Remote Sensing Of Agricultural Structure In Tumd Right Banner

With the development of science and technology,remote sensing techniques have been widely used in the field of agriculture,and have been gradually applied to research on agricultural planting structure.From the macroscopic point of view,the exploitation and utilization of cultivated land ecosystem is the key to ensure the long-term survival of human beings,and it is also a necessary way to ensure that human beings can obtain welfare indirectly or directly.In the process of exploiting and utilizing the cultivated land ecosystem,human beings must change the crop planting structure.From the practical point of view,the most effective analysis of crop planting structure is not only can get the information of agricultural resources accurately and effectively,but also can understand the type,quantity and distribution information of crops effectively.In addition,crop planting structure information is an important reference for agricultural production management and planting layout management.In order to solve the contradiction between human and nature effectively and to ensure human and nature are in harmony,the relevant crop planting managers must analyze the planting structure of crops,changes of space-time pattern and the information of driving mechanism accurately and effectively.Based on ENVI data processing platform of remote sensing image and ArcGIS mapping software,this paper selected each three-view Landsat-8 image data in 2015 and 2018 as the data source,and extracted the main crop planting fields in the area of Tumd Right Banner by means of supervised classification.It obtained the planting structure information of crop in this area and revealed the temporal and spatial variation characteristics.The conclusions of the study are as follows:(1)According to field sampling data,main crop phenology and ground features of crops to select training samples.The supervised classification based on SVM(Support Vector Machine)classification has a better classification effect,and the overall accuracy of the supervised classification is more than 90%;(2)The paper analyzed growth information of the main crops according to the classification results and the NDVI(Normalized Difference Vegetation Index)obtained by processing the data,and the research results show that the main crops in Tumd Right Banner,Baotou,Inner Mongolia are corn,wheat and sunflower,and the crops in middle part of Tumd Right Banner are high in uniformity and good in growth information;In the surrounding area of the Yellow River in the southern part of Tumd Right Banner,the uniformity and growth of the crops are both poor and the farmland is barren.In addition,compared with the crop cultivation in the period of 2015 and 2018,the planting area of the corn in 2018 is increased,and the wheat and the sunflower are reduced;(3)Base on the main crop planting fields,the research and analysis of the crop planting structure and the space layout of the research area were carried out,and the research results showed that the research area can meet the requirements of the light and temperature resources of the wheat plus vegetable compound,and the utilization rate of land and agricultural climate resources can be improved.The remote sensing analysis of the agricultural planting structure can help to control the spatial variation of crop growth,and reflect the time-space utilization of the land resources and the agricultural climate resources.It is of great significance to master the farming situation,to guide the agricultural production and to adjust the agricultural industrial structure.