Rapid identification and extraction method of rice paddies based on GEE platform
Rice is the staple food for more than 65%of Chinese people.A timely and accurate grasp of the cultivation area and spatial distribution of rice is of great significance for formulating agricultural policies and guaranteeing food security.In this paper,a method combining the identification of small water bodies based on rice cultivation patterns and threshold segmentation was proposed for identifying provincial rice paddies.The method adopted the data from optical remote sensing images of Sentinel-2,and tests and accuracy verification were carried out in the Guangxi Zhuang Autonomous Region using the Google Earth Engine(GEE)platform.The method proposed in this paper showed reliable and fast performance in identifying rice paddies,with a Kappa coefficient of 0.76,an overall accuracy of 92%,a producer accuracy of 70%,and a user accuracy of 95%.This approach saving computational overhead achieved a balance between extraction accuracy and computational efficiency and could be effectively applied in identifying rice paddies using a single-season rice cropping cycle in provincial or larger regions.
remote sensing indicesremote sensing in agriculturerice paddy identificationSentinel-2Google Earth Engine(GEE)
国家科技期刊平台
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