Monitoring of Crop Yields and CO₂ Fixation by a Photosynthetic-Sterility Model Using Satellites and Meteorological Data in Asia
Monitoring of Crop Yields and CO₂ Fixation by a Photosynthetic-Sterility Model Using Satellites and Meteorological Data in Asia
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利用亚洲卫星和气象数据通过光合不育模型监测作物产量和二氧化碳固定
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
D. Kaneko
中科院分区：
文献类型：
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作者：
D. Kaneko
这项研究旨在开发一个模型，用于估计碳循环中的二氧化碳固定和使用光合不育模型监测谷物产量，该模型集成了太阳辐射和气温对光合作用的影响，以及从抽穗到成熟的籽粒灌浆。粮食生产监测将支持有序的危机管理，以维护亚洲的粮食安全。在本世纪全球变暖的过程中，亚洲正面临气候波动。决策树方法使用MODIS基本土地覆盖和SPOT植被数据对亚洲农作物的分布进行分类，其中包括归一化植被指数(NDVI)和陆地地表水指数(LSWI)。这项研究提供了亚洲地区固定二氧化碳的光合作用速率的日分布，结合日本地球静止气象卫星(GMS)的土地覆盖分布和国家环境预测中心(NCEP)的气象再分析数据。该方法以常规观测数据为基础，实现了作物产量的自动监测。
This study is intended to develop a model for estimating CO2 fixation in the carbon cycle and for monitoring grain yields using a photosynthetic-sterility model, which integrates solar radiation and air temperature effects on photosynthesis, along with grain-filling from heading to ripening. Grain production monitoring would support orderly crisis management to maintain food security in Asia, which is facing climate fluctuation through this century of global warming. A decision-tree method classifies the distribution of crop fields in Asia using MODIS fundamental land-cover and SPOT VEGETATION data, which include the Normalized Vegetation index (NDVI) and Land Surface Water Index (LSWI). This study provides daily distributions of the photosynthesis rate, which is the CO2 fixation in Asian areas combined with the land-cover distribution, the Japanese geostationary meteorological satellite (GMS), and meteorological re-analysis data by National Centers for Environmental Prediction (NCEP). The method is based on routine observation data, enabling automated monitoring of crop yields.