Crop Planting Structure Extraction Based On Multi-source Remote Sensing Data

Since the 13 th five-year Plan and the "sickle bend" policy were introduced,the state hasdevoted more energy to agriculture,and supply-side structural adjustment has also become a hot issue,and how to be reasonable.Scientific adjustment of planting structure has also become a hot research issue,in this paper,23 issues of 2016,the spatial resolution of 250 m MODIS remote sensing image,the resolution of 30 m Landsat 8 remote sensing image,to obtain phenological information in 2016.Then the phenological information was segmented to extract the crop planting structure of Heilongjiang Province in 2016.Select Heilongjiang typical.The main research methods and results are as follows:(1)In this paper,the concept of "phenological-homogeneous zone",that is,the phenological region,is divided into a plurality of regions.After the evaluation index is calculated,the optimal size of the phenological zone is 70,and finally,the waiting area of the 27 blocks is obtained,and then the multi-scale division is performed on each phenological region,And the optimal scale of the multi-scale segmentation is 5 after the segmentation index is evaluated.(2)Through statistical analysis,it is found that the threshold value of pure maize planting area is the largest,which can reach more than 1.5.Therefore,the minimum planting structure units with the threshold range of 0.8 or above can be divided into sowing areas of maize.The threshold value of pure rice planting area is the smallest with a range of-0.4~0,so when the threshold value is less than 0,it can be planned as a single planting structure unit of rice,therefore,the threshold range of rice-maize can be set to 0.1~0.4;The threshold fluctuation ranges of rice-soybean and rice-soybean-maize are similar,both concentrated in about 0.5.(3)The overall precision of crop planting structure in Heilongjiang Province reached 88.72%in 2016.As a whole,the distribution of maize planting area in Heilongjiang Province is the most extensive,followed by rice.Most maize planting areas are located in Songnen Plain,mixed with soybean,rice is mainly distributed along the coast of rivers,and mainly concentrated in Sanjiang Plain.In 2016,soybeans did not have a single planting area and were usually mixed with corn,wheat,rice and potatoes.(4)Hailun City is located in Songnen Plain area.There are many types of crops planted in Hailun City,and there are many kinds of planting structure units in Hailun City.Comparing the results of supervised classification with that of planting structure extraction,we can see that the similarity between supervised classification and planting structure extraction is as high as 96%,while the results of principal component analysis are used to extract planting structure.The overallaccuracy can reach 88.72% on average.Therefore,the method of extracting planting structure by MODIS is feasible,rapid and convenient.(5)According to MODIS-NDVI time series data,crop phenological information can be extracted in a large area,and segmentation and classification processing can effectively identify the spatial distribution information of multiple crops in large-scale areas,and can not go out of the house.Timely and accurate acquisition of crop information provides a reasonable basis for the formulation of agricultural policies and lays a foundation for the sustainable development of agriculture.