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Remote Sensing, Geophysics and GIS

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: 1 December 2024 | Viewed by 1131

Special Issue Editors


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Guest Editor
Geospatial Information Sciences Program; School of Economic, Political and Policy Sciences; The University of Texas at Dallas, Richardson, TX 75080, USA
Interests: geospatial information sciences; environmental impacts of natural hazards; land use and land cover changes
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, Madison, WI 53726, USA
Interests: atmospheric remote sensing; air quality; aerosols; air quality and human health; aerosol classification; aerosol retrievals; remote sensing of land and atmospheric parameters; atmospheric correction of remote sensing data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The integration of remote sensing and Geographic Information Systems (GIS) has revolutionized geophysics, providing geophysicists with unprecedented insights into Earth's subsurface dynamics. Remote sensing captures detailed spatial data from a distance, while GIS enables its integration, analysis, and visualization, facilitating the investigation of geological phenomena, subsurface mapping, and resource management.

Remote sensing satellites equipped with sophisticated sensors, including multispectral, hyperspectral, and synthetic aperture radar (SAR), collect vast amounts of data with remarkable spatial and temporal resolution. These data offer valuable insights into surface features, terrain characteristics, and environmental changes, supporting comprehensive geological studies. GIS serves as the digital backbone for organizing, analyzing, and interpreting geospatial data collected through remote sensing. By integrating remote sensing imagery with other geophysical datasets, such as gravity and magnetic and seismic data, GIS facilitates the development of comprehensive geological models and the identification of subsurface structures. GIS-based spatial analysis tools enable the precise delineation of geological boundaries, the characterization of rock formations, the vulnerability and damage assessment of natural disasters, and the mapping of potential mineral deposits.

This Special Issue aims to explore the multifaceted applications and advancements at the intersection of remote sensing, GIS, and geophysics. Through original research articles, case studies, and reviews, we showcase innovative methodologies, tools, and approaches for leveraging remote sensing and GIS technology in geological exploration, subsurface mapping, and environmental monitoring.

Dr. Muhammad Tauhidur Rahman
Dr. Muhammad Bilal
Guest Editors

Manuscript Submission Information

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Keywords

  • remote sensing
  • GIS
  • geophysics

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Published Papers (1 paper)

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Research

17 pages, 13099 KiB  
Article
Lumped Parameter Thermal Network Modeling and Thermal Optimization Design of an Aerial Camera
by Yue Fan, Wei Feng, Zhenxing Ren, Bingqi Liu and Dazhi Wang
Sensors 2024, 24(12), 3982; https://doi.org/10.3390/s24123982 - 19 Jun 2024
Viewed by 449
Abstract
The quality of aerial remote sensing imaging is heavily impacted by the thermal distortions in optical cameras caused by temperature fluctuations. This paper introduces a lumped parameter thermal network (LPTN) model for the optical system of aerial cameras, aiming to serve as a [...] Read more.
The quality of aerial remote sensing imaging is heavily impacted by the thermal distortions in optical cameras caused by temperature fluctuations. This paper introduces a lumped parameter thermal network (LPTN) model for the optical system of aerial cameras, aiming to serve as a guideline for their thermal design. By optimizing the thermal resistances associated with convection and radiation while considering the camera’s unique internal architecture, this model endeavors to improve the accuracy of temperature predictions. Additionally, the proposed LPTN framework enables the establishment of a heat leakage network, which offers a detailed examination of heat leakage paths and rates. This analysis offers valuable insights into the thermal performance of the camera, thereby guiding the refinement of heating zones and the development of effective active control strategies. Operating at a total power consumption of 26 W, the thermal system adheres to the low-power limit. Experimental data from thermal tests indicate that the temperatures within the optical system are maintained consistently between 19 °C and 22 °C throughout the flight, with temperature gradients remaining below 3 °C, satisfying the temperature requirements. The proposed LPTN model exhibits swiftness and efficacy in determining thermal characteristics, significantly facilitating the thermal design process and ensuring optimal power allocation for aerial cameras. Full article
(This article belongs to the Special Issue Remote Sensing, Geophysics and GIS)
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