Laboratory prototype double-etalon Fabry-Perot interferometer for remote sensing of atmospheric ozone: atmospheric measurements

1998 ◽  
Author(s):  
Allen M. Larar ◽  
William B. Cook ◽  
Redgie S. Lancaster
Keyword(s):  
Remote Sensing ◽  
Atmospheric Ozone ◽  
Atmospheric Measurements ◽  
Fabry Perot ◽  
Laboratory Prototype

Atmospheric measurements over oceans on German research vessels

2020 ◽  
Author(s):  
Stefan Kinne
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
System Modeling ◽  
Data Sets ◽  
Atmospheric Measurements ◽  
Earth System Modeling ◽  
Atmospheric Remote Sensing ◽  
German Research ◽  
Ground Monitoring ◽  
Global Data

<p>Ground-based remote sensing of atmospheric properties complements satellite remote sensing from space. Hereby the well-defined solar background of ground-based samples offers data of higher accuracy, which help to constrain (needed) assumptions in global data-sets of satellite remote sensing and earth system modeling. With ground monitoring largely limited to land or island surfaces, efforts have been made to add at least a few reference data over oceans with atmospheric remote sensing activities during ship cruises of opportunity. This presentation reports on recent voyages with German Research vessels (i.e. SONNE, MERIAN, METEOR and POLARSTERN) and how samples on these voyages have contributed to a better representation of marine properties for aerosol, trace-gases and clouds. Aside from establishing references for satellite remote sensing and modeling, relationships among different atmospheric properties also offer observational constrains for parametrizations of atmospheric processes in modeling.  </p>

Spectroradiometer for ground-based atmospheric measurements related to remote sensing in the visible from a satellite

1985 ◽  
Vol 24 (17) ◽  
pp. 2859 ◽  
Author(s):  
Rodolfo Guzzi ◽  
Gian Carlo Maracci ◽  
Rolando Rizzi ◽  
Antonio Siccardi
Keyword(s):  
Remote Sensing ◽  
Atmospheric Measurements

Ground-based remote sensing of the atmospheric ozone over Moscow at millimeter waves

2006 ◽  
Author(s):  
Sergey B. Rozanov ◽  
Sergey V. Solomonov ◽  
Elena P. Kropotkina ◽  
Alexandr N. Ignatyev ◽  
Alexandr N. Lukin
Keyword(s):  
Remote Sensing ◽  
Millimeter Waves ◽  
Atmospheric Ozone

scholarly journals UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES

2016 ◽  
Vol XLI-B1 ◽  
pp. 1143-1148 ◽  
Author(s):  
R. Näsi ◽  
E. Honkavaara ◽  
S. Tuominen ◽  
H. Saari ◽  
I. Pölönen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Identification ◽  
Tree Species ◽  
The Novel ◽  
Flexible Tool ◽  
Sensing Applications ◽  
Fabry Perot ◽  
First Results ◽  
Remote Sensing Applications ◽  
Spectral Ranges

Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used for identifying different species of trees in a forest area. To the best of the authors’ knowledge, this was the first research where stereoscopic, hyperspectral VIS, NIR, SWIR data is collected for tree species identification using UAS. The first results of the analysis based on fusion of two FPI-based hyperspectral imagers and RGB camera showed that the novel FPI hyperspectral technology provided accurate geometric, radiometric and spectral information in a forested scene and is operational for environmental remote sensing applications.

scholarly journals ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY

2016 ◽  
Vol XL-3/W4 ◽  
pp. 109-115
Author(s):  
A. M. G. Tommaselli ◽  
A. Berveglieri ◽  
R. A. Oliveira ◽  
L. Y. Nagai ◽  
E. Honkavaara
Keyword(s):  
Remote Sensing ◽  
Data Sets ◽  
Spectral Bands ◽  
Operational Problem ◽  
Fabry Perot ◽  
Agricultural Applications ◽  
Close Range ◽  
The Impact ◽  
Hyperspectral Camera

