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首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >COMMERCIALISATION OF OPERATIONAL MAPPING USING REMOTE SENSING - A COST EFFECTIVE REALITY FOR REAL-WORLD APPLICATIONS
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COMMERCIALISATION OF OPERATIONAL MAPPING USING REMOTE SENSING - A COST EFFECTIVE REALITY FOR REAL-WORLD APPLICATIONS

机译：使用遥感的操作贴图商业化-实际应用的成本有效现实

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摘要

It has been argued that although satellite remote sensing has provided very useful data, it was not always possible to convert this into commercially viable information, especially when compared to more traditional surveying and data gathering technologies. This was typically the result of a combination of relatively high data costs, data unsuitability and lack of (potential) end-user understanding. Recent experience within the CSIR has shown that this is no longer the case. With carefully developed, market-orientated, value-added products, and innovative value-based pricing, it is now possible to generate commercially viable, strategically important spatial data for both public and private sector use. This is primarily due to the ongoing development of both global remote sensing technologies, and the exponential development of the southern African GIS community (and the associated demand for spatial information). One of the cornerstones to the development of the remote sensing product market has been to ensure both the suitability and appropriateness (i.e.' fit for use' ), of satellite data to a clients specific information requirements. By careful understanding of a clients information needs, it is now possible to produce cost-effective spatial data from satellite imagery that addresses real-world problems.
机译：有人争辩说，尽管卫星遥感已经提供了非常有用的数据，但并非总是可能将其转换为商业上可行的信息，尤其是与更传统的测量和数据收集技术相比时。这通常是由于相对较高的数据成本，数据不适合性以及缺乏（潜在的）最终用户理解共同导致的。 CSIR的最新经验表明，情况已不再如此。通过精心开发，面向市场的增值产品和创新的基于价值的定价，现在可以生成具有商业可行性，具有战略意义的空间数据，以供公共部门和私营部门使用。这主要是由于全球遥感技术的不断发展以及南部非洲GIS社区的指数级发展（以及对空间信息的相关需求）。遥感产品市场发展的基石之一是确保卫星数据对客户特定信息要求的适用性和适用性（即“适合使用”）。通过仔细了解客户的信息需求，现在可以从卫星图像生成具有成本效益的空间数据，从而解决现实问题。

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