Utility of Flowering Signals in the Detection of Evergreen Tree Species with a Mid-Resolution Optical Satellite Sensor
Utility of Flowering Signals in the Detection of Evergreen Tree Species with a Mid-Resolution Optical Satellite Sensor
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利用中分辨率光学卫星传感器检测常绿树种开花信号的实用性
DOI：
10.11440/rssj.2022.001
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
篠原 碧・奈佐原顕郎
中科院分区：
文献类型：
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作者：
大槻侑恵;後藤元成;乾 愛実;松田 俊;松田知成;横井雅幸;菅澤 薫;酒井 恒;篠原 碧・奈佐原顕郎
卫星遥感是在难以进行实地调查的地区观测森林的最具成本效益的方法，有望用于树种分类。尽管季节特征是利用遥感技术进行树种分类的有用线索，但利用这些特征利用卫星进行树种识别的研究很少。在这项研究中，我们以筑波市和博索半岛为试验点，利用它们的开花信号可以从Sentinel-2/MSI图像中提取出两个常绿阔叶树种，即西伯利亚常绿阔叶树和蓝常绿阔叶树。虽然这两个物种有相似的开花信号，但由于它们的开花时间不同，它们可以相互分开。结果还表明，利用开花信号估计有害病虫害的可能性，以及利用开花信号对土地覆盖图进行错误分类的可能性。
Satellite remote sensing is the most cost-effective method for observing forests in areas where it is difficult to conduct field surveys, and it is expected to be used for tree species classification. Although seasonal characteristics are useful clues for tree species classification by remote sensing technology, there are few studies on tree species discrimination by satellite using these characteristics. In this study, using Tsukuba City and Boso Peninsula as test sites, we show that two evergreen broad-leaved tree species, namely, C. sieboldii and L. edulis, can be extracted from Sentinel-2/MSI images by their flowering signals. Although these two species have similar flowering signals, they can be separated from each other due to their different flowering times. The results also suggest the possibility of using the flowering signal to estimate the damage from harmful insects and diseases, and the possibility of misclassification of the land cover map by the flowering signal.