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¥ê¥â¥»¥ó¸×¤Î·ê - ÍúÎò_2007 Diff

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!2007ǯ12·î25Æü
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* ¥¿¥¤¥È¥ë: GEO Grid¤Î¾Ò²ð
* ³µÍס§GEO Grid¤Î³µÍפȤ³¤ì¤Þ¤Ç¤ÎÀ®²Ì¤ò¤´¾Ò²ð¤¹¤ë¤¿¤á¡¢Íèǯ1·î22Æü¤ËÂè2²ó¤Î¥ï¡¼¥¯¥·¥ç¥Ã¥×¤ò¹Ô¤¦¤³¤È¤Ë¤Ê¤ê¤Þ¤·¤¿¡£http://docs.geogrid.org/2nd_GGWS ¤³¤ì¤ËÀè¶î¤±¡¢GEO Grid¤Î³«È¯¾õ¶·¤ò¤´ÀâÌÀ¤¤¤¿¤·¤Þ¤¹¡¥

»³ËÜ¡¡¹ÀËü(»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê¥°¥ê¥Ã¥É¸¦µæ¥»¥ó¥¿¡¼Ãϵå´Ñ¬¥°¥ê¥Ã¥É¥Á¡¼¥à)
* ¥¿¥¤¥È¥ë: Development of the radiometric/atmospheric correction processing system for ASTER/MODIS data using GEO grid
* ³µÍס§Åê¹ÆÀèIEEE TGARS Special issue on Data Archiving and Distribution <http://www.grss-ieee.org/menu.taf?menu=publications&detail=tgars>

!2007ǯ12·î18Æü
Éڰ桡ľÌï(ÆÈΩ¹ÔÀ¯Ë¡¿Í¡¡±§Ãè¹Ò¶õ¸¦µæ³«È¯µ¡¹½ ±§ÃèÍøÍÑ¿ä¿ÊËÜÉôÃϵå´Ñ¬¸¦µæ¥»¥ó¥¿¡¼)
* ¥¿¥¤¥È¥ë:Ãϵå´Ä¶­ÊÑÆ°´Ñ¬¥ß¥Ã¥·¥ç¥ó¡ÊGCOM)¤Ë¤Ä¤¤¤Æ
* ³µÍס§¿Í¹©±ÒÀ±¤Ë¤è¤ëÃϵå´Ñ¬¤Ï¡¢Á´µåÃϵå´Ñ¬¥·¥¹¥Æ¥à¡ÊGEOSS¡Ë¡¢³¤ÍÎÃϵå´Ñ¬õºº¥·¥¹¥Æ¥à¤È¤¤¤Ã¤¿Áí¹çŪ¤Ê´Ñ¬¥·¥¹¥Æ¥à¤Î½ÅÍפʥ³¥ó¥Ý¡¼¥Í¥ó¥È¤Ç¤¢¤ë¡£JAXA¤¬¿Ê¤á¤ëÃϵå´Ä¶­ÊÑÆ°´Ñ¬¥ß¥Ã¥·¥ç¥ó¡ÊGCOM¡Ë¤Ï¾åµ­¤Ë¹×¸¥¤¹¤ë±ÒÀ±·×²è¤Î¤Ò¤È¤Ä¤Ç¤¢¤ê¡¢GCOM-C¡ÊClimate¡Ë¤ª¤è¤ÓGCOM-W¡ÊWater¡Ë¤È¤¤¤¦2µ¡¤Î±ÒÀ±¤òÊ£¿ôÀ¤ÂåÂǾ夲¡¦´Ñ¬±¿ÍѤ¹¤ë¤³¤È¤Ç¡¢10¡Á15ǯµ¬ÌϤÎĹ´ü´Ñ¬¤òÌܻؤ¹¡£GCOMÂè1´ü¤Î±ÒÀ±¤ÎGCOM-C1¤Ï´Ä¶­´Ñ¬µ»½Ñ±ÒÀ±¡ÊADEOS-II¡ËÅëºÜ¤Î¥°¥í¡¼¥Ð¥ë¡¦¥¤¥á¡¼¥¸¥ã¡ÊGLI¡Ë¤Î¸å·Ñ¥»¥ó¥µ¤Ç¤¢¤ë¿ÇÈŸ÷³ØÊü¼Í·×¡ÊSGLI¡Ë¤ò¡¢GCOM-W1¤ÏADEOS-IIÅëºÜ¤Î¹âÀ­Ç½¥Þ¥¤¥¯¥íÇÈÊü¼Í·×¡ÊAMSR¡Ë¤ª¤è¤ÓNASA¤ÎEOS Aqua±ÒÀ±ÅëºÜAMSR-E¤Î¸å·Ñ¥»¥ó¥µ¤Ç¤¢¤ë¹âÀ­Ç½¥Þ¥¤¥¯¥íÇÈÊü¼Í·×2¡ÊAMSR2¡Ë¤ò¤½¤ì¤¾¤ìÅëºÜ¤·¡¢Î¾¼Ô¤ÎÊ»ÍѤˤè¤êµ¤¸õÊÑÆ°¡¦¿å½Û´ÄÊÑÆ°´Ñ¬¤ËɬÍפÊÉý¹­¤¤ÃϵåʪÍýÎ̥ǡ¼¥¿¤ò¼èÆÀ¤¹¤ë¡£GCOM¤ÎÌÜŪ¡¢±ÒÀ±¥·¥¹¥Æ¥à¤ÈÅëºÜ¥»¥ó¥µ³µÍס¢¤ª¤è¤Ó´üÂÔ¤µ¤ì¤ëÀ®²Ì¤Ë¤Ä¤¤¤ÆÀâÌÀ¤¹¤ë¡£¤Þ¤¿¡¢¾­Íè¤ÎJAXAÃϵå´Ñ¬±ÒÀ±·×²è¤Î³µÍפâÊ»¤»¤ÆÀâÌÀ¤¹¤ë¡£

