Study on Extraction Methods of Rape Area Based on GF-1 Satellite Image

The GF-1 WFV image on April 3, 2017 was selected to extract the cultivated area of rape in Haimen city of Jiangsu province. Vegetation indexes and texture features were extracted from the original spectrum data in order to extract rape area with Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM). The extraction accuracy of rape was verified through on-site GPS measurement of 4 ground samples area with the scale of 500 m×500 m. The rape area extraction accuracy of the combination which contained spectrum and vegetation indexes was 71.28% that was the highest among all combinations. It indicated that the GF-1 satellite image can be used for monitoring the cultivated area of rape and it has higher accuracy and broad application prospects in the field of agriculture remote sensing monitoring.