From Noon to Sunset: Interactive Rendering, Relighting, and Recolouring of Landscape Photographs by Modifying Solar Position

Solar Tracking Device Based on Electronic Compass and Accelerometer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.981.522 ◽

2014 ◽

Vol 981 ◽

pp. 522-525 ◽

Cited By ~ 1

Author(s):

Zhong Ran Zhang ◽

Yuan Ma ◽

Bo Jiao ◽

Tong Liang Liu

Keyword(s):

Elevation Angle ◽

Least Square Method ◽

Least Square ◽

Stable Operation ◽

Solar Tracking ◽

High Flexibility ◽

Tracking Device ◽

Solar Position ◽

Electronic Compass ◽

The Magnetic Field

A solar tracking device was designed in this paper. First, In order to determine the initial direction of the mechanism and the east, HMC5883L was used for measuring the magnetic field of earth. Then, the mechanism began to operate according to the solar position which was confirmed though the astronomical calculation. Finally, the azimuth and the elevation angle of solar were measured and corrected by HMC5883L and MPU6050 respectively. HMC5883L was calibrated by the ellipse fitting, which was obtained though the least square method. The horizontal error of HMC5883L was compensated. The experimental study was performed. And the results show that the solar tracking device has the characteristics of stable operation, high flexibility and low requirement of installation precision.

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An algorithm for the computation of the solar position

Solar Energy ◽

10.1016/j.solener.2007.10.001 ◽

2008 ◽

Vol 82 (5) ◽

pp. 462-470 ◽

Cited By ~ 101

Author(s):

Roberto Grena

Keyword(s):

Solar Position

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The Piranesi system for interactive rendering

Computers in Building ◽

10.1007/978-1-4615-5047-1_25 ◽

1999 ◽

pp. 381-398 ◽

Cited By ~ 4

Author(s):

Paul Richens

Keyword(s):

Interactive Rendering

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VISIBILITY MONITORING USING MOBILE APPLICATION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-5-883-2018 ◽

2018 ◽

Vol XLII-5 ◽

pp. 883-891

Author(s):

S. Purohit ◽

P. Chauhan

Keyword(s):

Mobile Application ◽

Smart Phone ◽

Quantitative Measure ◽

Weather Conditions ◽

Optical Instruments ◽

Important Concern ◽

Transport Safety ◽

Continuous Power ◽

Variable Weather ◽

Solar Position

<p><strong>Abstract.</strong> Visibility is clarity with which the distant objects are perceived in the atmosphere with the naked eye. Visibility monitoring is an important concern in health, environment and transport safety context. Quantitative measures of visibility are increasingly becoming important in various areas as they are representative of the particles present in the environment that causes degradation of the visibility. Existing techniques of visibility estimation employ human observers, optical instruments, chemical sensors or combination of some of them. These techniques suffer from poor spatial and temporal resolution, high cost of installation and maintenance, need of specialized personnel, continuous power supply requirement and difficulty in portability. We propose a smart phone-based visibility monitoring system which estimates air visibility/quality in terms of a quantitative measure: Turbidity. In principle, the application calculates turbidity as difference of intensity of captured sky image and analytical value of sky luminance obtained by implementing Perez model. The estimated turbidity tagged with date, time, location, solar position and luminance is sent to the backend server generating consolidated database for mapping of turbidity and generating various analytical reports. The application can easily be deployed to be used by large number of people facilitating citizen science. The results from application were validated against the observations from SAFAR INDIA application at different stations in Ahmedabad, dates and under variable weather conditions.</p>

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ASDToolkit: A Novel MATLAB Processing Toolbox for ASD Field Spectroscopy Data

10.20944/preprints202008.0535.v1 ◽

2020 ◽

Author(s):

Kathryn Elmer ◽

Raymond Soffer ◽

J. Pablo Arroyo-Mora ◽

Margaret Kalacska

Keyword(s):

Individual Characteristics ◽

Atmospheric Conditions ◽

Current Effort ◽

Data Product ◽

Field Spectroscopy ◽

The Individual ◽

Solar Position ◽

Derived Data

Over the past 30 years, the use of field spectroscopy has risen in importance in remote sensing studies for the characterization of the surface reflectance of materials in situ within a broad range of applications. Potential uses range from measurements of individual targets of interest (e.g. vegetation, soils, validation targets etc.), to characterizing the contributions of different materials within larger spatially-mixed areas as would be representative of the spatial resolution captured by a sensor pixel (UAV to satellite scale). As such, it is essential that a complete and rigorous assessment of both the data-acquisition procedures, and the suitability of the derived data product be carried out. The measured energy from solar-reflected range spectroradiometers is influenced by the viewing and illumination geometries and the illumination conditions which vary due to changes in solar position and atmospheric conditions. By applying corrections, the estimated absolute reflectance (Rabs) of targets can be calculated. This property is independent of illumination intensity or conditions and is the metric commonly suggested to be used to compare spectra even when data are collected by different sensors or acquired under different conditions. By standardizing the process of estimated Rabs, as is provided in the described toolkit, consistency and repeatability in processing are ensured and the otherwise labor intensive and error-prone processing steps are streamlined. The resultant end data product (Rabs) represents our best current effort to generate consistent and comparable ground spectra which have been corrected for viewing and illumination geometries as well as other factors such as the individual characteristics of the reference panel used during acquisition.

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