!2007ǯ12·î11Æü
Ëܲ¬¡¡µ£¡ÊÃÞÇÈÂç³Ø ´Ä¶­²Ê³Ø¸¦µæ²Ê M2¡Ë
* ¥¿¥¤¥È¥ë:¡ÖŸÍÕ·¿¤Î°ã¤¤¤òÈ¿±Ç¤¹¤ëʬ¸÷¿¢À¸»Øɸ¤Î³«È¯¡×
* ³µÍס§Åê¹ÆÏÀʸ¥É¥é¥Õ¥È¡ÊÏÂʸ¡Ë

!2007ǯ12·î04Æü
Dr. Preesan Rakwatin±§Ãè¹Ò¶õ¸¦µæ³«È¯µ¡¹½(JAXA) Ãϵå´Ñ¬¸¦µæ¥»¥ó¥¿¡¼(EORC)
* ¥¿¥¤¥È¥ë¡¡"Noise Reduction in MODIS data".
* ³µÍס§MODIS aboard Terra and Aqua platforms was intended to provide frequent high-resolution images for monitoring land, ocean, atmospheric over large areas. Unfortunately, MODIS data are contaminated by stripe noises. There are three types of stripe noises in MODIS data: detector-to-detector stripe, mirror side stripe, and noisy stripe. Without correction, stripe noises will cause processing errors to the MODIS products included MODIS cloud detection. In this presentation, a noise reduction algorithm is developed to reduce the stripe noise effects in both Terra MODIS and Aqua MODIS data by combining histogram matching algorithm with iterated weighted least-squares facet filter. Histogram matching corrects for detector-to-detector stripe and mirror side stripe. Iterated weighted least-squares facet filter corrects for noisy stripe. Another problem of MODIS data is Aqua MODIS band 6 (1.628 - 1.652 um). 15 of the 20 detectors in Aqua MODIS band 6 are either nonfunctional or noisy. Furthermore, the rest of the functional detectors is also contaminated by detector-to-dector stripe. The striping in Aqua MODIS band 6 caused by its nonfunctional or noisy detectors has been a serious problem for MODIS products and applications. MODIS band 6 is primarily used for cloud and snow detection, aerosol product, and forest biomass estimation. The restoration of Aqua MODIS band 6 is first eliminate detector-to-detector stripe using Histogram matching and then restore missing data by using a gray-level transformation at each pixel of the non-functional detectors. Polynomial regressing is used to quantify the relationship between Aqua MODIS band 6 and 7.

