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Emissions Inventory for Rice Straw Open Burning in Taiwan Based on Burned Area Classification and Mapping Using Formosat-2 Satellite Imagery

机译:基于烧区分类和Formosat-2卫星成像的台湾水稻稻草露天焚烧排放量清单

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Rice straw open-field burning is practiced in many countries and has been proven to be a significant source of emissions during the harvest season. Current approaches to obtain the fraction of rice straw subject to open burning vary significantly, and can lead to incorrectly estimating air pollutant emissions. This study proposes a remote sensing approach by classifying high-resolution imagery taken by Formosat-2 (FS-2) to map burned areas of rice paddy fields during harvest season to provide visualized and accurate estimations. We requested FS-2 image acquisition over the Chianan Plain, which is the greatest rice-producing area of Taiwan, during 3 weeks following the harvesting of the fall crops in 2009. Simultaneously, a mobile team on the ground examined the state of the rice paddies when FS-2 was scheduled to take the images. Based on these data, a procedure that integrated a ground truth-based classification scheme, land use data, spectral signatures, and supervised decision rules was applied to identify burned sites. The results were verified using the field data, with an overall accuracy of 87% for distinguishing among the 6 cover types of rice paddies, showing that 27.3% of the paddies within the study area were openly burned. Based on the mapping results, a comprehensive inventory of the air pollutant emissions from straw open burning in Taiwan is presented. To facilitate the management of emission sources and to improve local air quality, we encourage the use of FS-2 imaging to monitor the open burning of rice straw.
机译:稻草露天燃烧在许多国家都有实践,并已证明是收获季节的重要排放源。当前获取露天燃烧的稻草部分的方法差异很大,并且可能导致错误估算空气污染物的排放。这项研究提出了一种遥感方法,该方法是对Formosat-2(FS-2)拍摄的高分辨率图像进行分类,以绘制收获季节稻田烧毁的区域图,从而提供可视化和准确的估算。我们要求在2009年秋收作物​​之后的3周内,在台湾最大的水稻产区之一的南安平原上获取FS-2图像。同时,一个地面小组在调查了米的状况预定FS-2拍摄图像时的大田。基于这些数据,将基于地面事实的分类方案,土地利用数据,光谱特征和监督决策规则相结合的程序用于识别烧毁地点。使用田间数据验证了结果,在区分6种稻田类型时,总精度为87%,表明研究区域内27.3%的稻田被公开焚毁。根据制图结果,对台湾秸秆明火燃烧产生的空气污染物排放量进行了综合清查。为了促进排放源的管理并改善当地的空气质量,我们鼓励使用FS-2成像来监测稻草的露天燃烧。

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