Study On Monitoring Of Crop Growth In The Songnen Plain Based On Remote Sensing

The information of the traditional artificial collection of crops in the Songnen Plain often delays the growth of crops,and it usually takes a lot of manpower and material resources to obtain large scale agricultural information.At the same time,the results of the survey will be influenced by human factors and produce errors.The timely and accurate acquisition of crop distribution and growth information is of great significance for ensuring the safety of grain production in the Songnen Plain and promoting the sustainable development of agriculture.Remote sensing monitoring technology has the characteristics of timely,rapid,large scale and so on.Using remote sensing image data to monitor the growth situation of crops,it will save a lot of time and funds for agricultural departments and scientific researchers to monitor and research crop growth.This research is based on “the remote sensing monitoring system of the crop growth in the Songnen Plain”,and carries out the preliminary investigation and research in the research area,and designs the sampling scheme by using the knowledge of geography.The remote sensing data downloading and auxiliary data collection in Songnen Plain were carried out,and a comprehensive database of crop growth was designed and constructed by using structured query language technology.According to user needs analysis,MATLAB language is chosen as the development platform,and a fast monitoring module with fast processing speed and flexibility is designed and developed.Based on the technology of remote sensing and numerical modeling,an integrated MODIS based monitoring system for crop growth in Songnen Plain is developed.The monitoring and management of the distribution and growth status of crops can be realized.After the monitoring data is imported,thematic maps of the distribution of crops and the growing situation of crops can be generated dynamically.The automation and large-scale operation of the processing flow are realized,which reflects the efficiency and practicability of the system.To improve the current status of crop monitoring in the Songnen Plain,which can only use manual surveys.It provides new technical means and monitoring models for scientific and efficient crop growth monitoring,and improves the scientific and timeliness of agriculture relateddepartments in agricultural production decision-making ability and information dissemination,and has good application and popularization value.The main contents of the study are as follows:?The sampling site is investigated and the field sampling scheme is designed.The data of the remote sensing image data,the second national land classification data,the administrative division boundary of the Songnen Plain,the meteorological data and the Crop Phenology information are studied in a standardized way,the precision data after processing is imported into the integrated database,which improves the accuracy of monitoring data and provides data protection for crop growth monitoring system.?The data of the remote sensing image data,the second national land classification data,the administrative division boundary of the Songnen Plain,the meteorological data and the Crop Phenology information are collated and collected,and the research results of the agricultural remote sensing monitoring system at home and abroad are used for reference.As well as related crop classification methods and growth monitoring methods as references,the classification accuracy of crops is effectively improved through the waveform similarity classification method based on the Fourier component,applying the discrete Fourier transform to the NDVI time series to reduce the impact of high-frequency noise on the classification can improve the accuracy of the crop growth monitoring data.At the same time,five types of vegetation state indexes suitable for crop growth monitoring in the Songnen Plain are selected to monitor crop growth.And conduct paper research and system design and development work.?Design and develop a MODIS-based remote sensing monitoring system for crop growth in the Songnen Plain to achieve integration of spatial data and release,regular updates and post-stage management of crop growth monitoring data;and to achieve automated crop classification and crop growth monitoring.Statistical analysis of monitoring data and visualization of monitoring data.The system can satisfactorily meet the needs of crop remote sensing monitoring business in the Songnen Plain,and carried out detailed studies on crop automation classification and crop growth monitoring.