Evaluation factors for cultivated land grade identification based on multi-spectral remote sensing

To determine the feasibility of using remote sensing technique to identify cultivated land quality, multi-spectral remote sensing image was taken as data source and remote sensing technique was used to extract factors、evaluate cultivated land quality in this paper. Soil organic matter、terrain slope and surface texture were effectively obtained from remote sensing images through constructing inversion model and on-the-spot investigation; In theory, irrigation and drainage factors could identify through remote sensing images, but it was more difficult to obtain them, so they could be got by methods of Thematic map and Image interpretation; the factors obtained by identification of remote sensing, such as Profile configuration、obstacles and soil pH, had lower accuracy. Natural index was taken as evaluation results of RS identification and Agricultural Land Classification results existed was used to verify it, the result showed that they had a high degree of consistency within an error range between plus seven to minus seven. So it had certainly feasibility to identify cultivated land quality assessment by using multi-spectral remote sensing. The study could provide some references for identification of cultivated land grade evaluation factors、cultivated land quality evaluation and dynamic monitoring.