アジア水稲作況作成のための農業気象提供システムの構築
The Asia Rice Crop Estimation and Monitoring (Asia-RiCE) initiative was launched by Asian space and agricultural agencies in 2012. The initiative promotes strengthening rice monitoring abilities through the use of remote sensing tools, and disseminating relevant, timely and accurate estimation of ri...
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Published in | Shashin sokuryō to rimōto senshingu Vol. 55; no. 3; pp. 200 - 205 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | Japanese |
Published |
Tokyo
一般社団法人 日本写真測量学会
2016
Japan Science and Technology Agency |
Subjects | |
Online Access | Get full text |
ISSN | 0285-5844 1883-9061 |
DOI | 10.4287/jsprs.55.200 |
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Abstract | The Asia Rice Crop Estimation and Monitoring (Asia-RiCE) initiative was launched by Asian space and agricultural agencies in 2012. The initiative promotes strengthening rice monitoring abilities through the use of remote sensing tools, and disseminating relevant, timely and accurate estimation of rice production. In this study, we develop a web-based system (JAXA's Satellite-based Monitoring Network system : JASMIN) to monitor the agrometeorological conditions of paddy areas in Southeastern Asia. JASMIN collects various satellite-derived agrometeorological data, provided by individual servers or websites, and then reprocesses the data spatially and temporally so that it can be used in the initiative. This system provides current and anomalous condition maps, as well as time-series chart in agrometeorological data such as soil moisture, solar radiation, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), precipitation, and drought index, via the JASMIN website. This satellite-derived information, updated twice a month, is currently used to produce rice growth outlook for Indonesia, Thailand, Philippines, and Vietnam, as part of the Asia-RiCE initiative. |
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AbstractList | The Asia Rice Crop Estimation and Monitoring (Asia-RiCE) initiative was launched by Asian space and agricultural agencies in 2012. The initiative promotes strengthening rice monitoring abilities through the use of remote sensing tools, and disseminating relevant, timely and accurate estimation of rice production. In this study, we develop a web-based system (JAXA's Satellite-based Monitoring Network system : JASMIN) to monitor the agrometeorological conditions of paddy areas in Southeastern Asia. JASMIN collects various satellite-derived agrometeorological data, provided by individual servers or websites, and then reprocesses the data spatially and temporally so that it can be used in the initiative. This system provides current and anomalous condition maps, as well as time-series chart in agrometeorological data such as soil moisture, solar radiation, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), precipitation, and drought index, via the JASMIN website. This satellite-derived information, updated twice a month, is currently used to produce rice growth outlook for Indonesia, Thailand, Philippines, and Vietnam, as part of the Asia-RiCE initiative. |
Author | 奥村, 俊夫 祖父江, 真一 金子, 豊 大吉, 慶 武藤, 太郎 小林, 和史 |
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References | FAO. 2009. How to feed the world in 2050. High-level Expert Forum Rome, Italy, 24-26 June. 農林水産省,2015,国際的な食料需給の動向と我が国の食料供給への影響(2015年11月).pp. 24 Whitcraft, A.K., Becker-Reshef, I., and Justice, C.O., 2015. A Framework for defining spatially explicit earth observation requirements for a Global Agricultural Monitoring Initiative (GEOGLAM). Remote Sensing, 7, pp. 1461-1481. Oyoshi, K., Tomiyama, N., Okumura, T., Sobue, S., and Sato, J., Mapping rice-planted areas using time-series synthetic aperture radar data for the Asia-RiCE activity. Paddy and Water Environment, in print. D'Odorico, P., Carr, J.A., Laio2, F., Ridolfi., L., and Vandoni, S. 2014. Feeding humanity through global food trade. AGU Earth's Future., 2, pp. 458-469. 気象庁,2005.気象観測統計の解説.pp. 114-128 Meeting of G20 Agriculture Ministers, 2011. Ministerial declaration action plan on food price volatility and agriculture. http://www.oecd.org/g20/topics/agriculture-food-security/2011-06-23_-_Action_Plan_-_VFinale.pdf (accessed 20 Dec. 2015) FAO, IFAD and WFP. 2014. The state of food insecurity in the world. Strengthening the enabling environment for food security and nutrition. FAO, Rome, pp. 8. Takeuchi, W., Darmawan, S., Shofiyati, R. Khiem, M.V., Oo, K.S., Pimple, U. and Heng, S. 2015 Near-real time meteorological drought monitoring and early warning system for croplands in Asia. Proceedings of the 36th Asian Conference on Remote Sensing, Manila, Philippines. 