Novel Method for Correcting Land-Cover Misclassification in Mountainous Paddy Fields: a Case Study of the Honghe Hani Rice Terraces in Yunnan, China
Novel Method for Correcting Land-Cover Misclassification in Mountainous Paddy Fields: a Case Study of the Honghe Hani Rice Terraces in Yunnan, China
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DOI：
10.11440/rssj.40.s19
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发表时间：
2020
影响因子：
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通讯作者：
Takeshi Sato;S. Ogawa;H. Aizaki;Taro Takahashi;Nanae Yamada;Y. Nakashima
中科院分区：
文献类型：
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作者：
Takeshi Sato;S. Ogawa;H. Aizaki;Taro Takahashi;Nanae Yamada;Y. Nakashima
在山区，由于地形坡度造成的阴影，局部地区的辐射减少。这种减少导致稻田被错误地使用卫星图像分类。由于稻田被吸收辐射的稻谷和水所覆盖，稻田的辐射特征与荫林草地的辐射特征接近。在这项研究中，我们提出了一种新的方法来纠正分类结果，利用地形特征的梯田在山区。然后，我们将此方法应用于红河哈尼梯田，中国云南。结果表明，该校正方法显著提高了稻田分类的精度。该方法的kappa系数等于或大于现有模型的kappa系数。
In mountainous areas, radiance decreases locally owing to the shade created by the topographic slope. This reduction causes paddy fields to be misclassified using satellite images. The characteristics of the radiance of paddy fields are close to those of shaded forest and grassland because paddy fields are covered with paddy and water that absorb radiance. In this study, we propose a novel method to correct the classification results using the terrain characteristics of terraced paddy fields in mountainous areas. We then applied this method to the Honghe Hani Rice Terraces in Yunnan, China. The results show that this correction method significantly improves the accuracy of paddy field classification. The kappa coefficient of the proposed method is equal to or greater than that of existing model.