!2007ǯ11·î27Æü (GTRC¥»¥ß¥Ê¡¼)
Dr. Vivarad Phonekeo (Geoinformatics Center, Asian Institute of Technology)
* ¥¿¥¤¥È¥ë"Near Real Time Active Fire Monitoring System for Southeast Asia using MODIS Imagery".
* ³µÍס§This presentation introduces the development of the near real-time active fire monitoring system using daily MODIS data receiving at the Geoinformatics Center, Asian Institute of Technology, Pathumthani, Thailand. The system was developed for the purpose to monitor the active fire occurrence in Southeast Asian region, which is considered as disaster in regional scales that has negative impact to the environment and socio-economical development. Even though forest fire or wild fires are natural and man-made phenomena, however it cause significant loss of the forest and various environmental problem related to the air pollution, acid rain and the increasing of greenhouse gases. Using daily MODIS data receives at Geoinformatics Center, AIT, the active fire phenomena can be monitored in near real-time by the developed information system which consist of several modules, that can efficiently provide the capability to the users to access, visualize using Google Earth, analyze the information, and retrieve the fire information from the database in order to understand the process of the active fire occurrence in the region and for further research in the related field, as well as decision-making tool for the development of the forest fire disaster prevention policies.

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* ¥¿¥¤¥È¥ë¡¡±ÒÀ±´Ñ¬¤ÈÃϾå´Ñ¬¤ÎÅý¹çÍøÍѤˤè¤ëÅÚÃÏÈïʤ¤ÎÇÄ°®

!2007ǯ11·î20Æü ´ôÉìÂç³Ø¤ÎJSPS A3¥×¥í¥¸¥§¥¯¥È¤Î¥¤¥Ù¥ó¥È¤Ø¹çή

!2007ǯ11·î13Æü
ÂçÀС¡Í¥¡Ê¾åÃÒÂç³ØÂç³Ø±¡¡¡Ãϵå´Ä¶­³Ø¸¦µæ²Ê¡Ë
* ¥¿¥¤¥È¥ë¡§Ãϵå´Ä¶­±ÒÀ±¤Ë¤è¤ë¹­°è±À¥Þ¥¹¥¯¥×¥í¥À¥¯¥È¤ÎÀºÅÙ
* ³µÍס§ASTER¤òÍѤ¤¤¿MODIS±À¥Þ¥¹¥¯¤ÎÀºÅÙ¸¡¾Ú¡¥

¹»Ö¹ä¡ÊÃÞÇÈÂç³ØÂç³Ø±¡Çî»Î²ÝÄøÀ¸Ì¿´Ä¶­²Ê³Ø¸¦µæ²Ê¡Ë
* ¥¿¥¤¥È¥ë:A New Model of Land Surface Evapotranspiration for Semiarid Agricultural Region Based Solely On Remote Sensing Data (Sim-ReSET Model)
* ³µÍס§With the purpose of estimating land surface evapotranspiration independent on the ground data, A new ET model was developed based solely on remote sensing data. Its result agreed with the measurements in a semiarid agricultural region.

