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ESTIMATE RICE ACREAGE IN HUNAN PROVINCE USING THE CHINA ENVIRONMENT SATELLITE DATA

机译:利用中国环境卫星数据估算湖南省的大米面积

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For China, it is of great importance to be able to estimate the crop acreage in order to manage government agricultural subsidy system and guarantee food security. The objective of this study is to provide a technological support in rice acreage estimation for the country grain subsidy and investigate the potential of application of the China Environment Satellite HJ-1A/B in rice identification. For the southern rainy and cloudy regions of China, the SAR data have often been used to map paddy rice fields because they are independent of weather conditions and has all day imaging capability, but they may be obtained with high cost. In this research, the multi-temporal HJ-1A and B images at early-season rice growth stages in Hunan province were used for mapping rice fields and an algorithm for estimating paddy rice acreage was developed based on the arable coefficient and proportion of cloud to get high county accuracy. The mapping results were evaluated by field surveys and the promising identified accuracy was achieved with an accuracy of higher than 80% at county scale. The result of this study indicates that the algorithms we explored in the research is effective to estimate rice crop acreage and the HJ-1A/B has great potential in monitoring rice crop cultivation areas in southern China.
机译:对于中国来说,能够估计作物面积是非常重要的,以便管理政府农业补贴制度并保证粮食安全。本研究的目的是为国家粮食补贴的水稻种植面积估计提供技术支持,并调查中国环境卫星HJ-1A / B在水稻鉴定中的应用潜力。对于中国的南部多雨和阴天地区,SAR数据通常被用来映射水稻领域,因为它们与天气状况无关并且具有全天成像能力,但它们可能以高成本获得。在本研究中,湖南省早期水稻生长阶段的多时间HJ-1A和B图像用于绘制稻田,基于云的耕地和比例开发了估计水稻面积的算法获得高县的准确性。通过现场调查评估了映射结果,并且在县标时的精度高于80%的准确性,实现了有希望的识别精度。本研究结果表明,我们在该研究中探讨的算法是有效的,估计水稻作物面积,HJ-1A / B在中国南方的稻米作物栽培区域具有巨大潜力。

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