1, remote sensing information retrieval and processing. The selection of remote sensing information sources should first consider meeting technical requirements and giving consideration to economic benefits. A good information source will get twice the result with half the effort.
2. Remote sensing arid area planning. Crop growth dynamic monitoring and yield estimation is a large-scale application, and it is necessary to classify areas with basically the same natural conditions, social environment and crop growth conditions, so as to facilitate crop growth monitoring and yield estimation model construction.
3. Layout and observation of ground sampling points. In order to obtain high-precision crop planting area and yield, enough sampling points must be arranged on the ground. Monitor the actual growth and yield of crops as a supplement and verification of remote sensing information.
4. The establishment of background database is an important basic work, which collects and stores information about estimating the natural environment of production areas.
5. Extraction of crop planting area. The extraction of crop sown area is the key to crop yield estimation.
6, growth and disaster monitoring. The main method of monitoring is to monitor the vegetation index in different growth periods. According to the change of vegetation index and the comparison with the data, the growth situation of various crops in different growth periods can be obtained in time, and the trend yield of crops can be predicted from the growth situation.
7. Establish a remote sensing model to help yield. The establishment of remote sensing yield estimation model is the core problem of crop yield estimation, and the quality of the model directly determines the accuracy of yield estimation.
8. Estimating the total output and evaluating its accuracy "Accuracy" directly marks the credibility of the entire output estimation result. With the development of economy, the competition is becoming more and more fierce, which puts forward higher requirements for the accuracy of output estimation.
Expand knowledge:
Dynamic monitoring of crop growth and timely and accurate prediction of crop yield are of great significance to the formulation of national grain policy, the development of rural economy and foreign grain trade. Whoever can grasp the production information of all kinds of grain earlier and more accurately will take the initiative in the world grain trade and get better economic benefits.