Chakraborty, S., Jabbar, Z., Subramanian, L., and Nyarko, Y., (2016). Satellite Image Analytics, Land Change and Food Security. ACM SIGKDD Workshop on Data Science for Food, Energy and Water (DSFEW), Co-located with KDD 2016, San Francisco, USA.
In this paper, we present the design of a satellite image analytics engine that we use to perform a detailed analysis of changes in agricultural land patterns over a 13-year time period (2000-2012) in West Bengal, India, traditionally considered one of the most fertile areas in the world.
Chakraborty, S., Dalton, S., Nyarko, Y., and Subramanian, L., (2012). Computing the Rate of Disappearance of Cropland Using Satellite Images. In Proceedings of the 3rd International Conference on Computational Sustainability, Denmark.
Apart from human-led development, changing climate is also leading towards a change in the land pattern. In both scenarios, a solution to the problem can be a monitoring tool, which can identify the change in land pattern over the years. In this paper, we present a tool that can monitor this change through satellite images.
Nyarko, Y. (2017). Transforming Rural Africa - Economics, Technology and Governance. Journal of African Development, 19(1), 160-167.
AFEA/ASSA Luncheon Speech
Chakraborty, S., Tong, T., Chen, J., Aman, A., Mufti, T., Nyarko, Y., & Subramanian, L. (2013). Experiences in Designing a Mobile GIS Mapping Tool for Rural Farmers in Ghana. Proceedings of the 4th Annual Symposium on Computing for Development, ACM, p. 28.
The task of balancing problems associated with population growth and food production has often been impaired by a lack of accurate information on food supply availability in any given region or time.