祖父江真一,大吉 慶,奥村俊夫,冨山信弘,金子 豊,2014.GEO全球農業監視プロジェクトアジア稲作チーム活動について.日本リモートセンシング学会誌.34(4),pp. 314-318 Frouin, R., and Murakami, H. 2007 Estimating photosynthetically available radiation at the ocean surface from ADEOS-II global imager data. Journal of Oceanography, 63, pp. 493-503. Saigusa, N., Ichii, K., Murakami, H., Hirata, R., Asanuma, J., Den, H., Han, S.J., Ide, R., Li, S.G., Ohta, T., Sasai, T., Wang, S.Q., and Yu, G.R., 2010. Impact of meteorological anomalies in the 2003 summer on Gross Primary Productivity in East Asia. Biogeosciences, 7, pp. 641-655. Fujii, H., Koike, T., and Imaoka, K. 2009 Improvement of the AMSR-E algorithm for soil moisture estimation by introducing a fractional vegetation coverage dataset derived from MODIS data. Journal of The Remote Sensing Society of Japan, 29(1), pp. 282-292. 可知美佐子,久保田拓志,牛尾知雄,重 尚一,木田智史,青梨和正,岡本謙一,沖 理子,2011.複数の衛星搭載マイクロ波/赤外放射計の複合による「世界の雨分布速報」システムの構築とその利用.電気学会A部門誌,131(9),pp. 729-737 Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Seto, S., Hirose, M., Takayabu, Y.N., Nakagawa, K., Iwanami, K., Ushio, T., Kachi, M. and Okamoto, K. 2007. Global precipitation map using satelliteborne microwave radiometers by the GSMaP project : Production and validation. IEEE Transactions on Geoscience and Remote Sensing, 45(7), pp. 2259-2275. |
References_xml | – reference: 祖父江真一,大吉 慶,奥村俊夫,冨山信弘,金子 豊,2014.GEO全球農業監視プロジェクトアジア稲作チーム活動について.日本リモートセンシング学会誌.34(4),pp. 314-318. – reference: Oyoshi, K., Tomiyama, N., Okumura, T., Sobue, S., and Sato, J., Mapping rice-planted areas using time-series synthetic aperture radar data for the Asia-RiCE activity. Paddy and Water Environment, in print. – reference: FAO. 2009. How to feed the world in 2050. High-level Expert Forum Rome, Italy, 24-26 June. – reference: D'Odorico, P., Carr, J.A., Laio2, F., Ridolfi., L., and Vandoni, S. 2014. Feeding humanity through global food trade. AGU Earth's Future., 2, pp. 458-469. – reference: Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Seto, S., Hirose, M., Takayabu, Y.N., Nakagawa, K., Iwanami, K., Ushio, T., Kachi, M. and Okamoto, K. 2007. Global precipitation map using satelliteborne microwave radiometers by the GSMaP project : Production and validation. IEEE Transactions on Geoscience and Remote Sensing, 45(7), pp. 2259-2275. – reference: FAO, IFAD and WFP. 2014. The state of food insecurity in the world. Strengthening the enabling environment for food security and nutrition. FAO, Rome, pp. 8. – reference: 可知美佐子,久保田拓志,牛尾知雄,重 尚一,木田智史,青梨和正,岡本謙一,沖 理子,2011.複数の衛星搭載マイクロ波/赤外放射計の複合による「世界の雨分布速報」システムの構築とその利用.電気学会A部門誌,131(9),pp. 729-737. – reference: Whitcraft, A.K., Becker-Reshef, I., and Justice, C.O., 2015. A Framework for defining spatially explicit earth observation requirements for a Global Agricultural Monitoring Initiative (GEOGLAM). Remote Sensing, 7, pp. 1461-1481. – reference: 農林水産省,2015,国際的な食料需給の動向と我が国の食料供給への影響(2015年11月).pp. 24. – reference: 気象庁,2005.気象観測統計の解説.pp. 114-128. – reference: Meeting of G20 Agriculture Ministers, 2011. Ministerial declaration action plan on food price volatility and agriculture. http://www.oecd.org/g20/topics/agriculture-food-security/2011-06-23_-_Action_Plan_-_VFinale.pdf (accessed 20 Dec. 2015) – reference: Takeuchi, W., Darmawan, S., Shofiyati, R. Khiem, M.V., Oo, K.S., Pimple, U. and Heng, S. 2015 Near-real time meteorological drought monitoring and early warning system for croplands in Asia. Proceedings of the 36th Asian Conference on Remote Sensing, Manila, Philippines. – reference: Saigusa, N., Ichii, K., Murakami, H., Hirata, R., Asanuma, J., Den, H., Han, S.J., Ide, R., Li, S.G., Ohta, T., Sasai, T., Wang, S.Q., and Yu, G.R., 2010. Impact of meteorological anomalies in the 2003 summer on Gross Primary Productivity in East Asia. Biogeosciences, 7, pp. 641-655. – reference: Fujii, H., Koike, T., and Imaoka, K. 2009 Improvement of the AMSR-E algorithm for soil moisture estimation by introducing a fractional vegetation coverage dataset derived from MODIS data. Journal of The Remote Sensing Society of Japan, 29(1), pp. 282-292. – reference: Frouin, R., and Murakami, H. 2007 Estimating photosynthetically available radiation at the ocean surface from ADEOS-II global imager data. Journal of Oceanography, 63, pp. 493-503. |
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Title | アジア水稲作況作成のための農業気象提供システムの構築 |
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