidment, M. Crane, & S. Glendinning (Eds.), GIS and environmental
modeling: Progress and research issues. Canada: Wiley.
Sui, D., & Goodchild, M. (2011). The convergence of GIS and social media: Challenges for
GIScience. International Journal of Geographical Information Science, 25(11), 1737–1748.
Tang, J. (2015). Dynamic linkages between vegetation phenology and seasonal changes in water
quality in the Choptank Watershed, USA. International Journal of Remote Sensing, 36(12),
3041–3057.
Trincheria, J. D., Craufurd, P., Harris, D., Mannke, F., Nyamangara, J., Rao, K. P. C., & Filho,
W. L. (2015). Adapting agriculture to climate change by developing promising strategies using
analogue locations in Eastern and Southern Africa: A systematic approach to develop practical
solution. In W. L. Filho et al. (Eds.), Adapting African agriculture to climate change. Cham:
Springer International Publishing.
USDA. (1994). National soil characterization data. Soil Survey Laboratory, National Soil Survey
Center, Soil Conservation Service, Lincoln, Nebraska.
USDA-NRCS (U.S. Department of Agriculture-Natural Resources Conservation Service). (1995).
Soil survey geographic (SSURGO) data base: Data use information. Fort Worth: National
Cartography and GIS Center.
Van Ittersum, M. K., & Donatelli, M. (2003). Special issue of European Journal of Agronomy:
Modeling cropping systems. European Journal of Agronomy, 18(3–4), 187–194.
Wade, G., Mueller, R., Cook, P., & Doralswamy, P. (1994). AVHRR map products for crop
condition assessment: a geographic information system approach. Photogrammetric Engineering and Remote Sensing, 60, 1145–1150.
Wang, X., & Melesse, A. M. (2006). Effects of STATSGO and SSURGO as inputs on SWAT
models snowmelt simulation. Journal of the American Water Resources Association, 121,
1217–1236.
Weygandt, S. S., Smirnova, T. G., Benjamin, S. G., Brundage, K. J., Sahm, S. R., Alexander, C. R.,
& Schwartz, B. E. (2009, June). The High Resolution Rapid Refresh (HRRR): An hourly
updated convection resolving model utilizing radar reflectivity assimilation from the
RUC/RR. In Preprints, 23rd conference on weather analysis and forecasting/19th conference
on numerical weather prediction (Vol. 15). Omaha: American Meteorological Society A.
Williams, J. R., Jones, C. A., & Dyke, P. T. (1983). A modeling approach to determine the relation
between erosion and soil productivity. Transactions of the American society of Agricultural
Engineers, 27, 129–144.
Wilson, J. P. (1999). Local, national, and global applications of GIS in agriculture. In P. A. Longley,
M. F. Goodchild, D. J. Maguire, & D. W. Rhind (Eds.), Geographical information systems:
Principles and technical issues. New York: Wiley.
Wilson, J. P., Inskeep, W. P., Rubright, P. R., Cooksey, D., Jacobsen, J. S., & Snyder, R. D. (1993).
Coupling geographic information systems and models for weed control and ground-water
protection. Weed Technology, 7, 255–264.
Wratt, D. S., Tait, A., Griffiths, G., Espie, P., Jessen, M., Keys, J., et al. (2006). Climate for crops:
Integrating climate data with information about soils and crop requirements to reduce risks in
agricultural decision-making. Meteorological Application, 13, 305–315.
Xie, H., Chen, L., & Shen, Z. (2015). Assessment of agricultural best management practice using
models: current issues and future perspectives. Water, 7(3), 1088–1108.
Yagci, A. L., Di, L., Deng, M., Yu, G., & Peng, C. (2011). Global agricultural drought mapping:
results for the year 2011. IGRASS, July 2012.
38
J. Tang