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Problem-Driven Geospatial Data Acquisition, Tools and Applications in Earth Observation

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 557

Special Issue Editors

TUM School of Life Sciences, Technische Universität München, Munich, Germany
Interests: geographic information system; spatial analysis; data mining; geoinformation; landscape analysis; urban planning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil Engineering, National Taiwan University, Taipei, Taiwan
Interests: image processing; geomatics;machine learning; geographic information systems; spatial analysis; data mining; geoinformation; geospatial science; earth observation; surveying

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Guest Editor
School of Design and the Built Environment, Curtin University, Kent Street, Bentley, WA 6102, Australia
Interests: sustainable development; spatial statistics; geospatial methods; urban remote sensing; sustainable infrastructure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

“Problem-Driven Geospatial Data Acquisition, Tools and Applications in Earth Observation” presents an extensive and comprehensive compilation of recent advancements in Earth observation. Earth observation, which interfaces with space, remote sensing, communication, and information technologies, assumes an increasingly crucial role in scientific studies related to Earth, resource management, topographic mapping, and the promotion of a sustainable environment and community. This special edition explores the progress in geospatial data acquisition, tools, and applications within Earth observation, aiming to highlight the transformative influence of contemporary technologies on our comprehension and stewardship of Earth's resources and environment. Geospatial techniques serve as effective tools for mapping, monitoring, and assessing spatial information pertinent to Earth observation. This aids scientists, policymakers, and stakeholders in enhancing decision-making processes concerning better management, planning, and design initiatives to effectively combat against pressing global environmental problems. Consequently, the adoption of novel techniques and optimal practices in data acquisition, processing, and modeling enables the identification of the most effective solutions for applications in Earth observation. Through a diverse array of contributions from prominent experts and researchers, this Special Issue provides insights into the most recent methodologies, innovations, and practical implementations that are shaping the trajectory of Earth observation and geospatial science.

This Special Issue invites submissions focusing on inventive methodologies and novel scientific contributions concerning concepts, technologies, methodologies, and tools utilized in acquiring and processing geospatial data for diverse Earth observation applications. Topics of interest may include but not limited to the following:

  • Remote sensing platforms and various sensors such as unmanned aerial vehicles (UAVs), LiDAR, hyperspectral and multispectral imaging alongside traditional surveying methods.
  • New geospatial software and tools emerging for data processing and analysis.
  • Contributions of artificial intelligence and machine learning in geospatial analysis as well as cloud computing and big data analytics for Earth observation.
  • Integration of multisource data for environmental monitoring and assessment efforts.
  • Innovative applications in fields such as agriculture, forestry, urban planning, disaster management, climate change, and environmental monitoring.

Dr. Artan Hysa
Dr. Pai-Hui Hsu
Dr. Yongze Song
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geospatial technology
  • geospatial data acquisition
  • geographic information system (GIS)
  • spatial analysis
  • earth observation
  • geospatial AI
  • big data analysis

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Published Papers

This special issue is now open for submission.
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