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Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems—2nd Edition

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

Deadline for manuscript submissions: closed (10 November 2023) | Viewed by 8554

Special Issue Editor


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Guest Editor
Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland
Interests: geoinformatics; spatial analysis; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Satellite and UAV (Unmanned Aerial Vehicle) imagery has become an important source of data for Geographic Information Systems (GISs). Remote Sensing and GISs are part of the broader concept of Geoinformatics. Satellite imagery in a wide range of spatial, spectral, and temporal resolutions provides the scientific community with rapidly available global data to be used as an integral part of spatial data structures and analyses. Remote sensing platforms, such as Modis and Landsat, have a unique historical record of providing tens of years of uninterrupted global data.

For local applications, the rapid evolution of unmanned aerial vehicles and lightweight sensors has provided the scientific community with a tool for acquiring extremely high-resolution data covering areas that vary from several hectares to hundreds of square kilometres in size.

The Special Issue intends to highlight advances in satellite and UAV data applications and the use of these to expand and improve data integration in Geoinformatics. UAVs and drones are often cost-effective when compared to the use of manned helicopters or fixed-wing aircraft.

Possible topics include, but are not limited to:

  • ecosystem monitoring;
  • vegetation monitoring;
  • forest inventory;
  • animal habitat analysis;
  • land use/land cover analysis and monitoring;
  • hyperspectral and three-dimensional (3D) mapping;
  • urban mapping and planning;
  • mapping;
  • open source software for unmanned aerial vehicle (UAV) mosaicking and 3D solutions.

Prof. Dr. Alfred Colpaert
Guest Editor

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Keywords

  • hyperspectral data
  • multispectral data
  • monochromatic data
  • radar data applications
  • data integration and fusion
  • new UAV platforms and instruments
  • automated mapping and updating
  • real-time applications

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Published Papers (2 papers)

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Research

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17 pages, 3904 KiB  
Article
Analysis of the Impact of Atmospheric Models on the Orbit Prediction of Space Debris
by Yigao Ding, Zhenwei Li, Chengzhi Liu, Zhe Kang, Mingguo Sun, Jiannan Sun and Long Chen
Sensors 2023, 23(21), 8993; https://doi.org/10.3390/s23218993 - 6 Nov 2023
Cited by 2 | Viewed by 2655
Abstract
Atmospheric drag is an important influencing factor in precise orbit determination and the prediction of low-orbit space debris. It has received widespread attention. Currently, calculating atmospheric drag mainly relies on different atmospheric density models. This experiment was designed to explore the impact of [...] Read more.
Atmospheric drag is an important influencing factor in precise orbit determination and the prediction of low-orbit space debris. It has received widespread attention. Currently, calculating atmospheric drag mainly relies on different atmospheric density models. This experiment was designed to explore the impact of different atmospheric density models on the orbit prediction of space debris. In the experiment, satellite laser ranging data published by the ILRS (International Laser Ranging Service) were used as the basis for the precise orbit determination for space debris. The prediction error of space debris orbits at different orbital heights using different atmospheric density models was used as a criterion to evaluate the impact of atmospheric density models on the determination of space-target orbits. Eight atmospheric density models, DTM78, DTM94, DTM2000, J71, RJ71, JB2006, MSIS86, and NRLMSISE00, were compared in the experiment. The experimental results indicated that the DTM2000 atmospheric density model is best for determining and predicting the orbits of LEO (low-Earth-orbit) targets. Full article
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Review

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130 pages, 26713 KiB  
Review
Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
by Susan L. Ustin and Elizabeth McPhee Middleton
Sensors 2024, 24(11), 3488; https://doi.org/10.3390/s24113488 - 28 May 2024
Cited by 5 | Viewed by 5607
Abstract
Among the essential tools to address global environmental information requirements are the Earth-Observing (EO) satellites with free and open data access. This paper reviews those EO satellites from international space programs that already, or will in the next decade or so, provide essential [...] Read more.
Among the essential tools to address global environmental information requirements are the Earth-Observing (EO) satellites with free and open data access. This paper reviews those EO satellites from international space programs that already, or will in the next decade or so, provide essential data of importance to the environmental sciences that describe Earth’s status. We summarize factors distinguishing those pioneering satellites placed in space over the past half century, and their links to modern ones, and the changing priorities for spaceborne instruments and platforms. We illustrate the broad sweep of instrument technologies useful for observing different aspects of the physio-biological aspects of the Earth’s surface, spanning wavelengths from the UV-A at 380 nanometers to microwave and radar out to 1 m. We provide a background on the technical specifications of each mission and its primary instrument(s), the types of data collected, and examples of applications that illustrate these observations. We provide websites for additional mission details of each instrument, the history or context behind their measurements, and additional details about their instrument design, specifications, and measurements. Full article
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