Estimation of paddy field area using the area ratio of categories in each mixel of Landsat TM
Estimation of paddy field area using the area ratio of categories in each mixel of Landsat TM
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DOI：
10.1080/01431169608948736
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发表时间：
1996-06-01
影响因子：
3.4
通讯作者：
Fukuhara, M
中科院分区：
文献类型：
--
作者：
Okamoto, K;Fukuhara, M
准确估算稻田面积对评价水稻产量和稻田甲烷排放通量具有重要意义。稻田得到灌溉，只种植一种作物。因此，与高地和森林相比，水田更容易分类。然而，混合元素降低了分类的准确性，增加了面积估计的误差。为了克服这些问题，我们开发了一个模型来估计从Landsat TM数据的像元稻田面积。我们将此模型应用于北海道和宫城县的验证站点。在我们的模型的这些验证中，我们能够分别以1.4%和3.3%的总体误差估计稻田面积。这些结果表明，我们可以将我们的模型应用于实际应用。
It is important to estimate the area of a paddy field accurately in order to evaluate the production of rice and the methane flux from paddy fields, which contributes to the greenhouse effect. Paddy fields are irrigated and a single crop is cultivated in them. Therefore, paddy fields are easy to classify compared to upland fields and forests. However, mixels decrease the accuracy of classification and increase the error in area estimation. To overcome these problems, we developed a model to estimate the area of paddy fields in pixels from Landsat TM data. We applied this model to verification sites in Hokkaido and Miyagi Prefecture. In these verifications of our model, we were able to estimate paddy field areas with 1.4 per cent and 3.3 per cent overall error, respectively. These results show that we can apply our model to practical use.