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Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification

Project Outputs

Presentations and Publications 

Geospatial and Farming Systems Research Consortium 
2016
  • Hijmans, Robert. (2016, September 7) 2016 CGIAR-CSI & Partners Meeting

2017
  • Beal et al, T. (2017). Global trends in dietary micronutrient supplies and estimated prevalence of inadequate intakes (pp.1-20). PLoS ONE, 12(4), San Francisco, California; Cambridge, UK. doi: https://doi.org/10.1371/journal.pone.0175554. 

  • Fick, S. E. & Hijmans, R. (2017). WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas (pp.1-14). International Journal of Climatology, 00, Wiley Online. doi: http://dx.doi.org/10.1002/joc.5086. 

  • Ghosh, A., Mandel, A., & Hijmans, R. (2017). Developing scalable information extraction processing pipelines using R for earth observation applications. FOSS4G, Boston, United States of America.

  • Ghosh, A., Mandel, A., & Hijmans, R. (2017). Spatial data analysis and modeling for agricultural development. USAID Workshop on Innovation for Data-Driven Agriculture, Boulder, United States of America.

  • Mandel, A., Hijmans, R., & Ghosh, A. (2017). Rspatial.org, tutorials for learning Spatial R. FOSS4G, Boston, United States of America.

  • Shew, A. & Ghosh, A. (2017). Using multi-temporal remote sensing data to understand the spatio-temporal patterns of dry season rice production in Bangladesh. 
    • Presentation: 2nd International Symposium on Spatiotemporal Computing, Boston, United States of America. 
    • Publication: ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W2, 61-68, https://doi.org/10.5194/isprs-annals-IV-4-W2-61-2017, 2017

  • Tiedeman, K., Ghosh, A., & Hijmans, R. (2017). Agricultural expansion and reserve connectivity in Tanzania. ESA 2017 Meeting, Portland, United States of America.  
2018
  • Azzari, A., et al. (2018). Smallholder maize area and yield mapping at national scales with Google Earth Engine. Remote Sensing of Environment (In Press)

  • Fraval, S., et al. (2018). Pathways to food security in rural Burkina Faso: importance of consumption of agricultural produce versus food purchases. Food Security (In Press).

  • Fraval, S., et al. (2018). Making the most of imperfect data: a critical evaluation of standard information collected in cross-sectional farm household surveys. Experimental Agriculture (In Press).

  • Cedrez, C.B., Hijmans, R. (2018). Methods for spatial prediction of crop yield potential (pp.19). Agronomy Journal 110(6), 2322-2330. doi:10.2134/agronj2017.11.0664

  • Shew, S., et al. (2018). Rice Intensification in Bangladesh Improves Economic and Environmental Welfare. Environmental Science and Policy (In Press).

  • Stirling, C.M., et al. (2018). Household methodologies to reduce gender inequality and increase household resilience to climate and other shocks: a case study from Malawi. Climate Change (In Press). 
GFC Subaward I
2017
  • Jin, Z., Azzari, G., Burke, M., Aston, S., & Lobell, D. (2017). Mapping smallholder yield heterogeneity at multiple scales in Eastern Africa (pp.1-15). Remote Sensing, 9(9), Basel, Switzerland. http://dx.doi.org/10.3390/rs9090931  
2018
  • Azzari G, Jin Z, You C, Di Tommaso S, Aston S, Burke M, Lobell DB. Smallholder maize area and yield mapping at national scales with Google Earth Engine. Remote Sensing of Environment (in review).

  • Jin, Z., Azzari, G., Burke, M., Aston, S., Lobell, D. (2017). Mapping smallholder yield heterogeneity at multiple scales in Eastern Africa (pp.1-15). Remote Sensing, 9(9), Basel, Switzerland. http://dx.doi.org/10.3390/rs9090931 
GFC Subaward II
2017
  • Notenbaert, AMO., Mutua, J., Girvetz, E. (2017). Spatial targeting of agricultural intensification investments: The use of spatial data for targeting SI investments. Arusha, TZ. International Center for Tropical Agriculture (CIAT). 28 p. http://hdl.handle.net/10568/80645 
2018
  • Notenbaert, A. (2018) Final Technical Report: Agreement No. 201403286-01 Spatial Targeting Agricultural Sustainable Intensification Investments: Linking Household Surveys with Spatial Data In Africa 

  • Notenbaert, A., Mutua, J., Girvetz, E. (2017). Spatial targeting of agricultural intensification investments: The use of spatial data for targeting SI investments. Arusha, TZ. International Center for Tropical Agriculture (CIAT). 28 p. http://hdl.handle.net/10568/80645. 
GFC Subaward III
2018
  • Guo, Z. and Jawoo, K. (2017) IFPRI Technical Report: Accessibility and Price Mapping in Tanzania. All datasets developed from these activities are available to download here: https://www.dropbox.com/sh/iyc9x1rmxx9xhkv/AACTSHLb39108AjsUX6j__WHa?dl=0 
GFC Subaward IV
2018
  • Nelson, A. (2017). Technical Report: Title Generating cropland extent of Ethiopia by capturing field boundaries from high resolution imagery. Agreement No 201403286-05 
GFC Subaward V
2017
  • Fraval et al. Making the most of imperfect data: a critical evaluation of standard information collected in cross-sectional farm household surveys. Experimental Agriculture (In review).

  • Fraval et al. Pathways to food security in rural Burkina Faso: importance of consumption of agricultural produce versus food purchases. Food Security (In review). 

  • Hammond et al. (2017). Farm types and farmer motivations to adapt: Implications for design of sustainable agricultural interventions in the rubber plantations of South West China (pp.112). Agricultural Systems, 154, Elsevier. doi: https://doi.org/10.1016/j.agsy.2017.02.009.

  • Hammond et al. (2016). The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central America(pp.225-233). Agricultural Systems, 151, Elsevier. doi: https://doi.org/10.1016/j.agsy.2016.05.003.

  • van Etten, J., Steinke, J., & van Wijk, M. (2017). How can the data revolution contribute to climate action in smallholder agriculture?(pp.44-48). Agriculture for Development, 30, CGIAR. http://hdl.handle.net/10568/81375.
2018
  • Fraval et al. (2018) Making the most of imperfect data: a critical evaluation of standard information collected in cross-sectional farm household surveys. Experimental Agriculture (In Press).

  • Fraval et al. (2018) Pathways to food security in rural Burkina Faso: importance of consumption of agricultural produce versus food purchases. Food Security (44-48). Agriculture for Development, 30, CGIAR. http://hdl.handle.net/10568/81375. 
GFC Subaward VI

None to report 

GFC Subaward VII
2018
  • Faye A., Stewart Z.P., and Prasad P.V.V. (2018). Closing Senegal’s millet yield gap through sitespecific fertilizer and plant population recommendations modeled across precipitation and soil fertility gradients. International Sustainable Agricultural Intensification and Nutrition Conference. Phnom Penh, Cambodia. 
GFC Subaward VIII

None to report 

Videos 

Blogs