Interpretation of Planting Area of Sorghum Based on RapidEye Image
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DOI: 10.25236/dpaic.2018.032
Corresponding Author
Shenguo Mo
Abstract
Because of the characteristics such as high resolution, RapidEye image are widely applied to the fields of remote monitoring and information extraction, etc. In this paper, the RapidEye image of August in 2012 is used to remotely monitor the planting area of vintage sorghum in the study area. Firstly we preprocess the basic data, GPS sample data and image, and establish the classification marks. Then human-computer interactive interpretation scheme is used to the generation of farmland mask. Finally we select three automatic classification schemes and extract the sorghum information by means of the spectral curves of crops. Accuracy assessment is carried out with the field sample data, and the interpretation result is satisfied. All these can provide the monitoring data and help for the decision-making of macro-layout of sorghum planting in Maotai Base.
Keywords
Rapideye Image, Sorghum, Planting Area, Farmland Mask