!2007ǯ11·î06Æü
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* ¥¿¥¤¥È¥ë:¡¡²ÐÀ±¡¦¥Þ¥ê¥Í¥ê¥¹¶®Ã«Æâ¤Îº½¿Ð¡¡²ÐÀ±Ãµººµ¡¥Þ¡¼¥º¥¨¥­¥¹¥×¥ì¥¹¤Î´Ñ¬
* ³µÍס§²¤½£±§Ã赡´Ø¤Î²ÐÀ±Ãµººµ¡¥Þ¡¼¥º¥¨¥­¥¹¥×¥ì¥¹¤Ë¤Ï¡¢¹â´¶ÅÙ¥¹¥Æ¥ì¥ª¥«¥á¥éHRSC¤È¥Þ¥Ã¥Ô¥ó¥°Ê¬¸÷´ïOMEGA¤¬ÅëºÜ¤µ¤ì¤Æ¤¤¤ë¡£¤³¤Îξµ¡´ï¤Ï¡¢2004ǯ£µ·î¡¢²ÐÀ±ÀÖÆ»°è¤Î¥Þ¥ê¥Í¥ê¥¹¶®Ã«Æâ¤ËȯÀ¸¤·¤¿ðˤòȯ¸«¤·¤¿¡£ËÜȯɽ¤Ç¤Ï¡¢¤³¤Î¥Ç¡¼¥¿²òÀϤηë²Ì¤È¤·¤Æ¡¢ðˤλþ´ÖÊѲ½¡¢¼çÀ®Ê¬¤Î¸¡½Ð¡¢µ±ÅÙ²¹ÅÙ¡¢È¯À¸¹âÅÙ¡¢È¿¼ÍΨ¤Î³ÑÅٰ͸À­¡¢ðˤθ÷³ØŪ¸ü¤µ¤Î¿äÄê¤È¤½¤Î¥â¥Ç¥ë°Í¸À­¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë¡£Ëܸ¦µæ¤Ï"Dust Haze in Valles Marineris Observed by HRSC and OMEGA onboard Mars Express", A, Inada et al. ¤È¤·¤ÆJGR-Planet ¤Ë¼õÍýºÑ¤ß¤Ç¤¢¤ë¡£

ÅÄÃæ°¼»Ò(ÅìµþÂç³Ø¶õ´Ö¾ðÊó²Ê³Ø¸¦µæ¥»¥ó¥¿¡¼)
* ¥¿¥¤¥È¥ë:¡¡ Extraction of Urban Area Using ASTER Imagery and the Existing Land Cover Data
* ³µÍס§¡¡ACRSȯɽÎý½¬

!2007ǯ10·î30Æü
°ËÆ£¾¼É§¡ÊÆÈΩ¹ÔÀ¯Ë¡¿Í¹ñΩ´Ä¶­¸¦µæ½ê Ãϵå´Ä¶­¸¦µæ¥»¥ó¥¿¡¼¡¦Ãϵå¥Õ¥í¥ó¥Æ¥£¥¢¡Ë
* ¥¿¥¤¥È¥ë:Ãϵ奷¥¹¥Æ¥à¥â¥Ç¥ë¤Î¤¿¤á¤ÎÅÚÃÏÈïʤ¡¦ÍøÍѥǡ¼¥¿¤ÎÀ°È÷
* ³µÍס§Ãϵå¥Õ¥í¥ó¥Æ¥£¥¢¡Ê¤ª¤è¤Ó¤½¤Î¾¤Îµ¡´Ø¡Ë¤Ç³«È¯¤µ¤ì¤Æ¤¤¤ëÃϵ奷¥¹¥Æ¥à¥â¥Ç¥ë¤Ç¤Ï¡¢Î¦Ì̲áÄø¡¢ÃºÁǽ۴ġ¢¿¢À¸Æ°Â֤ʤɤÎΦ°è¥³¥ó¥Ý¡¼¥Í¥ó¥È¤ÇÊ̸ĤÎÅÚÃÏÈïʤ¥Ç¡¼¥¿¤òÍѤ¤¤Æ¤¤¤ë¡£ºÇ¶á¤ÎÅÚÃÏÈïʤ¥Ç¡¼¥¿¡Ê¥ê¥â¥»¥ó¤Ë¤è¤ë¤â¤Î¤ò´Þ¤à¡Ë¤òÍøÍѤ·¤¿ÅÚÃÏÈïʤ¥Ç¡¼¥¿¤Î¶¦Ä̲½¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£

