Calibration of EOS multispectral imaging sensors and solar irradiance variability

机译：EOS多光谱成像传感器的校准和太阳辐照度变化

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Abstract: Earth observation system (Eos) optical multispectral imaging sensors provide images of the earth at various spectral and spatial resolutions, in the visible (VIS) and infrared (IR) regions of the solar spectrum. Accurate knowledge of extraterrestrial solar spectral irradiance and its variations with time are needed to trace sensor calibration in space, and for the development of terrestrial atmospheric models needed in data validation. A brief review of the extraterrestrial solar VIS/IR spectral irradiance available in the literature is included, and the need to develop an extraterrestrial solar spectral irradiance for the Eos studies is pointed out. The solar calibration of the Earth Radiation Budget Experiment (ERBE) earth-viewing sensors is discussed. Observed variations in the solar constant (solar irradiance, at the mean sun-earth distance of one astronomical unit, integrated over all wavelengths), and solar spectral irradiance with solar activity and its implications for Eos studies are also discussed.!

机译：摘要：地球观测系统（Eos）光学多光谱成像传感器可在太阳光谱的可见（VIS）和红外（IR）区域提供各种光谱和空间分辨率的地球图像。需要精确了解地外太阳光谱辐照度及其随时间的变化，以跟踪空间中的传感器校准，以及开发数据验证所需的地面大气模型。包括对文献中可获得的地外太阳VIS / IR光谱辐照度的简要回顾，并指出有必要为Eos研究开发地外太阳光谱辐照度。讨论了地球辐射预算实验（ERBE）地球观测传感器的太阳标定。还讨论了太阳常数的观测变化（太阳辐照度，在一个天文单位的平均日地距离上，在所有波长上积分），以及太阳光谱辐照度与太阳活动及其对Eos研究的意义！

著录项

来源
《Calibration of Passive Remote Observing Optical and Microwave Instrumentation》|1991年|p.292-302|共11页
会议地点 Orlando FL(US);Orlando FL(US)
作者
Ann Mecherikunnel; NASA/Goddard Space Flight Ctr.; Greenbelt; MD; USA.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类机械、仪表工业;
关键词

相似文献

外文文献
中文文献
专利

1. Prediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learning [J] . T. Colak, R. Qahwaji Solar Physics . 2013,第1期

机译：利用模糊图像处理和机器学习预测太阳动力学天文台（SDO）/大气成像组件（AIA）图像中的极端紫外变异性实验（EVE）/极端紫外分光光度计（ESP）辐照度
2. Prediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learning [J] . Colak T., Qahwaji R. Solar physics . 2013,第1期

机译：使用模糊图像处理和机器学习方法从太阳动力学天文台（SDO）/大气成像组件（AIA）图像预测极端紫外变异性实验（EVE）/极端紫外分光光度计（ESP）的辐照度
3. DYNAMIC CALIBRATION AND IMAGE SEGMENTATION METHODS FOR MULTISPECTRAL IMAGING CROP NITROGEN DEFICIENCY SENSORS [J] . Transactions of the ASABE . 2005,第1期

机译：多光谱成像作物氮缺陷传感器的动态标定和图像分割方法
4. Calibration of EOS multispectral imaging sensors and solar irradiance variability [C] . Ann Mecherikunnel Conference on calibration of passive remote observing optical and microwave instrumentation . 1991

机译：EOS多光谱成像传感器的校准和太阳辐照度变异性
5. Studying Solar Irradiance Variability and Solar Energy Using Geostationary Satellite Products and Ground Measurements [D] . Xia, Shuang. 2018

机译：利用对地静止卫星产品和地面测量研究太阳辐照度变异性和太阳能
6. Decoupling Solar Variability and Instrument Trends Using the Multiple Same-Irradiance-Level (MuSIL) Analysis Technique [O] . Thomas N. Woods, Francis G. Eparvier, Jerald Harder, -1

机译：使用多重等辐照度水平（MuSIL）分析技术将太阳变异性与仪器趋势分离
7. Prediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learning [O] . Colak Tufan, Qahwaji Rami S.R. 2013

机译：利用模糊图像处理和机器学习预测太阳动力学天文台（SDO）/大气成像组件（AIA）图像中的极端紫外变异性实验（EVE）/极端紫外分光光度计（ESP）辐照度
8. Application of Solar Max ACRIM (Active Cavity Radiometer Irradiance Monitor) Data to Analyze Solar-Driven Climatic Variability on Earth [R] . Hoffert, M. I. 1986

机译：solar max aCRIm（有源腔辐射计辐照度监测）数据在地球上驱动太阳驱气候变化的应用

Calibration of EOS multispectral imaging sensors and solar irradiance variability

摘要

著录项

相似文献

相关主题

期刊订阅