System development for grain yields and desertification along with carbon sequestration in Asia using photosynthesis model
使用光合作用模型开发亚洲粮食产量和荒漠化以及碳封存的系统
基本信息
- 批准号:21580319
- 负责人:
- 金额:$ 3万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2009
- 资助国家:日本
- 起止时间:2009 至 2011
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The recent concern about food scarcity motivates the development of the present system entitled "Remote Sensing Environmental Monitor(RSEM)". The system is designed for treating carbon sequestration by vegetation, grain production, desertification of Eurasian grassland, and CDM afforestation/reforestation to a background of climate change and economic growth in rising Asian nations. The system includes a photosynthetic sterility crop yield model based on precise land use and cover(LULC) classification of crop field in two eastern Asian countries. This system also provides daily distributions of the PSN, which is the CO_2 fixation in Asian areas combined with the land-cover distribution classified from MODIS data, NDVI from SPOT VEGETATION, and meteorological re-analysis data by NCEP, U. S. A. The validation concept is based on the fact that the carbon hydrate in grains has the same chemical formula as cellulose in grain vegetation. The both photosynthesis and sterility models are calibrated by Carbon Partitioning Validation(CPV) method associated with particular rice species in Japan and China. However, more crop yield data are needed for validation of winter wheat and maize models. The mean CO_2 and carbon fixation rates in paddy areas were 25. 92(t CO_2/ha) and 5. 28(t C/ha) in Japan, respectively.
最近对粮食短缺的关注激发了名为“遥感环境监测(RSEM)”的当前系统的开发。该系统旨在处理植被、粮食生产、欧亚草原荒漠化和CDM造林/再造林的碳固存,以应对亚洲新兴国家的气候变化和经济增长。该系统包括一个光合不育作物产量模型的基础上精确的土地利用和覆盖(LULC)分类的作物领域在两个东亚国家。该系统还结合MODIS数据分类的土地覆盖分布、SPOT VEGETATION数据的NDVI以及NCEP、U. S. A.验证概念基于谷物中的碳水化合物与谷物植被中的纤维素具有相同的化学式。利用碳分配验证(CPV)方法对日本和中国的水稻品种光合作用和不育性模型进行了校正。然而,需要更多的作物产量数据来验证冬小麦和玉米模型。稻田的平均CO_2固定率和固碳率分别为25。92(t CO_2/ha)和5. 28(t C/ha)。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
SPOT植生指標の減少域とMODIS土地被覆データによるアジアの沙漠化進行域の抽出
利用SPOT植被指数面积减少和MODIS土地覆盖数据提取亚洲荒漠化面积
- DOI:
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:金子大二郎;楊鵬
- 通讯作者:楊鵬
Developing a desertification assessment system using a photosynthesis model with asimillated multi satellite data
- DOI:
- 发表时间:2010
- 期刊:
- 影响因子:0
- 作者:D. Kaneko;P. Yang;N. Chang;T. Kumakura
- 通讯作者:D. Kaneko;P. Yang;N. Chang;T. Kumakura
Data assimilation for crop yield and CO_2 fixation monitoring in Asia by a photosynthetic-sterility model using satellites and meteorological data
利用卫星和气象数据的光合不育模型对亚洲作物产量和CO_2固定监测进行数据同化
- DOI:
- 发表时间:2009
- 期刊:
- 影响因子:0.9
- 作者:Kaneko;D.;T. Kumakura;P. Yang
- 通讯作者:P. Yang
DEVELOPING A DESERTIFICATION ASSESSMENT SYSTEM USING A PHOTOSYNTHESIS MODEL WITH ASIMILLATED MULTI SATELLITE DATA, ISPRS Technical Commission VIII Symposium
使用同化多卫星数据的光合成模型开发荒漠化评估系统,ISPRS 第八技术委员会研讨会
- DOI:
- 发表时间:2010
- 期刊:
- 影响因子:0
- 作者:D. Kaneko;P. Yang;N. B. Chang;T. Kumakura
- 通讯作者:T. Kumakura
Improvements of rice and wheat production models by carbon partitioning with multi-satellite imageries and meteorological reanalysis data
利用多卫星图像和气象再分析数据进行碳划分改进水稻和小麦生产模型
- DOI:
- 发表时间:2011
- 期刊:
- 影响因子:0
- 作者:Daijiro Kaneko;Peng Yang;N.B. Chang;Toshiro Kumakura
- 通讯作者:Toshiro Kumakura
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KUMAKURA Toshiro其他文献
Relationships between Radar Reflectivity Factor and Liquid-Equivalent Snowfall Rate Derived by Direct Comparison of X-Band Radar and Disdrometer Observations in Niigata Prefecture, Japan
通过直接比较日本新泻县 X 波段雷达和测速仪观测结果得出雷达反射率因子与液体当量降雪率之间的关系
- DOI:
10.2151/jmsj.2022-002 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
NAKAI Sento;YAMASHITA Katsuya;MOTOYOSHI Hiroki;KUMAKURA Toshiro;MURAKAMI Shigeki;KATSUSHIMA Takafumi - 通讯作者:
KATSUSHIMA Takafumi
KUMAKURA Toshiro的其他文献
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{{ truncateString('KUMAKURA Toshiro', 18)}}的其他基金
A study on generating high resolution horizontal distribution of snowfall with dense observations.
通过密集观测生成高分辨率降雪水平分布的研究。
- 批准号:
18K04655 - 财政年份:2018
- 资助金额:
$ 3万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Practical study on lossless measurement of solid precipitation for heavy snow disaster
大雪灾害固体降水无损测量实用研究
- 批准号:
26350485 - 财政年份:2014
- 资助金额:
$ 3万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
SWE observation and analysis with newly developed rain/snow discriminator in Hokuriku
使用北陆新开发的雨雪鉴别器进行 SWE 观测和分析
- 批准号:
18310126 - 财政年份:2006
- 资助金额:
$ 3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
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