Next Article in Journal
Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data
Previous Article in Journal
A Photogrammetric and Computer Vision-Based Approach for Automated 3D Architectural Modeling and Its Typological Analysis
Previous Article in Special Issue
The Improved NRL Tropical Cyclone Monitoring System with a Unified Microwave Brightness Temperature Calibration Scheme
Article Menu

Export Article

Open AccessEditorial

Calibration and Verification of Remote Sensing Instruments and Observations

German Meteorological Service, Frankfurter Str. 135, D-63067 Offennach, Germany
Remote Sens. 2014, 6(6), 5692-5695;
Received: 10 June 2014 / Accepted: 11 June 2014 / Published: 17 June 2014
PDF [88 KB, uploaded 19 June 2014]
Note: In lieu of an abstract, this is an excerpt from the first page.


Satellite instruments are nowadays a very important source of information. The physical quantities (essential variables) derived from satellites are utilized in a wide field of applications, in particular in atmospheric physics and geoscience. In contrast to ground measurements the physical quantities are not directly measured, but have to be retrieved from satellite observations. Satellites observe hereby the reflection or emission of radiation by the Earth's surface or atmosphere, which enables the retrieval of respective physical quantities (essential variables). The physical basis for the retrieval is the interaction of the radiation with the Earth’s atmosphere and surface. This interaction is defined by radiative transfer, which favors the use of radiances and their respective units within retrieval methods. [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Müller, R. Calibration and Verification of Remote Sensing Instruments and Observations. Remote Sens. 2014, 6, 5692-5695.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top