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 -
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 -
批准号:
14390055
负责人:
KANEKO Daijiro
金额:
$3.78万
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
项目状态:
已结题
起止时间:
2002 至 2004
中文摘要
本研究的目的是开发一种遥感方法,在日本和中国的作物生长的早期阶段监测粮食生产。重要的是在早期阶段监督生产中的粮食数量,以便在出现歉收时提前发出警报,特别是考虑到亚洲人口迅速增加和水资源长期紧张。迄今为止,监测谷物产量的方法除了降水量数据外,还包括大气温度累积指数或植被指数归一化差异植被指数。然而,人口快速增长导致的水分限制的新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。粮食生产监测将有助于有序的危机管理,以维持日本的粮食安全,日本的粮食产量远远不能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 ...更多信息 生产指数CPI考虑到所有因素:太阳辐射、有效气温、植被生物量、温度对谷类植物叶片光合作用的影响、低温不育和高温伤害。基于光合作用的作物生产指数CPI在8年内准确预测了10个监测点的水稻产量和日本作物状况指数,包括过去15年来最差的产量。特别强调水稻生产,因为稻田需要大量灌溉。研究报告了在控制室中测量水稻植物叶片的反射光谱以包括缺水的影响。探讨了利用短波红外反射率建立的SRWI(简单比值水分指数)和NDWI(归一化差异水分胁迫)水分胁迫指数的适用性,为MODIS和ASTER的进一步应用奠定了基础。在对日本全国水稻田的作物生产指数进行验证后,将光合作用型作物生产指数应用于中国,利用日本地球同步卫星获得的亚洲地区太阳辐射数据和NOAA AVHRR获得的生物量NDVI数据,沿着世界气象资料,计算了中国水稻田的作物生产指数。估算结果与我国农作物产量统计数据进行了初步比较。少
英文摘要
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
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Proposal of a photosynthesis type of crop yield index for monitoring crop production in China and India in the era of water resource restriction
水资源限制时代监测中国和印度作物生产的光合作用作物产量指数的提出
DOI:
--
发表时间:
2004
期刊:
Proceedings of the 4th International Crop Science Congress, Brisbane, Australia 4(printing)
影响因子:
--
作者:
[Kaneko, D., Ohnishi, M., Ishiyama, T., Tateishi, R.]
通讯作者:
R.
世界気象データによる全天日射量の推定-衛星を用いた穀物生産量のモニタリング-,第6回水資源に関するシンポジウム
利用世界气象数据估算全球太阳辐射 - 利用卫星监测粮食生产 - 第六届水资源研讨会
DOI:
--
发表时间:
2002
期刊:
第6回水資源に関するシンポジウム 6
影响因子:
--
作者:
[金子大二郎]
通讯作者:
金子大二郎
Estimation of global radiation using world weather data for early monitoring for crop production by satellites
利用世界天气数据估算全球辐射,以便通过卫星对作物生产进行早期监测
DOI:
--
发表时间:
2002
期刊:
The 6th Symposium on Water Resources, Tokyo, Science Council of Japan ; (Japan Society of Civil Engineering, Meteorological Society of Japan, Japan Society of Water Environment, Japanese Forestry Society, Japan Society of Hydrology and Water Resources)
影响因子:
--
作者:
[Takeshi Minami, Akira Imai, SETSUO IMAZU, Kaneko.D]
通讯作者:
Kaneko.D
GMS日射量と世界気象データを用いた光合成型穀物生産指標の中国への試験的適用
利用GMS太阳辐射和世界天气数据在中国试行光合粮食生产指数
DOI:
--
发表时间:
2005
期刊:
システム農学会2005年度春季シンポジウム・一般研究発表会要旨集 2005
影响因子:
--
作者:
[金子大二郎, 糸原俊広]
通讯作者:
糸原俊広
金子大二郎・大西政夫: "植生指標NDVIと気象データによる穀物の作況監視指標のモデリング-中国・インドの穀物生産量モニタリング-"日本作物学会記事,第216回日本作物学会講演会要旨・資料集. 第72巻, 別号2. 92-93 (2003)
Daijiro Kaneko 和 Masao Onishi:“利用植被指数 NDVI 和气象数据对粮食监测指标进行建模 - 中国和印度的粮食生产监测 -”日本作物科学学会文章,第 216 届日本作物科学学会会议摘要和材料集第 72 卷,特刊 2. 92-93 (2003)
DOI:
--
发表时间:
期刊:
影响因子:
--
作者:
[]
通讯作者:
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国内基金
海外基金
RGD-68Ga@AuNCs PET监测PRMT5通过VEGFA调节肺腺癌血管新生的功能及机制
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批准号:82372007
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项目类别:面上项目
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资助金额:48.00万元
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批准年份:2023
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负责人:谢文晖
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依托单位: