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Development of Crop production index and observation of reflectance spectrum on rice plant under water stress using controlled chamber - Development of monitoring method for rice production in China and India using satellites -

利用受控室开发作物生产指数并观测水分胁迫下水稻植株的反射光谱 - 开发利用卫星监测中国和印度水稻生产的方法 -

基本信息

批准号：
14390055
负责人：
KANEKO Daijiro
金额：
$ 3.78万
依托单位：
MATSUE NATIONAL COLLEGE OF TECHNOLOGY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

项目摘要

This research aims to develop a remote sensing method of monitoring grain production in the early stages of crop growth in Japan and China. It is important to oversee the quantity of grain in production at an early stage in order to raise the alarm well in advance if a poor harvest is looming, especially in view of the rapid population increase in Asia and the long-term squeeze on water resources. Methods for monitoring cereal production have so far incorporated indices of accumulating atmospheric air temperature or vegetation Index NDVI in addition to precipitation data. However, the new era of water restriction caused by rapid population increase needs for photosynthetic model considering the effects of solar radiation and water stress effects in the regional crop production model. Grain production monitoring would allow orderly crisis management to maintain food security in Japan, which is far from producing enough grain for its own population. We propose a photosynthesis-based crop … More production index CPI that takes into account all of : solar radiation, effective air temperature, vegetation biomass, the effect of temperature on photosynthesis by leaves of grain plants, low-temperature sterility, and high-temperature injury. These later factors, which extend the model of Rasmussen, are significant around the heading period of crops.The proposed photosynthesis-based crop production index CPI has accurately predicted the rice yield and the Japanese Crop Situation Index at ten monitoring sites in eight years, including the worst yield in the last 15 years.Special emphasis is placed on rice production because of the demand for abundant irrigation in paddy fields.The research reports the measurement of reflectance spectrum of rice plant leaves in a controlled chamber to include the effect of water shortage. The applicability of water stress indices of SRWI (Simple Ratio Water Index) and NDWI(Normalized Difference Water Stress) using shortwave-infrared reflectance is discussed for the future application of MODIS and ASTER. After the validation of the Crop Production Index in paddy fields of whole Japan, the photosynthesis type of Crop production index is applied to China using solar radiation derived from Japanese Geostationary satellite over Asia and NDVI from NOAA AVHRR for biomass along with World Weather data for daily climate condition for the computation of Crop Production Index. The estimation results are preliminary compared to the statistics of crop production in China. Less

这项研究旨在开发一种遥感方法，用于监测日本和中国作物生长早期的粮食产量。重要的是在早期阶段监督粮食产量，以便在收成不佳的情况下提前发出警报，特别是考虑到亚洲人口的快速增长和对水资源的长期挤压。迄今为止，监测谷物生产的方法除了包括降雨量数据外，还纳入了大气温度累积指数或植被指数NDVI指数。然而，人口快速增长导致的新的限水时代需要在区域作物生产模型中考虑太阳辐射和水分胁迫效应的光合作用模型。粮食生产监测将使有序的危机管理能够维护日本的粮食安全，因为日本的粮食产量远远不足以满足本国人口的需求。我们提出了一种基于光合作用的作物…综合考虑太阳辐射、有效气温、植被生物量、温度对粮食作物叶片光合作用的影响、低温败育、高温伤害的CPI生产指数较多。这些后期因素扩展了拉斯穆森的模型，在作物抽穗期前后意义重大。提出的基于光合作用的作物生产指数CPI已经准确地预测了八年来10个监测点的水稻产量和日本作物状况指数，其中包括最近15年的最差产量。由于稻田需要大量灌溉，因此特别强调水稻生产。该研究报告了在受控室中测量水稻植株叶片的反射光谱，以包括缺水的影响。为MODIS和ASTER的进一步应用，讨论了基于短波-红外反射的SRWI(简单比水分指数)和NDWI(归一化差异水分胁迫)水分胁迫指数的适用性。在对日本全国稻田作物生产指数进行验证后，利用日本地球同步卫星在亚洲上空的太阳辐射和NOAA AVHRR的NDVI生物量以及世界天气日气候条件资料，将光合作用类型的作物生产指数应用于中国，以计算作物生产指数。估算结果与中国的农作物产量统计数据进行了初步对比。较少