Estimation of Rice Situation Index in Japan Using Remotely Sensed and Meteorological Data
Estimation of Rice Situation Index in Japan Using Remotely Sensed and Meteorological Data
复制标题
利用遥感和气象数据估算日本水稻状况指数
DOI：
10.11440/rssj1981.26.202
复制
发表时间：
2006
影响因子：
--
通讯作者：
D. Kaneko
中科院分区：
文献类型：
--
作者：
D. Kaneko
本研究的目的是开发一种遥感方法监测水稻生产在日本。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、有效气温和归一化植被指数NDVI作为代表植被生物量的因子。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。这些因素在水稻抽穗期前后是显著的。大米的CPI指数是在关东、东北和北海道地区的10个监测点模拟的，这些地区偶尔会因低温而遭受歉收。本文提出的基于光合作用的作物生产指数CPI可以利用NDVI、气象观测站的太阳辐射和AMeDAS站点的气温来预测水稻的作物状况指数。该方法是基于常规观测数据，允许在日本的任意地点的水稻情况指数的自动化监测。但是，可以进一步完善用于早期监测的水稻状况指数的估算公式。
This research aims to develop a remote sensing method for monitoring rice production in Japan. A photosynthesisbased crop production index CPI for rice is proposed that takes into consideration the solar radiation, the effective air temperature, and normalized vegetation index 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 rice. The CPI index for rice was modeled at ten monitoring sites in the Kanto, Tohoku, and Hokkaido districts, which occasionally tend to suffer poor harvests as a result of low temperatures. The photosynthesis-based crop production index CPI proposed here can predict the crop situation index of rice by using NDVI, solar radiation at meteorological observatories and air temperature at AMeDAS sites. The method is based on routine observation data, allowing automated monitoring of rice situation index at arbitrary sites in Japan. However, it is possible to further refine the estimation formula for the rice situation index for early monitoring.
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.