!2007ǯ10·î23Æü
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* ¥¿¥¤¥È¥ë:ÅÚÃÏÈïʤ¥Ç¡¼¥¿¥»¥Ã¥È¤òÍѤ¤¤¿ÅÔ»Ô¥é¥ó¥¯¥µ¥¤¥º¥ë¡¼¥ë¤Î¸¡Æ¤
* ³µÍס§ËÜÏÀʸ¤Ç¤Ï¡¢ÅԻԤξ­ÍèȯŸ¤Ë±þÍѤ¹¤ë¤³¤È¤òÌÜŪ¤È¤·¤Æ¡¢Zipf¤Îˡ§¤¬ÅÔ»ÔÌÌÀѤËÂФ·¤ÆÀ®Î©¤¹¤ë²ÄǽÀ­¤Î¸¡Æ¤¤ò¹Ô¤¦¡£¤½¤Î¤¿¤á¡¢Á´µåÅÚÃÏÈïʤ¥Ç¡¼¥¿¥»¥Ã¥È¤òÍѤ¤¡¢ÎÙÀܤ¹¤ë¿Í¸ýÅÚÃÏÈïʤ¥¨¥ê¥¢¤ò¥¯¥é¥¹¥¿²½¤·¡¢³Æ¥¯¥é¥¹¥¿¤ÎÌÌÀѤò»»½Ð¤·¤Æ½ç°Ì²½¤ò¹Ô¤Ã¤¿¡£¤½¤Î·ë²Ì¡¢¿Í¸ýÅý·×¤òÍѤ¤¤¿¿Í¸ý½ç°Ì¤ÈƱÄøÅÙ¤Îˡ§À­¤¬Ç§¤á¤é¤ì¤¿¡£¤Þ¤¿¡¢Ê£¿ô¤Î¹ñ¤Ë¤ª¤¤¤Æ¡¢¿Í¸ý½ç°Ì¤òÍѤ¤¤¿¾ì¹ç¤È¤ÎÈæ³Ó¤ò¹Ô¤¤¡¢¹ÔÀ¯¶è²è¤Î±Æ¶Á¤ò¼õ¤±¤Ê¤¤ÌÌÀѽç°Ì¤ÎÍøÅÀ¤ò¼¨¤·¤¿¡£¤Þ¤¿¡¢ÆüËܤˤª¤¤¤Æ¥á¥Ã¥·¥å¿Í¸ýÅý·×¤òÍѤ¤¤Æ¡¢¥¯¥é¥¹¥¿²½¤µ¤ì¤¿ÅÔ»ÔÆâ¤Î¿Í¸ý¤òµá¤á¡¢¹ÔÀ¯¶è²èÆâ¿Í¸ý½ç°Ì¡¢ÅÔ»Ô°èÆâ¿Í¸ý½ç°Ì¡¢ÅÔ»Ô°èÌÌÀѽç°Ì¤ÎÈæ³Ó¤ò¹Ô¤¤¡¢ÅÔ»Ô°èÆâ¤Î¿Í¸ý¤ÈÌÌÀѤˤÏξÂпô¥°¥é¥Õ¤Ë¤ª¤¤¤ÆľÀþ´Ø·¸¤¬¤¢¤ë¤³¤È¤¬È½ÌÀ¤·¡¢ÅÔ»Ô°èÌÌÀѤˤâZipf¤Îˡ§¤¬À®Î©¤¹¤ë¤³¤È¤¬¼¨º¶¤µ¤ì¤¿¡£

!2007ǯ10·î16Æü
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* ¥¿¥¤¥È¥ë:SAR²èÁü¤Ë¤è¤ëÃÏ¿ÌÈï³²ÃÏ°è¤ÎÃê½Ð¼êË¡
* ³µÍס§1995ǯʼ¸Ë¸©ÆîÉôÃϿ̤ϥê¥â¡¼¥È¥»¥ó¥·¥ó¥°²èÁü¤È¾ÜºÙ¤ÊÈﳲĴºº¥Ç¡¼¥¿¤È¤ÎÄêÎÌÈæ³Ó¤¬½é¤á¤Æ¤Ç¤­¤¿Èï³²ÃϿ̤Ȥ¤¤Ã¤Æ¤â¤è¤¤¡£¤³¤ÎÃϿ̤κݤËÈïºÒÃϤò´Ñ¬¤·¤¿ERS±ÒÀ±¤ÎSAR²èÁü¤È·úʪÁ´²õΨ¤È¤Î´Ø·¸¤«¤é¡¤ÃÏ¿ÌÁ°¸å¤ÎSAR²èÁü¤Î¸åÊý»¶Í𷸿ô¤Îº¹Ê¬¤ÈÁê´Ø·¸¿ô¤òÀâÌÀÊÑÎ̤Ȥ·¤¿¹çÀ®ÊÑÎ̤«¤é·úʪ¤Î¿ÓÂçÈï³²°è¤òÃê½Ð¤¹¤ë¼êË¡¤ò¹½ÃÛ¤·¤¿¡£¤½¤·¤Æ¡¤¤½¤Î¼êË¡¤Ï³¤³°¤Ê¤É¾¤ÎÃÏ°è¤ÇȯÀ¸¤¹¤ëºÇ¶á¤ÎÈï³²ÃϿ̤ˤâŬÍѤǤ­¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤¿¡£

