Improving the UAV-based yield estimation of paddy rice by using the solar radiation of geostationary satellite Himawari-8

IF 0.6 Q4 WATER RESOURCES

Hydrological Research Letters Pub Date : 2020-01-01 DOI:10.3178/hrl.14.56

A. Hama, Kei Tanaka, A. Mochizuki, Y. Tsuruoka, A. Kondoh

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引用次数: 6

Abstract

: The objectives of this study were to improve the yield estimation of paddy rice based on the unmanned aerial vehicle remote sensing (UAV-RS) and solar radiation data sets. The study used the UAV-RS-based normalized differ‐ ence vegetation index (NDVI) at the heading stage, the solar radiation data of geostationary satellite Himawari-8 and the solar radiation data of polar orbiting satellite Aqua/ MODIS. A comparison of two satellite-based solar radia‐ tion data sets (Himawari-8 and MODIS PAR) showed that the coefficient of determination ( R 2 ) of estimated yield based on Himawari-8 solar radiation was 0.7606 while the R 2 of estimated yield based on the MODIS PAR was 0.4749. Additionally, the root mean square error (RMSE) of Himawari-8 solar radiation was 26.5 g/m 2 while the RMSE of estimated yield based on the MODIS PAR was 39.2 g/m 2 (The average observed yield was 489.3 g/m 2 ). The Estimated yield based on Himawari-8 solar radiation, therefore, outperformed the MODIS PAR-based estimated yield. The improvement of the temporal resolution of the satellite-based dataset allowed by using the Himawari-8 data set contributed to the improvement of estimation accu‐ racy. Satellite-based solar radiation data allow yield estima‐ tion based on remote sensing in regions where there are no ground observation data of solar radiation.

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利用地球同步卫星Himawari-8的太阳辐射改进无人机水稻产量估算

本研究旨在改进基于无人机遥感(UAV-RS)和太阳辐射数据集的水稻产量估算。本研究利用基于无人机- rs的顶风期归一化植被差异指数(NDVI)、Himawari-8地球同步卫星太阳辐射数据和Aqua/ MODIS极轨卫星太阳辐射数据。对比Himawari-8和MODIS PAR两组卫星太阳辐射数据，发现基于Himawari-8的估算产量的决定系数(r2)为0.7606，而基于MODIS PAR的估算产量的决定系数(r2)为0.4749。此外，Himawari-8太阳辐射的均方根误差(RMSE)为26.5 g/m 2，而基于MODIS PAR估算产量的均方根误差(RMSE)为39.2 g/m 2(平均观测产量为489.3 g/m 2)。因此，基于Himawari-8太阳辐射的估算产量优于基于MODIS par的估算产量。利用Himawari-8数据集提高卫星数据集的时间分辨率有助于提高估算精度。在没有太阳辐射地面观测数据的地区，基于卫星的太阳辐射数据可以根据遥感估算产量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Hydrological Research Letters WATER RESOURCES-

CiteScore

1.90

自引率

18.20%

发文量

审稿时长

10 weeks

期刊介绍： Hydrological Research Letters (HRL) is an international and trans-disciplinary electronic online journal published jointly by Japan Society of Hydrology and Water Resources (JSHWR), Japanese Association of Groundwater Hydrology (JAGH), Japanese Association of Hydrological Sciences (JAHS), and Japanese Society of Physical Hydrology (JSPH), aiming at rapid exchange and outgoing of information in these fields. The purpose is to disseminate original research findings and develop debates on a wide range of investigations on hydrology and water resources to researchers, students and the public. It also publishes reviews of various fields on hydrology and water resources and other information of interest to scientists to encourage communication and utilization of the published results. The editors welcome contributions from authors throughout the world. The decision on acceptance of a submitted manuscript is made by the journal editors on the basis of suitability of subject matter to the scope of the journal, originality of the contribution, potential impacts on societies and scientific merit. Manuscripts submitted to HRL may cover all aspects of hydrology and water resources, including research on physical and biological sciences, engineering, and social and political sciences from the aspects of hydrology and water resources.