Flexible tools for photogrammetry and remote sensing using unmanned airborne vehicles (UAVs) have been attractive topics of research and development. The lightweight hyperspectral camera based on a Fabry-Pérot interferometer (FPI) is one of the highly interesting tools for UAV based remote sensing for environmental and agricultural applications. The camera used in this study acquires images from different wavelengths by changing the FPI gap and using two CMOS sensors. Due to the acquisition principle of this camera, the interior orientation parameters (IOP) of the spectral bands can vary for each band and sensor and changing the configuration also would change these sets of parameters posing an operational problem when several bands configurations are being used. The objective of this study is to assess the impact of use IOPs estimated for some bands in one configuration for other bands of different configuration the FPI camera, considering different IOP and EOP constraints. The experiments were performed with two FPI-hyperspectral camera data sets: the first were collected 3D terrestrial close-range calibration field and the second onboard of an UAV in a parking area in the interior of São Paulo State.

scholarly journals ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY

2016 ◽  
Vol XL-3/W4 ◽  
pp. 109-115 ◽  
Author(s):  
A. M. G. Tommaselli ◽  
A. Berveglieri ◽  
R. A. Oliveira ◽  
L. Y. Nagai ◽  
E. Honkavaara
Keyword(s):  
Remote Sensing ◽  
Data Sets ◽  
Spectral Bands ◽  
Operational Problem ◽  
Fabry Perot ◽  
Agricultural Applications ◽  
Close Range ◽  
The Impact ◽  
Hyperspectral Camera

Flexible tools for photogrammetry and remote sensing using unmanned airborne vehicles (UAVs) have been attractive topics of research and development. The lightweight hyperspectral camera based on a Fabry-Pérot interferometer (FPI) is one of the highly interesting tools for UAV based remote sensing for environmental and agricultural applications. The camera used in this study acquires images from different wavelengths by changing the FPI gap and using two CMOS sensors. Due to the acquisition principle of this camera, the interior orientation parameters (IOP) of the spectral bands can vary for each band and sensor and changing the configuration also would change these sets of parameters posing an operational problem when several bands configurations are being used. The objective of this study is to assess the impact of use IOPs estimated for some bands in one configuration for other bands of different configuration the FPI camera, considering different IOP and EOP constraints. The experiments were performed with two FPI-hyperspectral camera data sets: the first were collected 3D terrestrial close-range calibration field and the second onboard of an UAV in a parking area in the interior of São Paulo State.

scholarly journals RELIABILITY OF THE GEOMETRIC CALIBRATION OF AN HYPERSPECTRAL FRAME CAMERA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1701-1707
Author(s):  
M. A. Musci ◽  
I. Aicardi ◽  
P. Dabove ◽  
A. M. Lingua
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
High Resolution ◽  
Environmental Conditions ◽  
Precision Agriculture ◽  
Focal Length ◽  
Geometric Calibration ◽  
Fabry Perot ◽  
The Impact ◽  
Orientation Parameters

<p><strong>Abstract.</strong> One of the main tools for high resolution remote sensing and photogrammetry is the lightweight hyperspectral frame camera, that is used in several application areas such as precision agriculture, forestry, and environmental monitoring. Among these types of sensors, the Rikola (which is based on a Fabry–Perot interferometer (FPI) and produced by Senop) is one of the latest innovations. Due to its internal geometry, there are several issues to be addressed for the appropriate definition and estimation of the inner orientation parameters (IOPs). The main problems concern the possibility to change every time the sequence of the bands and to assess the reliability of the IOPs. This work focuses the attention on the assessment of the IOPs definition for each sensor, considering the impact of environmental conditions (e.g., different time, exposure, brightness) and different configurations of the FPI camera, in order to rebuild an undistorted hypercube for image processing and object estimation. The aim of this work is to understand if the IOPs are stable over the time and if and which bands can be used as reference for the calculation of the inner parameters for each sensor, considering different environmental configurations and surveys, from terrestrial to aerial applications. Preliminary performed tests showed that the focal length percentage variation among the bands of different experiments is around 1%.</p>

Laser Noise-Limited Ultra-High Performance Remote Sensing with a Fiber-Fabry-Perot

2006 ◽  
Author(s):  
Malcolm B. Gray ◽  
Jong H. Chow ◽  
Ian C. Littler ◽  
David E. McClelland
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
Laser Noise ◽  
Fabry Perot
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