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.