You are currently viewing a new version of our website. To view the old version click .

Remote Sensing, Volume 17, Issue 11

June-1 2025 - 157 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story: In recent years, German forests have been severely affected by a series of droughts, heatwaves and large storm events and windthrow, often followed by insect infestations, primarily bark beetle, in monoculture Norway spruce stands. As bark beetle infestations are typically fatal, decision makers often need an educated estimation of potential future loss. This study adapts the spatio-temporal matrix (STM) method to work with a canopy cover loss product based on EO data. Since past canopy cover loss has neighborhood effects, a model was developed using STM data, its percentiles and environmental data to predict the probability of future canopy cover loss in German spruce forests. The modelled results for loss were compared with real loss for different locations, time periods and predictors where good capacity of prediction was achieved. View this paper

Articles (157)

  • Article
  • Open Access
666 Views
25 Pages

4 June 2025

Synthetic aperture radar (SAR) is an all-weather and all-day imaging technique for Earth observation. Achieving efficient observation, high resolution, and wide swath coverage have remained critical development goals in SAR technology, which inherent...

  • Article
  • Open Access
2 Citations
1,561 Views
28 Pages

4 June 2025

Enhancing the detection capabilities of marine vessels is crucial for maritime security and intelligence acquisition. However, accurately identifying small ships in complex oceanic environments remains a significant challenge, as these targets are fr...

  • Article
  • Open Access
1 Citations
856 Views
27 Pages

4 June 2025

The China–Mongolia arid region adjacent to the Altai Mountain (CMA) has a sensitive ecosystem that relies heavily on both terrestrial water (TWS) and groundwater storage (GWS). However, during the 2003–2016 period, the CMA experienced sig...

  • Article
  • Open Access
940 Views
20 Pages

Ionospheric TEC and ROT Analysis with Signal Combinations of QZSS Satellites in the Korean Peninsula

  • Byung-Kyu Choi,
  • Dong-Hyo Sohn,
  • Junseok Hong,
  • Jong-Kyun Chung,
  • Kwan-Dong Park,
  • Hyung Keun Lee,
  • Jeongrae Kim and
  • Heon Ho Choi

4 June 2025

This study investigates the performance of three different signal combinations (L1-L2, L1-L5, and L2-L5) for estimating ionospheric total electron content (TEC) and the rate of TEC (ROT) using Quasi-Zenith Satellite System (QZSS) observations over th...

  • Article
  • Open Access
2 Citations
926 Views
23 Pages

Multi-Attitude Hybrid Network for Remote Sensing Hyperspectral Images Super-Resolution

  • Chi Chen,
  • Yunhan Sun,
  • Xueyan Hu,
  • Ning Zhang,
  • Hao Feng,
  • Zheng Li and
  • Yongcheng Wang

4 June 2025

Benefiting from the development of deep learning, the super-resolution technology for remote sensing hyperspectral images (HSIs) has achieved impressive progress. However, due to the high coupling of complex components in remote sensing HSIs, it is c...

  • Article
  • Open Access
805 Views
21 Pages

4 June 2025

This paper addresses the challenge of robust pose estimation for spacecraft under rapid inter-frame motion, proposing a two-stage point cloud registration framework. The first stage computes coarse pose estimation by leveraging Fast Point Feature His...

  • Article
  • Open Access
1,321 Views
28 Pages

4 June 2025

Deep neural networks (DNNs) have shown strong performance in synthetic aperture radar (SAR) image classification. However, their “black-box” nature limits interpretability and poses challenges for robustness, which is critical for sensiti...

  • Article
  • Open Access
660 Views
29 Pages

Aerial Biological Target Classification Based on Time–Frequency Multi-Scale Feature Fusion Network

  • Lianjun Wang,
  • Rui Wang,
  • Weidong Li,
  • Jiangtao Wang,
  • Yujia Yan and
  • Cheng Hu

4 June 2025

Migrating insects and birds are the primary biological targets in the aerial ecosystem. Radar is a powerful tool for monitoring and studying aerial animals. However, accurately identifying insects and birds based on radar observations has remained an...

  • Technical Note
  • Open Access
620 Views
16 Pages

4 June 2025

Ambient fine particulate matter of size less than 2.5 μm in aerodynamic diameter (PM2.5) is a key ambient air pollutant that has been linked to numerous adverse health outcomes. Reliable estimates of PM2.5 are important for supporting epidemiologi...

  • Technical Note
  • Open Access
1,217 Views
14 Pages

4 June 2025

Previous lunar missions, such as Surveyor, Apollo, and the Lunar Atmosphere and Dust Environment Explorer (LADEE), have played a pivotal role in advancing our understanding of the lunar exosphere’s dynamics and its relationship with solar wind...

of 16