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:该项目支持麻省理工学院剑桥分校的Nafi Toksoz博士与土耳其伊斯坦布尔博斯普利大学的Yarman-Vtal博士的合作。他们的研究旨在加强卫星遥感数据的解释,并将其应用于地质、环境和农业问题。科学的目标是开发特别适用于地质、环境和资源评价问题的具体应用的图像分析算法。来自费城德雷塞尔大学图像处理中心和土耳其安卡拉中东技术大学的科学家也将参与这项研究。该项目提供资金用于美国和土耳其机构之间两次访问的旅费和每日津贴费用,以及陆地卫星数据(陆地MSS、专题测绘器、SPOT)的费用和计算机时间。范围:该项目可能使目前在麻省理工学院地球资源实验室进行地质问题研究的美国科学家以及在该国从事农业和自然资源问题研究的土耳其科学家受益。预计分析遥感数据的算法的发展将极大地加强对地球环境信息的获取,以及通过确定粮食生产、与矿藏有关的地表特征、石油、地热资源以及帮助进行土地利用规划和地质特征测绘。
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.
期刊论文(0)
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会议论文
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国内基金
海外基金
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