Straw Burning Monitoring Based On GF-1,HJ-1 And FY-3 Satellite Data

With the rapid development of agricultural economic,the straw which as the crop by-product are increasing with the increase of the crop yield.At the same time,the straws which used for living fuels in the past were replaced by clean and convenient fossil fuels with rural living standards improved steady.Therefore,a large number of straws have no place to tackle.Burning straw becomes farmers first choice in order to enhance working efficiency.This method successfully processed the excess crop straw,it caused a lot of eco-environmental problems.Monitoring the straw burning by satellite remote sensing has become the mainstream trend.The governments and departments can quickly formulate plans and arrangements based on monitoring results due to having the characteristics of quick updating,wide monitoring area,saving time and labor.However,it is difficult for Earth observation satellites to obtain remote sensing data with high temporal resolution and high spatial resolution.Monitoring straw burning precisely has become mainly problem.Therefore,this paper selected GF-1,HJ-1 and FY-3 data integration methods and taken the example of Shuangcheng in Heilongjiang Province where the phenomenon of straw burning was serious to explore a practical satellite remote sensing monitoring method for straw burning.In this paper,two aspects,namely the extraction of burned area of straw and the extraction of ground fire point,were studied.Firstly,the burned area extraction of multi-source data integration based on the combustion index method was performed.Secondly,the ground instantaneous fire points were extracted by using fire point monitoring model of improved MODIS.Finally,using the multi-source data integration method to determine the final ground fire point data.The main conclusions of the study:(1)Identifying the distribution of cultivated land can improve the accuracy of straw burning monitoring effectively.The cultivated land distribution data with higher spatial resolution can eliminate ground incineration areas produced by non-straw burning.It is an important step to monitor straw burning by using multi-source data integration method.(2)The straw burned area extracted by the multi-source data integration method has high accuracy and monitoring frequency.The burned area data extracted by the multi-source data integration method was superior to the MODIS.The total classification accuracy of the burned areas based on the multi-source data integration method was higher than 80%,and the Kappa coefficient was also above 0.7.In addition,the multi-source satellite integration method can monitor the date when the straw incineration was concentrated within the study period,so it can extract the data of the burned area with higher temporal resolution.In the case of a good accuracy verification,the method of multi-source data integration can identify areas that have been burned after recultivation.Therefore,the burned area of straw burned based on multi-source data integration method was larger than the burned area of straw burned with MCD64.So the method can be used to extract the burned area of straw.(3)The ground fire point data extracted by the multi-source data integration method has high precision.In the verification of the accuracy of the ground burning point of straw burning,the daily instantaneous fire point data of the straw incineration extracted from the FY-3/VIRR data has good correlation with the instantaneous fire point data provided by the ambient satellite straw burning fire daily reported.At the same time,the fire point data of the straw incineration extracted by the multi-source data integration method and the fire point data of the straw incineration extracted from the MODIS ground thermal anomaly product data also have good correlation.The results shown that the straw burning fire point extraction method based on multi-source data integration used in this study has high precision.