Crop pests and diseases have caused serious crop yield loss all over the world.Therefore,the establishment of un-destructive and effective method for monitoring and forecasting of crop pests and diseases at large scale is of great importance for crop management.In recent years,crop pests and diseases forecasting information is available and integrated with multi-source datasets (Earth Observation (EO),meteorological,biopesticide and crop control) to make foundation for sustainable management of pests and diseases.This paper summarizes domestic and overseas research progresses on remote sensing systems,monitoring methods,features and algorithms.Approaches for the dynamic remote sensing monitoring of pest and disease environment and development are investigated with multi-source EO data (hyperspectral,high spatial and high temporal satellite images).This paper introduces the progress for crop pests and diseases monitoring and forecasting mechanism,models,methods and applications at leaf,canopy and regional scale.It explores their system outputs to provide information for pest and disease management with new biopesticides and automatic Unmanned Aerial Vehicle (UAV) spraying system to produce an estimation of risk or potential yield losses.The crop pests and diseases remote sensing monitoring and forecasting system should be constructed by integration with EO data,meteorological data and crop control data to produce national pests and diseases maps and scientific reports.Crop pests and diseases monitoring and forecasting by remote sensing will be beneficial for the improvement of regional crop pests and diseases forecasting and sustainable management to guarantee food security and promote agricultural modernization.