The use of cloud based imagery services for understanding landscape change in support of opium monitoring in Afghanistan
The use of cloud based imagery services for understanding landscape change in support of opium monitoring in Afghanistan
批准号:
1948488
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
Information on illicit poppy cultivation in Afghanistan is of critical importance to the opium monitoring programme of the United Nations Office on Drugs and Crime (UNODC). The pattern of cultivation is constantly evolving because of environmental pressures, such as water availability, and social and economic drivers related to counter narcotics activity. Remote sensing already plays a key role in gathering information on the area of opium cultivation and its spatial distribution. The shift to cloud computing opens up exciting possibilities for extracting new information from the huge amounts of satellite data from long-term earth observation programmes. You will test the hypothesis that inter-annual and intra-seasonal changes in vegetation growth cycles are predictors of poppy cultivation risk. This will involve using emerging cloud based technologies for processing image data into accurate and timely information on vegetation dynamics relating to opium cultivation.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/01431161.2020.1864059
发表时间:
2021-04-18
期刊:
INTERNATIONAL JOURNAL OF REMOTE SENSING
影响因子:
3.4
作者:
[Hamer, A. M., Simms, D. M., Waine, T. W.]
通讯作者:
Waine, T. W.
Using deep learning to transfer knowledge between satellite datasets for automated agricultural land discrimination in Afghanistan
利用深度学习在卫星数据集之间传输知识,以实现阿富汗自动农业土地歧视
DOI:
10.5194/egusphere-egu2020-9243
发表时间:
2020
期刊:
影响因子:
--
作者:
[Hamer A]
通讯作者:
Hamer A
海外基金