| This research paper in precision agriculture remote sensing images, digitalapplication-oriented agriculture research center, to rice as the research object, with basicinformation on agricultural conditions, geographical data information, as well asmulti-source remote sensing image based, the research content based mainly for thefollowing three aspects:1. A Classification of Rice Remote-Monitoring Based on Optimization ISODATA.The use of multi-temporal multi-source remote sensing data especially HJ-1A/B satellitedata for various major growth period of rice growth monitoring in crop cultivation andfield management and tuning aspects of the urgent need, as well as aspects of crop yieldmonitoring and forecasting the inevitable requirement to carry out classification based onremote sensing technology and computer technologies Growth Monitoring of rice growthstages of the classification study, aimed at the grassroots level agricultural technology andextension services to provide the timely preparation of information on a wide range of ricecrop is growing, but also for rice production estimate to provide data to support.2. Rice Yield Based on HJ-1A/B Image Data and Estimating Yield Model CouplingClassification Monitoring. This research is mainly based on the main rice growth periodgrow, choose the best information correlation of growth period, the use of agronomyparameters normalized vegetation index shows the leaf area index/biomass, rice yieldestimation model with agronomy parameters and the relation between the yield of ricepredicted on the basis of the practical production data, establish the rice yield leveldivision.3. The technology system of rice yield estimation by remote sensing is based on GIStechnology, and prepared using object-oriented visual programming language BorlandDelphi7.0. Through the system functions and the input of remote sensing image data,simple query functionality can be realized such as wide range of rice varieties division, thearea information distribution and other basic agricultural situation; and the same time thevegetation indices (VI) obtained from the input image computing, combined with samplepoint parameters，the Growth model be established, So as to construct the rice growing remote sensing monitoring system.Study the performance of the main results obtained in the following three aspects:1. Remote sensing technologies for monitoring rice crop is growing classificationresearch, Taixing City in Jiangsu Province, for example, based on environment Satellite(HJ-1A/B) remote sensing technology of rice growth monitoring studies. In the use ofGPS field survey and the establishment of sampling on the basis of interpretation of signs,through the image correction, non-supervised classification, human-computer interactiveinterpretation of interpretation and other operations, and data validation samplesthroughout the entire classification process, the message is interpreted accuracy above90%.Vegetation index using remote sensing inversion of leaf area index, biomass, and so on aregrowing status information, right to conduct monitoring of rice growth stages weregrowing, and monitoring of production of rice crop is growing thematic map classification.2. Based on remote sensing technology of rice yield forecast model couplingclassification Monitoring aspects, in the existing model of rice yield estimation, based onthe coupling of remote sensing inversion LAI, biomass crop is growing information and tomonitor the conduct of rice yield prediction and production of rice yield grade thematicmap. Remote sensing of rice yield estimation model is based on photosynthesis-driven useof effective light energy produced by material accumulation and yield formation in thegrowth model coupling of the remote sensing information to revise the model of themachine fully rational and interpretative as well as the timeliness of remote sensingtechnology and widely characteristic of the domain.3. Rice growing remote sensing monitoring information system construction anddevelopment, Based on geographic information system technology second development,by use of object-oriented visualization programming language Delphi7.0Borland, remotesensing technique system of rice yield estimation design development. Basically GISvector layers and remote sensing image analysis, display, query functions, examine the useof software component technology, component-style development of GIS technology,database technology, and eco-physiological model of rice field management techniques,growth analysis and yield forecast, integration of existing remote sensing techniques andagronomic research, exploratory and experimental nature of software development, the establishment of a model based on remote sensing and yield estimation of rice productiontechnology, management information systems. The agricultural digital, information-baseddevelopment path is explored through the implementation of technology systems. |
