RSCROP: Desert Locust Monitoring, Forecasting and Assessment in Africa and Asia Archive from 2018-01-01 (Ongoing)

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 RSCROP research team constructed the ‘Crop pests and diseases monitoring and forecasting system’, which could regularly release thematical maps and reports on Desert Locust.

该研究团队将多源地球观测数据，如气象数据、实地数据和遥感数据（例如中国GF系列、美国MODIS和Landsat系列、欧盟Sentinel系列）与自行开发的沙漠蝗虫监测与预测模型和算法相结合，构建了‘农作物病虫害监测与预测系统’，能够定期发布关于沙漠蝗虫的专题地图和报告。