课题基金 / 基金详情

Remote Sensing for Geological/Geographical and Agricultural Characterization of Turkey

Remote Sensing for Geological/Geographical and Agricultural Characterization of Turkey
土耳其地质/地理和农业特征遥感
批准号:
8713423
负责人:
M. Nafi Toksoz
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-03-15 至 1990-02-28

项目摘要

项目成果

M. Nafi Toksoz的其他基金

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中文摘要
翻译
描述:该项目支持博士的合作。 马萨诸塞州理工学院的尼桑·托克索兹, 马萨诸塞州剑桥,Yarman博士-博斯普鲁斯的Vural 大学,伊斯坦布尔,土耳其。 他们的研究旨在 加强卫星遥感解译 数据,并应用于地质,环境, 农业问题。 科学目标是 图像分析算法的发展,特别适合 地质、环境和 资源评价问题。 图像中的科学家 费城德雷克塞尔大学处理中心, 来自土耳其安卡拉的中东技术大学, 他也将参加这项研究。 这个项目提供 两次访问的旅费和每日津贴 美国和土耳其机构之间的合作, (陆地MSS、专题制图仪、SPOT), 电脑时间 范围:该项目可能会使美国科学家受益 他们正在研究地质问题 在麻省理工学院地球资源实验室以及土耳其 从事农业和自然资源研究的科学家 这个国家的问题。 预计该 开发遥感数据分析算法 将大大加强对信息的获取, 地球环境,以及特定地区, 确定粮食产量,表面特征相关 矿藏、石油、地热资源以及 帮助土地利用规划和地质测绘 功能.
英文摘要
Description: This project supports the collaboration of Dr. Nafi Toksoz of Massachusetts Institute of Technology, Cambridge, MA, with Dr. Yarman- Vural of Bosphorous University, Istanbul, Turkey. Their study is aimed at enhancing the interpretation of satellite remote sensing data, with applications to geological, environmental, and agricultural problems. The scientific objective is the development of image analysis algorithms especially suitable to specific applications of geological, environmental and resource evaluation problems. Scientists from the Image Processing Center of Drexel University, Philadelphia, and from the Middle East Technical University in Ankara, Turkey, will also participate in the study. This project provides funding for the travel and per diem costs for two visits between the U.S. and Turkish institutions, and for the cost of LANDSAT data (Land MSS, Thematic Mapper, SPOT), and for computer time. Scope: The project is likely to benefit the U.S. scientists who are currently conducting research on geological problems at MIT Earth Resources Laboratory as well as the Turkish scientists working on agricultural and natural resources problems in that country. It is expected that the development of algorithms for analyzing remote sensing data will greatly enhance the aquisition of information on the earth environment, as well as to specific areas by determinig food production, surface features related to mineral deposits, petroleum, geothermal sources as well as helping in land use planning and mapping of geological features.
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会议论文
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Crustal Deformation in the Imperial Valley, California & theIntermountain Seismic Zone, Hebgen Lake, Montana: Implica- tions for Seismotectonics and Crustal/Upper Mantle Rheol
国内基金
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