Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW-RS
Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW-RS
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DOI：
10.3390/rs12132099
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发表时间：
2020-07-01
期刊：
影响因子：
5
通讯作者：
Oki, Kazuo
中科院分区：
文献类型：
--
作者：
Raksapatcharawong, Mongkol;Veerakachen, Watcharee;Oki, Kazuo
遥感技术的进步使全球能够有效监测干旱，即使在数据有限的地区也是如此。然而，干旱对作物产量的负面影响仍然需要利益攸关方根据其严重程度做出明智的决定。本研究提出了一种算法，将基于降雨量、地表温度(LST)和归一化植被指数/叶面积指数(NDVI/LAI)卫星产品的干旱监测模型与作物模拟模型相结合，以评估干旱对泰国水稻产量的影响。典型的作物模拟模型可以提供产量信息，但由于数据不足，对复杂输入集的要求限制了它们的潜力。这项工作利用了一种被称为遥感模拟模型(SIMRIW-RS)的水稻作物模拟模型，其投入基本上可以通过这种卫星产品来满足。基于2018/19年作物季的试验数据，该方法可以成功地提供干旱监测功能，并有效地估计水稻产量，平均绝对百分比误差(MAPE)约为5%。此外，我们还表明，在有历史气象数据的情况下，SIMRIW-RS能够合理地预测水稻产量。实际上，这项研究提供了一种方法来评估干旱对区域范围内农场水稻产量的影响，这与缓解气候变化的作物保险和适应计划有关。
Advances in remote sensing technologies have enabled effective drought monitoring globally, even in data-limited areas. However, the negative impact of drought on crop yields still necessitates stakeholders to make informed decisions according to its severity. This research proposes an algorithm to combine a drought monitoring model, based on rainfall, land surface temperature (LST), and normalized difference vegetation index/leaf area index (NDVI/LAI) satellite products, with a crop simulation model to assess drought impact on rice yields in Thailand. Typical crop simulation models can provide yield information, but the requirement for a complicated set of inputs prohibits their potential due to insufficient data. This work utilizes a rice crop simulation model called the Simulation Model for Use with Remote Sensing (SIMRIW-RS), whose inputs can mostly be satisfied by such satellite products. Based on experimental data collected during the 2018/19 crop seasons, this approach can successfully provide a drought monitoring function as well as effectively estimate the rice yield with mean absolute percentage error (MAPE) around 5%. In addition, we show that SIMRIW-RS can reasonably predict the rice yield when historical weather data is available. In effect, this research contributes a methodology to assess the drought impact on rice yields on a farm to regional scale, relevant to crop insurance and adaptation schemes to mitigate climate change.