Nghiên cứu áp dụng công cụ viễn thám và bộ chỉ số giám sát cây trồng - phân tích đánh giá thí điểm năng suất cho khu tưới thuộc tỉnh Ninh Thuận

Abstract

Remote sensing monitoring is increasingly popular with the commissioning of high-resolution sensor systems. There are many research and applications that have leverage the increasingly powerful tools of satellite observing systems to bring applications into the fields of environment, natural resources, and earth sciences. The construction of predictive tools based on the remote-sensed spectrum correlated with the phenotype of plants has been applied to many crops in the world with a very high degree of success. However, the development of predictive assessments of rice phenotype and crop yield is highly dependent on local farming conditions, such as water resource, soil quality, and agriculture extension. There must be a insitu assessment based on historical time series. This study developed algorithm for Sentinel satellite image interpretation to separate rice growing areas, assess rice growth cycle and predict rice yield corresponding with the growth cycle. Results show a very high correlation of the analysis algorithms (with a small prediction error at 3.3% for the yield) for the irrigation area of ​​Ba Rau reservoir - Ninh Thuan. The analytical method, algorithm and results allow to replicate the research results to other regions of Vietnam and other crops