!2007ǯ10·î09Æü
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* ¥¿¥¤¥È¥ë:Spatial distribution of carbon balance in forest ecosystems across EastAsia
* ³µÍס§Å쥢¥¸¥¢¿¹ÎÓ13¥µ¥¤¥È¤ÇÆÀ¤é¤ì¤¿±²Áê´ØË¡¤Î¥Ç¡¼¥¿¤ò¸µ¤Ë¡¢NEP¡¢GPP¡¢RE¤Îǯ´ÖÃͤ¬¤É¤Î¤è¤¦¤Ê´Ä¶­Í×°ø¤Ë¤è¤Ã¤ÆÀ©¸æ¤µ¤ì¤Æ¤¤¤ë¤«Ä´¤Ù¤¿¡£¤½¤Î·ë²Ì¡¢°Ê²¼¤Î¤³¤È¤¬¤ï¤«¤Ã¤¿¡£
** ǯ´Ö¤ÎGPP¡¢RE¤Ïǯʿ¶Ñµ¤²¹¤Ë¤è¤Ã¤Æ¶¯¤¯À©¸æ¤µ¤ì¤Æ¤¤¤¿
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** RE¤ÏGPP¤è¤ê¥µ¥¤¥ÈÆȼ«¤Î±Æ¶Á¤¬¶¯¤¤¤«¤Ã¤¿¡£
** NEP¤ÏGPP¤è¤êRE¤Î±Æ¶Á¤ò¶¯¤¯¼õ¤±¤Æ¤¤¤¿¡£

!2007ǯ10·î02Æü
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* ¥¿¥¤¥È¥ë:MODIS²èÁü¤ò»È¤Ã¤¿À¸ÂַϽãÀ¸»ºÎ̤Υ¹¥±¡¼¥ê¥ó¥°¥¢¥Ã¥×¼êË¡¤Î¸¡Æ¤
* ³µÍס§¶áǯ¡¢¥Õ¥é¥Ã¥¯¥¹´Ñ¬¥Ç¡¼¥¿¤ÎÃßÀѤ¬¿Ê¤ß¡¢ÃºÁǼý»Ù¤Î»þ´ÖŪÊѲ½¡Êµ¨ÀáÊѲ½¡¢Ç¯¡¹ÊѲ½¡Ë¤¬ÌÀ¤é¤«¤Ë¤Ê¤ê¤Ä¤Ä¤¢¤ë¡£¤·¤«¤·¡¢¿¹ÎÓÀ¸ÂַϤÎúÁǼý»Ù¤Ï¡¢¤½¤ÎÊ£»¨¤Ê¹½Â¤¤Èµ¤¾Ý¾ò·ï¤Ë¤è¤Ã¤Æ¡¢¥µ¥¤¥È¤´¤È¤ËÂ礭¤¯ÊÑÆ°¤¹¤ë¡£¤½¤Î¤¿¤á¡¢ÄêÎÌŪ¤Êɾ²Á¤Ë¤Ï¹­°è´Ñ¬¤¬·ç¤«¤»¤Ê¤¤¡£¤³¤³¤Ç¤Ï¡¢¹­°è´Ñ¬±ÒÀ±¡ÊMODIS¡Ë¤«¤éÆÀ¤é¤ì¤ë¥Ñ¥é¥á¡¼¥¿¤ò»È¤Ã¤¿´ÊÊؤʥâ¥Ç¥ë¤òÍøÍѤ·¤Æ¡¢À¸ÂÖ·ÏÀ¸»ºÎÌ¡ÊNEP¡Ë¤Î¹­°è¥Þ¥Ã¥×¤òºîÀ®¤·¡¢Æ±°ìÀ¸ÂÖ·ÏÆâ¤Ë¤ª¤±¤ëúÁǼý»Ù¤Î¶õ´ÖŪÉԶѰìÀ­¤òɾ²Á¤·¤¿¡£

