The United Nations Office on Drugs and Crime estimates opium poppy cultivation in Afghanistan has increased by 63 % since 2016. The spatial distribution of opium cultivation is constantly evolving due to varying environmental, social and economic pressures. The volume and variety of Earth observation data provides opportunities for agricultural dynamics associated with opium poppy to be extracted from legacy time-series datasets across Afghanistan. The aim of this project is to derive information about seasonal and annual changes in opium poppy cultivation using Earth observation Big Data analytics. This project will also take advantage of emerging cloud technologies for timely image processing of associated vegetation dynamics.
- Hamer AM, Simms DM & Waine TW (2021) Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network, International Journal of Remote Sensing, 42 (8) 3017-3038. Dataset/s: 10.17862/cranfield.rd.13228634
- Simms DM (2020) Fully convolutional neural nets in-the-wild, Remote Sensing Letters, 11 (12) 1080-1089.