Study on Remote Sensing Identification of Taro in Northern Guangdong Based on GF-2 Satellite Image

【Objective】The high-resolution remote sensing image provides high-precision support for crop monitoring. As the characteristic crop in northern Guangdong province, taro is a national product of geographical indication, and the monitoring of which is helpful to strengthen control and regulation.【Method】In this paper, the GF-2 remote sensing image of the key phenology of taro was selected, the normalized vegetation index, normalized difference water index and texture information were extracted, the multi-feature spectral texture images were constructed and multiple image combinations were compared, and the support vector machine was used as classifier to analyze the identification accuracy of taro.【Result】The identification accuracy of taro integrated with multi-feature spectral texture image was the highest,with the overall accuracy of 96.04%, and the classification accuracy of taro was 95.30%, which was 5% and 6.8% higher than that of multispectral image, respectively, with twice compared with the improvement of classification accuracy of multispectral panchromatic fusion image. And the boundary outlines of all kinds of ground objects were clear, with smooth image and few fine spots.【Conclusion】GF-2 is an ideal data source for identifying taro in northern Guangdong province, with high classification accuracy, which can meet the needs of crop monitoring, provide support for the formulation of pest prevention and control measures and the adjustment of planting structures.