!2007ǯ09·î25Æü
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* ¥¿¥¤¥È¥ë:Ç®Âӹ߱«´Ñ¬±ÒÀ±¡ÊTRMM¡ËÅëºÜ¥»¥ó¥µ¤Ë¤è¤ë±À¡¦¹ß¿åÆÃÀ­¤Î´Ñ¬
* ³µÍס§Ç®Âӹ߱«´Ñ¬±ÒÀ±¡ÊTRMM¡Ë¤Ï¹ß±«¥ì¡¼¥À¡ÊPR¡Ë¡¤¥Þ¥¤¥¯¥íÇÈÊü¼Í·×¡ÊTMI¡Ë¡¤²Ä»ë¡¦ÀÖ³°Êü¼Í·×¡ÊVIRS¡Ë¤Ê¤É¤òÅëºÜ¤·¡¤¤Ò¤È¤Ä¤Î±À¡¦¹ß¿å¥·¥¹¥Æ¥à¤ò¤Û¤ÜƱ»þ¤Ë´Ñ¬¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤³¤ì¤é¤Î¥Ç¡¼¥¿¤òÁȤ߹ç¤ï¤»¤Æ³èÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤±À¡¦¹ß¿åÆÃÀ­¤ò¤è¤ê¿¼¤¯Íý²ò¤¹¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤Ã¤¿¡¥È¯É½¤Ç¤Ï¡¤TRMM¤ËÅëºÜ¤µ¤ì¤¿Ê£¿ô¤Î¥»¥ó¥µ¤Çª¤¨¤é¤ì¤¿±À¡¦¹ß¿åÆÃÀ­¤Ë¤Ä¤¤¤Æ¡¤Æü¼þÊѲ½¤ÈÃæ°ÞÅÙÅßµ¨¹ß¿å¥·¥¹¥Æ¥à¤Î±ôľ¹½Â¤¤Î²òÀϤ«¤éÆÀ¤é¤ì¤¿·ë²Ì¤ò½Ò¤Ù¤ë¡¥

!2007ǯ09·î18Æü
³÷À¸ Ì­(ÆÈΩ¹ÔÀ¯Ë¡¿Í¡¡»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê ´Ä¶­´ÉÍýµ»½Ñ¸¦µæÉôÌç¡¡Â絤´Ä¶­É¾²Á¸¦µæ¥°¥ë¡¼¥×)
* ¥¿¥¤¥È¥ë:Spatial and interanual validations in the timing of the leaf flushing of cool/temperature deciduous forests in the Northern Hemisphere

!2007ǯ09·î11Æü
T. Thuy VU (»ºÁí¸¦¥°¥ê¥Ã¥É¸¦µæ¥»¥ó¥¿¡¼Ãϵå´Ñ¬¥°¥ê¥Ã¥É¥Á¡¼¥à 9·îºÎÍÑ)
* ¥¿¥¤¥È¥ë:Multi-scale remote sensed image processing approach - application to damage mapping
* ³µÍס§ Remote sensing techniques have played an important role in quickly capturing the disaster-affected scenes. In spite of various demands from diverse stakeholders, the common requirement is more information in short time. To accommodate the critical time response, how to quickly retrieve the relevant information is a serious concern. This study is to develop such a suitable processing framework including two sub-systems. The first is to integrated use the data at two spatial resolutions, let say medium and fine resolutions. The key idea is that only necessary data is acquired, processed and the focused geographical extent is narrowed through a pyramidal researching.The second sub-system is to use when only one very high resolution images are available. A flexible processing mechanism is built to grasp globally the damage situation and/or classify the damage scales at several point of interest. While to former has been tested with a tsunami-affected area, the latter is demonstrated with an earthquake-affected scene. The proposed idea is therefore applicable for multi-type disasters and huge data processing.

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