Low-cost remote sensing instruments for atmospheric trace species and improvements in radiometric calibration

1999 ◽  
Author(s):  
Donald F. Heath
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Radiometric Calibration ◽  
Trace Species

Low-cost system for radiometric calibration of UAV-based multispectral imagery

2020 ◽  
pp. 1-15
Author(s):  
Jorge Tadeu Fim Rosas ◽  
Francisco de Assis de Carvalho Pinto ◽  
Daniel Marçal de Queiroz ◽  
Flora Maria de Melo Villar ◽  
Rodrigo Nogueira Martins ◽  
...  
Keyword(s):  
Low Cost ◽  
Multispectral Imagery ◽  
Radiometric Calibration ◽  
Cost System

scholarly journals A low cost remote sensing system using PC and stereo equipment

2011 ◽  
Vol 79 (12) ◽  
pp. 1240-1245 ◽  
Author(s):  
Joel F. Campbell ◽  
Michael A. Flood ◽  
Narasimha S. Prasad ◽  
Wade D. Hodson
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Sensing System

scholarly journals Low-cost multispectral imaging for remote sensing of lettuce health

2017 ◽  
Vol 11 (1) ◽  
pp. 016006 ◽  
Author(s):  
David D. W. Ren ◽  
Siddhant Tripathi ◽  
Larry K. B. Li
Keyword(s):  
Remote Sensing ◽  
Multispectral Imaging ◽  
Low Cost

scholarly journals A Low-Cost Optical Remote Sensing Application for Glacier Deformation Monitoring in an Alpine Environment

Sensors ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1750 ◽  
Author(s):  
Daniele Giordan ◽  
Paolo Allasia ◽  
Niccolò Dematteis ◽  
Federico Dell’Anese ◽  
Marco Vagliasindi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Deformation Monitoring ◽  
Optical Remote Sensing ◽  
Alpine Environment ◽  
Remote Sensing Application ◽  
Sensing Application

scholarly journals Remote Sensing of Aerosols at Night with the CoSQM Sky Brightness Data

2021 ◽  
Author(s):  
Charles Marseille ◽  
Martin Aubé ◽  
Africa Barreto Velasco ◽  
Alexandre Simoneau
Keyword(s):  
Remote Sensing ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Low Cost ◽  
Empirical Relationship ◽  
Important Indicator ◽  
Sky Brightness ◽  
Night Sky ◽  
Remote Sensing Techniques ◽  
Night Sky Brightness

The aerosol optical depth is an important indicator of aerosol particle properties and associated radiative impacts. AOD determination is therefore very important to achieve relevant climate modeling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high level of light available. The night represents half of the time but in such conditions only a few remote sensing techniques are available. Among these techniques, the most reliable are moon photometers and star photometers. In this paper, we attempt to fill gaps in the aerosol detection performed with the aforementioned techniques using night sky brightness measurements during moonless nights with the novel CoSQM: a portable, low cost and open-source multispectral photometer. In this paper, we present an innovative method for estimating the aerosol optical depth by using an empirical relationship between the zenith night sky brightness measured at night with the CoSQM and the aerosol optical depth retrieved at daytime from the AErosol Robotic NETwork. Such a method is especially suited to light-polluted regions with light pollution sources located within a few kilometers of the observation site. A coherent day-to-night aerosol optical depth and Ångström Exponent evolution in a set of 354 days and nights from August 2019 to February 2021 was verified at the location of Santa Cruz de Tenerife on the island of Tenerife, Spain. The preliminary uncertainty of this technique was evaluated using the variance under stable day-to-night conditions, set at 0.02 for aerosol optical depth and 0.75 for Ångström Exponent. These results indicate the set of CoSQM and the proposed methodology appear to be a promising tool to add new information on the aerosol optical properties at night, which could be of key importance to improve climate predictions.

scholarly journals Development of a low-cost quadrotor UAV based on ADRC for agricultural remote sensing

2019 ◽  
Vol 12 (4) ◽  
pp. 82-87
Author(s):  
Songchao Zhang ◽  
◽  
Xinyu Xue ◽  
Chen Chen ◽  
Zhu Sun ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Quadrotor Uav
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