Improved remote heat sensing

Thomas G. Conway

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Improved remote heat sensing

机译：改进的远程热感应

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Remote sensing with infrared and other portions of the electromagnetic spectrum is a very useful and very powerful tool. Global climate monitoring, police surveillance, and even searches for land mines use infrared to gather vital information for solid planning and decisive action. Yet remote sensing of temperature remains difficult because of the inadequate methods currently available for determining surface emissivity. Surfaces can be characterized in a laboratory environment to provide more-accurate emissivity values in a library of materials for field use, and work is continuing to determine surface emissivity with remote sensing. Such efforts form the basis of a patented engineering solution to this measurement problem. (See "Using Thermal Images to Measure Temperature," June 1987.)

机译：用红外线和电磁频谱的其他部分进行遥感是非常有用且功能强大的工具。全球气候监测，警察监视甚至搜索地雷都使用红外线来收集重要信息，以进行可靠的计划和果断的行动。然而，由于目前尚不足以确定表面发射率的方法，温度的遥感仍然很困难。可以在实验室环境中对表面进行特征化处理，以在供现场使用的材料库中提供更准确的发射率值，并且正在继续通过遥感确定表面发射率的工作。这些工作构成了针对此测量问题的专利工程解决方案的基础。（请参阅“使用热图像来测量温度”，1987年6月。）

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《Mechanical Engineering》 |1997年第5期|p.88-89|共2页
作者
Thomas G. Conway;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类机械制造工艺;
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1. Assimilating Remotely Sensed Information with the WheatGrow Model Based on the Ensemble Square Root Filter for Improving Regional Wheat Yield Forecasts [J] . Yan Huang, Yan Zhu, Wenlong. Li, Plant Production Science . 2013,第4期

机译：基于集成平方根滤波器的WheatGrow模型将遥感信息同化，以改善区域小麦产量预报
2. Improving trapping success for rare species by targeting habitat types using remotely sensed data: a case study of the heath mouse (Pseudomys shortridgei) in Western Australia [J] . Kirsty Quinlan Dorian Moro and Mark Lund Wildlife Research . 2004,第2期

机译：通过使用遥感数据确定栖息地类型，提高捕获稀有物种的成功率：以西澳大利亚州的荒地小鼠（Pseudomys shortridgei）为例
3. Improving trapping success for rare species by targeting habitat types using remotely sensed data: a case study of the heath mouse (Pseudomys shortridgei) in Western Australia [J] . Quinlan K, Moro D, Lund M Wildlife Research . 2004,第2期

机译：通过使用遥感数据定位栖息地类型，提高捕获稀有物种的成功率：以西澳大利亚州的荒地小鼠（Pseudomys shortridgei）为例
4. Assimilating SAR and Optical Remote Sensing Data into WOFOST Model for Improving Winter Wheat Yield Estimation [C] . Wen Zhuo, Jianxi Huang, Li Li, International Conference on Agro-geoinformatics . 2018

机译：将SAR和光学遥感数据同化为WOFOST模型，以提高冬小麦产量估算
5. Remote sensing of wheat nitrogen status for improved protein management in dryland systems [D] . Eitel, Jan Ulrich Hermann 2008

机译：遥感小麦氮素状况以改善旱地系统中的蛋白质管理
6. Socioeconomic indicators of heat-related health risk supplemented with remotely sensed data [O] . Daniel P Johnson, Jeffrey S Wilson, George C Luber 2009

机译：与热有关的健康风险的社会经济指标辅以遥感数据
7. Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity [O] . DURGUN Yetkin Ozum, GOBIN A., GILLIAMS Sven, 2015

机译：测试压力因素对改善遥感和干物质生产力衍生的小麦和玉米单产的贡献

Improved remote heat sensing

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