Photosynthetic rice production index for early warning using Remote Sensing and meteorological data
Photosynthetic rice production index for early warning using Remote Sensing and meteorological data
复制标题
利用遥感和气象数据预警水稻光合产量指数
DOI：
10.1117/12.625939
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
T. Ishiyama
中科院分区：
文献类型：
--
作者：
D. Kaneko;M. Ohnishi;T. Ishiyama
本研究旨在开发一种遥感方法，用于监测日本和亚洲作物生长初期的粮食产量。提出了一个基于光合作用的水稻作物生产指数CPI，该指数考虑了太阳辐射、有效气温和植被生物量的归一化植被指数。CPI指数包括温度对谷物植物叶片光合作用的影响、不育的低温影响、生长延迟引起的夏季冷害和高温伤害等温度影响。后一种因素在作物抽穗期左右是重要的。在日本中部和北方的10个监测点验证了大米的CPI指数。该方法基于常规观测数据，允许自动监测任意地点的作物产量，而无需任何特殊观测。利用日本地球同步卫星提供的太阳辐射数据、NOAA AVHRR提供的归一化植被指数（NDVI）和世界天气数据，将CPI指数应用于中国五个地区的水稻生产。
This research aims to develop a remote sensing method for monitoring grain production in the early stages of crop growth in Japan and Asia. A photosynthesis based crop production index CPI for rice is proposed that takes into consideration the solar radiation, the effective air temperature, and NDVI as a factor representing vegetation biomass. The CPI index incorporates temperature influences such as the effect of temperature on photosynthesis by grain plant leaves, low-temperature effects of sterility, cool summer damage due to delayed growth, and high-temperature injury. These latter factors are significant at around the heading period of crops. The CPI index for rice was validated at ten monitoring sites in the central and northern half of Japan. The method is based on routine observation data, allowing automated monitoring of crop production at arbitrary sites without any special observations. The CPI index is applied to rice production in five regions of China, using solar irradiation data from the Japanese Geostationary Satellite, the Normalized Vegetation Index (NDVI) derived from NOAA AVHRR, and world weather data.
当前水资源限制时代中国和印度农作物生产早期监测方法的建议
DOI：
--
发表时间：
2003
期刊：
Environmental Systems Research 31
影响因子：
--
作者：
Kaneko.D;Ohnishi.M
通讯作者：
Ohnishi.M
利用气象数据和 NDVI 基于光合作用的指数监测作物生产
DOI：
--
发表时间：
2003
期刊：
Proceedings of The CEReS International Symposium on Remote Sensing, -Monitoring of Environmental Change in Asia, Center for Environmental Remote Sensing, Chiba University, Japan. 2004
影响因子：
--
作者：
Kaneko;D.
通讯作者：
D.