Estimation of Normal Rice Yield Considering Heading Stage Based on Observation Data and Satellite Imagery
Estimation of Normal Rice Yield Considering Heading Stage Based on Observation Data and Satellite Imagery
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基于观测数据和卫星图像的考虑抽穗期的水稻正常产量估算
DOI：
10.1109/igarss47720.2021.9554679
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Barus Baba
中科院分区：
文献类型：
--
作者：
Sofue Yuki;Hongo Chiharu;Manago Naohiro;Sigit Gunardi;Homma Koki;Barus Baba
为了减少水稻减产造成的损失，稻田灾害评估方法是必不可少的。为了实施农业保险，确定正常产量，即每片稻田在正常天气条件下的预期产量是非常重要的。本研究的目的是首先建立一个基于卫星图像的水稻产量估算模型，最后估算每个地块的正常产量。在这项研究中，多光谱信息，如可见光和近红外波段提取的Sentinel-2图像和几个指标进行多元回归分析，考虑到抽穗期的基础上NDVI。该方程的结果（RMSE = 1.22吨/公顷）用于估计2020年的正常产量。结果表明，卫星数据可以有效地用于水稻估产，并可用于估算各地块的正常产量。今后，预计该系统将有助于量化损失，以计算农业保险的赔偿额。
Damage assessment methods for paddy fields are essential to reduce the damage caused by decreases in rice yield. In order to apply agricultural insurance, it is very important to determine the normal yield, i.e. expected yield under normal weather conditions for each paddy field. The objective of this study is first to develop a model to estimate the yield of paddy based on satellite images, and finally to estimate the normal yield of each plot. In this study, multiple spectral information such as visible and near-infrared bands extracted from Sentinel-2 images and several indices were used to perform multiple regression analysis considering the heading stage based on NDVI. The results of this equation (RMSE = 1.22 t/ha) were used to estimate the normal yield for 2020. The results suggest that satellite data can be used effectively to estimate yield, and used to estimate the normal yield of each paddy plot. In the future, it is expected to contribute to the quantification of losses for the calculation of compensation amounts for agricultural insurance.