Bahram Daneshfar
Application of quantitative and Earth Observation-based methods in agricultural monitoring
Key publications
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Mardian, J., Berg, A., Daneshfar, B. (2021). Evaluating the temporal accuracy of grassland to cropland change detection using multitemporal image analysis, 255 http://dx.doi.org/10.1016/j.rse.2021.112292
2021 - View publication details
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Arcand, Y., Bittman, S., Britten, M., Champagne, C., Daneshfar, B., David, S., Davidson, A., Derdall, E. Drury, C., Eden, J., Handyside, P., Hung, Y., Javorek, S., Jiang, Y., Jingui, Y., Jordan, C., Joosse, P., Li, S., McAuley, E., McNairn, H., MacDonald, D., Pacheco, A., Powers, J., Reid, K., Smith, E. L., Topp, E., Vanrobaeys, J., Villeneuve, S., Wilson, H., Yang, J. Agricultural Land Use. Synthesis of Science. Canada Water Agency Report. Freshwater Science Assessment-Line of Inquiry. Nov. 20, 2020.
2020 - View publication details
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Global Strategy to improve Agricultural and Rural Statistics (GSARS). 2017. Handbook on Remote Sensing for Agricultural Statistics. GSARS Handbook: Rome.
Davidson, A.M., Fisette, T., Mcnairn, H. & Daneshfar, B. 2017. Detailed crop mapping using remote sensing data (Crop Data Layers). In: J. Delincé (ed.), Handbook on Remote Sensing for Agricultural Statistics (Chapter 4). Handbook of the Global Strategy to improve Agricultural and Rural Statistics (GSARS): Rome.
2017 - View publication details
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Dong, T., Liu, J., Shang, J., Qian, B., Huffman, T., Zhang, Y., Champagne, C., Daneshfar, B. (2016). Assessing the impact of climate variability on cropland productivity in the Canadian Prairies using time series MODIS FAPAR, 8(4), http://dx.doi.org/10.3390/rs8040281
2016 - View publication details
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Chipanshi, A., Zhang, Y., Kouadio, L., Newlands, N., Davidson, A., Hill, H., Warren, R., Qian, B., Daneshfar, B., Bedard, F., Reichert, G. (2015). Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape, 206 137-150. http://dx.doi.org/10.1016/j.agrformet.2015.03.007
2015 - View publication details
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Qiao, C., Wang, J., Shang, J., Daneshfar, B. (2015). Spatial relationship-assisted classification from high-resolution remote sensing imagery, 8(9), 710-726. http://dx.doi.org/10.1080/17538947.2014.925517
2015 - View publication details
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Liu, H., Huffman, T., Liu, J., Li, Z., Daneshfar, B., Zhang, X. (2015). Integration of multi-disciplinary geospatial data for delineating agroecosystem uniform management zones, 187(1), 1-17. http://dx.doi.org/10.1007/s10661-014-4102-1
2015 - View publication details
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Du, Y., Huffman, T., Daneshfar, B., Green, M., Feng, F., Liu, J., Liu, T., Liu, H. (2015). Improving the spatial resolution and ecostratification of crop yield estimates in Canada, 95(3), 287-297. http://dx.doi.org/10.4141/CJSS-2014-017
2015 - View publication details
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Champagne, C., McNairn, H., Daneshfar, B., Shang, J. (2014). A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada, 29(1), 44-52. http://dx.doi.org/10.1016/j.jag.2013.12.016
2014 - View publication details