scholarly journals Satellite Thermal Remote Sensing in the BITEX'93 Area

1996 ◽  
Vol 57 (4-2) ◽  
pp. 553-558
Author(s):  
Takeshi TODA
Keyword(s):  
Remote Sensing ◽  
Thermal Remote Sensing

scholarly journals A Satellite-Based Imaging Instrumentation Concept for Hyperspectral Thermal Remote Sensing

Sensors ◽  
2017 ◽  
Vol 17 (7) ◽  
pp. 1542 ◽  
Author(s):  
Thomas Udelhoven ◽  
Martin Schlerf ◽  
Karl Segl ◽  
Kaniska Mallick ◽  
Christian Bossung ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Thermal Remote Sensing

Thermal remote sensing of snow cover to identify the extent of hydrothermal areas in Yellowstone National Park

2012 ◽  
Author(s):  
Christopher M. U. Neale ◽  
S. Sivarajan ◽  
A. Masih ◽  
C. Jaworowski ◽  
H. Heasler
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
Yellowstone National Park ◽  
National Park ◽  
Thermal Remote Sensing

scholarly journals Utilization of Thermal Remote Sensing in Water Resource Management

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Morris Scherer Warren ◽  
Antônio Heriberto de Castro Teixeira ◽  
Lineu Neiva Rodrigues ◽  
Fernando Braz Tangerino Hernandez
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management ◽  
Thermal Remote Sensing

scholarly journals ANALYSIS OF COMBINED UAV-BASED RGB AND THERMAL REMOTE SENSING DATA: A NEW APPROACH TO CROWD MONITORING

2017 ◽  
Vol XLII-2/W6 ◽  
pp. 347-354
Author(s):  
S. Schulte ◽  
F. Hillen ◽  
T. Prinz
Keyword(s):  
Remote Sensing ◽  
Information Needs ◽  
Remote Sensing Data ◽  
Specific Information ◽  
Thermal Remote Sensing ◽  
Sensing Data ◽  
Detection Approach ◽  
Remotely Piloted Aircraft ◽  
Crowd Monitoring ◽  
Single Data

Collecting vast amount of data does not solely help to fulfil information needs related to crowd monitoring, it is rather important to collect data that is suitable to meet specific information requirements. In order to address this issue, a prototype is developed to facilitate the combination of UAV-based RGB and thermal remote sensing datasets. In an experimental approach, image sensors were mounted on a remotely piloted aircraft and captured two video datasets over a crowd. A group of volunteers performed diverse movements that depict real world scenarios. The prototype is deriving the movement on the ground and is programmed in MATLAB. This novel detection approach using combined data is afterwards evaluated against detection algorithms that only use a single data source. Our tests show that the combination of RGB and thermal remote sensing data is beneficial for the field of crowd monitoring regarding the detection of crowd movement.

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