Integrated with multi-source Earth Observation data, e.g. meteorological data, field data, and remote sensing data (such as GF series in China, MODIS and Landsat series in US, Sentinel series in EU), and self-developed models and algorithms for Desert Locust monitoring and forecasting, the research team constructed the ‘Vegetation pests and diseases monitoring and forecasting system’, which could regularly release thematical maps and reports on Desert Locust.

On June 18, 2022, No.33 Report of Monitoring and Assessment of Desert Locust in Africa and Asia was jointly released by the Team of Prof. Huang Wenjiang from Aerospace Information Research Institute, Chinese Academy of Sciences (CAS) and China Biodiversity Conservation and Green Development Foundation (CBCGDF).

CBCGDF has always been contributing to this study which focuses on the dynamic update of desert locust monitoring and loss assessment in Ethiopia, Iran, and Pakistan.

The series report aims to help developing countries in Asia and Africa fight invasive species and safeguard food security. The results of the report have been shared with developing countries in Southeast Asia and Africa for free, helping them improve their capability to control the impacts of desert locusts. 

Original Chinese Article: https://mp.weixin.qq.com/s/QyGCy9_YTi090ixOk5BVzA

Translator: Sara      

Contact: v10@cbcgdf.org; +8617319454776

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