The Cultivated Land Quality Monitoring And Evaluation Technology Based On Independent High Resolution Of Remote Sensing Research

Arable land is the foundation of agricultural production, especially light industry raw materials is mainly derived from farmland. Arable land is the basis for social stability, which provides the main livelihood security for the rural population and is the main source of urban subsistence. Our country is a large country with more than 1.2 billion people, and the farmland per capita is only 1.59 acres accounting for only 44% of the world’s cultivated land per capita, at the same time, with the rapid increase of population,and the farmland per capita will be further reduced in the future for a long period of time. In the future economic development of our country, we must take the most stringent measures to protect cultivated land special for stabilizing some arable land and continuously improving the quality of cultivated land. Therefore, arable land quality testing is particularly necessary.In view of the problem of the technology of acquiring farmland quality information existing such problems as small monitoring area, serious damage, heavy investment and long cycle, and the limitations that foreign remote sensing satellite data are expensive, long acquisition period and unsafe. This article takes Conghua district as the research object to study inversion technique of the master control factors of quality of cultivated land based on remote sensing using China’s own high remote sensing satellite data which combine with high spatial resolution, high spectral resolution and high resolution information,forming independent monitoring system based on high quality arable land remote sensing data and improving the basic quality of arable land dynamic monitoring. Specific research content is as follows:(1)Constructing cultivated land quality evaluation index system based on high resolution remote sensingIndicator is the scale of the evaluation determing the feasibility and the rationality of the evaluation. At the same time, arable land system is a complex nonlinear system and wemust select the multi-level, targeted indicators to evaluate its quality. This study build the evaluation model based on the pressure- state- response framework from Production Press Index, Land Status Index and Social Action Index three aspects to establish evaluation index system, selecting slope, soil degradation index, soil fertility index, soil moisture index, land use degree as an evaluation index according to the relevant mathematical analysis.(2)Dividing cultivated land quality evaluation index levelThis article divides the hierarchy of paddy field, dry land and irrigated land referring to the second national land survey data and the actual survey data respectively, using the sample data from the field and repeated experiments to set the NDVI index, RVI index,DVI index and slope threshold.(3)Building arable land evaluation model based on GF-1 remote sensing and get the evaluation resultsIn order to extract accurately the information quality of arable land, we use the DELPHI method to give each index SLOPE, DVI, NDVI, RVI weights were: 0.20, 0.25,0.25, 0.30 by expert scoring so as to obtain a comprehensive evaluation model of Land Quality Index. The study area is divided into six grades based on the above method of building the cultivated land quality evaluation system and evaluation model to give Conghua arable land evaluation level results, which shows the overall accuracy of 77.84%and Kappa coefficient of 0.7209.As for from a large area, the quality evaluation of cultivated land we have obtained is reliable and the use of satellites for high resolution arable land is feasible to extract.