Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia
Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia
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基于无人机植被指数的农作物旱灾评估印尼稻田多光谱影像
DOI：
10.3390/agriculture13010113
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发表时间：
2022-12
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影响因子：
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通讯作者：
Yuki Iwahashi;G. Sigit;B. Utoyo;I. Lubis;A. Junaedi;B. Trisasongko;I. Wijaya;M. Maki;C. Hongo;K. Homma
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作者：
Yuki Iwahashi;G. Sigit;B. Utoyo;I. Lubis;A. Junaedi;B. Trisasongko;I. Wijaya;M. Maki;C. Hongo;K. Homma
干旱正日益威胁着东南亚的小农。农作物保险制度是印度尼西亚2015年实施的有希望的对策之一。由于目前系统中的损害评估是通过外观直接调查进行的，不客观，需要很长时间才能覆盖大面积。在这项研究中，我们研究了一种快速评估方法，利用2019年和2021年无人驾驶航空器（UAV）和多光谱相机拍摄的植被指数（VI）对稻田进行评估。然后，两种方法的评估干旱损失进行了测试：线性回归（LR）的基础上的视觉评估的干旱程度（DL），和k-均值聚类没有评估的DL。结果表明，EVI 2可以表征损伤程度，且随着DL的增大，EVI 2值沿着减小。两种方法估计的DL大多与评估的DL一致，但一致率因评估字段的位置和数量而异。生育期和水稻品种的差异也影响了结果。该研究揭示了基于无人机的快速客观评估方法的可行性。今后的执行工作需要进一步收集和分析数据。
Drought is increasingly threatening smallholder farmers in Southeast Asia. The crop insurance system is one of the promising countermeasures that was implemented in Indonesia in 2015. Because the damage assessment in the present system is conducted through direct investigations based on appearance, it is not objective and needs a long time to cover large areas. In this study, we investigated a rapid assessment method for paddy fields using a vegetation index (VI) taken by an unmanned aerial vehicle (UAV) with a multispectral camera in 2019 and 2021. Then, two ways of assessment for drought damage were tested: linear regression (LR) based on a visually assessed drought level (DL), and k-means clustering without an assessed DL. As a result, EVI2 could represent the damage level, showing the tendency of the decrease in the value along with the increasing DL. The estimated DL by both methods mostly coincided with the assessed DL, but the concordance rates varied depending on the locations and the number of assessed fields. Differences in the growth stage and rice cultivars also affected the results. This study revealed the feasibility of the UAV-based rapid and objective assessment method. Further data collection and analysis would be required for implementation in the future.