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Advanced in Space-Air-Ground-Sea Integrated Remote Sensing: Intelligent Processing and Applications

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 1026

Special Issue Editors


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Guest Editor
College of Information Technology, Shanghai Ocean University, Shanghai 201308, China
Interests: satellite/aerial photogrammetry; high-speed videogrammetric; planetary mapping; 3D emergency mapping; GNSS-R; deep learning and processing of geospatial big data
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Information Technology, Shanghai Ocean University, Shanghai 201308, China
Interests: multi-modal remote sensing; ocean monitoring; embodied AI

E-Mail Website
Guest Editor
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
Interests: land/lunar surface temperature inversion; emissivity estimation from thermal infrared remote sensing data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The space–air–ground–sea integrated remote sensing has significant strengths in terms of acquiring spatiotemporal–spectral big data at a wide range of observation views. It involves the utilization of multi-modal sensors to capture data remotely from diverse platforms, such as satellites, airborne systems, drones, and ground-based or sea-based devices.

In particular, many intelligent processing technologies are now derived from crossovers between space–air–ground–sea integrated remote sensing and artificial intelligence, which hold enough potential for various fine-grained remote sensing applications. However, challenges remain for photogrammetric processing, 3D modeling, multi-modal information fusion, thematic mapping, and their respective applications in space–air–ground–sea integrated remote sensing.

This Special Issue focuses on recent advanced research in space–air–ground–sea integrated remote sensing and its applications. Topics may include, but are not limited to, the following:

  • Two- or three-dimensional object detection/tracking/re-identification;
  • Three-dimensional reconstruction;
  • Image segmentation/classification/fusion;
  • Photogrammetric processing;
  • Change detection;
  • Applications of space–air–ground–sea integrated remote sensing.

Prof. Dr. Zhonghua Hong
Dr. Chenchen Jiang
Dr. Huazhong Ren
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

  • remote sensing
  • space–air–ground–sea integration
  • artificial intelligence
  • data processing
  • modeling
  • mapping

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Published Papers (1 paper)

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Research

25 pages, 11570 KB  
Article
Spatial–Temporal Characteristics and Drivers of Summer Extreme Precipitation in the Poyang Lake City Group (PLCG) from 1971 to 2022
by Hua Liu, Ziqing Zhang and Bo Liu
Remote Sens. 2025, 17(16), 2915; https://doi.org/10.3390/rs17162915 - 21 Aug 2025
Viewed by 567
Abstract
Global warming has intensified the hydrological cycle, resulting in more frequent extreme precipitation events and altered spatiotemporal precipitation patterns in urban areas, thereby increasing the risk of urban flooding and threatening socio-economic and ecological security. This study investigates the characteristics of summer extreme [...] Read more.
Global warming has intensified the hydrological cycle, resulting in more frequent extreme precipitation events and altered spatiotemporal precipitation patterns in urban areas, thereby increasing the risk of urban flooding and threatening socio-economic and ecological security. This study investigates the characteristics of summer extreme precipitation in the Poyang Lake City Group (PLCG) from 1971 to 2022, utilizing the China Daily Precipitation Dataset and NCEP/NCAR reanalysis data. Nine extreme precipitation indices were examined through linear trend analysis, Mann–Kendall tests, wavelet transforms, and correlation methods to quantify trends, periodicity, and atmospheric drivers. The key findings include: (1) All indices exhibited increasing trends, with RX1Day and R95p exhibiting significant rises (p < 0.05). PRCPTOT, R20, and SDII also increased, indicating heightened precipitation intensity and frequency. (2) R50, RX1Day, and SDII demonstrated east-high-to-west-low spatial gradients, whereas PRCPTOT and R20 peaked in the eastern and western PLCG. More than over 88% of stations recorded rising trends in PRCPTOT and R95p. (3) Abrupt changes occurred during 1993–2009 for PRCPTOT, R50, and SDII. Wavelet analysis revealed dominant periodicities of 26–39 years, linked to atmospheric oscillations. (4) Strong subtropical highs, moisture convergence, and negative OLR anomalies were closely associated with extreme precipitation. Warmer SSTs in the eastern equatorial Pacific amplified precipitation in preceding seasons. This study provides a scientific basis for flood prevention and climate adaptation in the PLCG and highlighting the region’s vulnerability to monsoonal shifts under global warming. Full article
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