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

Remote Sensing, Volume 17, Issue 5

March-1 2025 - 212 articles

Cover Story: The following study introduces a novel framework for predicting soil organic carbon by integrating spectral data from a low-cost near-infrared device with open geospatial datasets derived from remote sensing. The proposed hybrid modeling approach processes multimodal data using convolutional neural networks to extract spectral features, which are then combined with climate, landform, and vegetation covariates in an extreme gradient boosting model. Applied at a national scale across the United States, this architecture significantly enhances predictive performance compared to traditional machine learning methods while enabling interpretability. By identifying key environmental drivers such as rainfall and valley bottom flatness, the model provides deeper insights into SOC variability, demonstrating the power of multimodal data fusion for soil assessment. View this paper
  • 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.

Articles (212)

  • Article
  • Open Access
2 Citations
1,453 Views
25 Pages

6 March 2025

Modern radar systems commonly utilize monopulse angle estimation techniques for target angle estimation, with the phase comparison method being one of the most widely adopted approaches. While the phase comparison method achieves high estimation prec...

  • Article
  • Open Access
1,809 Views
24 Pages

6 March 2025

Recurrent blooms of Ulva prolifera (U. prolifera) in the South Yellow Sea (SYS) have become a significant ecological and socio-economic challenge, disrupting marine ecosystems, aquaculture, and coastal tourism. Traditional methods for detecting and m...

  • Article
  • Open Access
2 Citations
1,686 Views
19 Pages

Estimation of Forest Canopy Height Using ATLAS Data Based on Improved Optics and EEMD Algorithms

  • Guanran Wang,
  • Ying Yu,
  • Mingze Li,
  • Xiguang Yang,
  • Hanyuan Dong and
  • Xuebing Guan

6 March 2025

The Ice, Cloud, and Land Elevation 2 (ICESat-2) mission uses a micropulse photon-counting lidar system for mapping, which provides technical support for capturing forest parameters and carbon stocks over large areas. However, the current algorithm is...

  • Article
  • Open Access
3 Citations
2,328 Views
21 Pages

6 March 2025

Wind power plays a pivotal role in the achievement of carbon peaking and carbon neutrality. Extensive evidence has demonstrated that there are adverse impacts of wind power expansion on natural ecosystems, particularly on forests, such as forest degr...

  • Essay
  • Open Access
5 Citations
2,781 Views
13 Pages

6 March 2025

On 7 January 2025, at Beijing time, an Mw7.1 earthquake occurred in Dingri County, Shigatse, Tibet. To accurately determine the fault that caused this earthquake and understand the source mechanism, this study utilized Differential Interferometric Sy...

  • Article
  • Open Access
2 Citations
1,958 Views
22 Pages

6 March 2025

The turbulent energy dissipation rate (EDR) is a quantitative measure of turbulence intensity, and it is widely used across various fields. Accurate estimation of EDR using Doppler lidar depends on the choice of estimation technique and scanning stra...

  • Article
  • Open Access
1 Citations
1,416 Views
18 Pages

6 March 2025

Woody plants serve as crucial ecological barriers surrounding oases in arid and semi-arid regions, playing a vital role in maintaining the stability and supporting sustainable development of oases. However, their sparse distribution makes significant...

  • Article
  • Open Access
8 Citations
6,124 Views
26 Pages

Estimating Aboveground Biomass and Carbon Sequestration in Afforestation Areas Using Optical/SAR Data Fusion and Machine Learning

  • Kashif Khan,
  • Shahid Nawaz Khan,
  • Anwar Ali,
  • Muhammad Fahim Khokhar and
  • Junaid Aziz Khan

6 March 2025

The growing population and the impacts of climate change present a major challenge to forests, which play a crucial role in regulating the carbon cycle. Pakistan, as a Kyoto Protocol signatory, has implemented afforestation initiatives such as the Kh...

  • Article
  • Open Access
6 Citations
3,521 Views
18 Pages

6 March 2025

Plastic waste has become a critical environmental issue, necessitating effective methods for detection and monitoring. This article presents a machine-learning-based methodology and embedded solution to detect plastic waste in the environment using a...

  • Article
  • Open Access
2 Citations
1,340 Views
22 Pages

E2S: A UAV-Based Levee Crack Segmentation Framework Using the Unsupervised Deblurring Technique

  • Fangyi Wang,
  • Zhaoli Wang,
  • Xushu Wu,
  • Di Wu,
  • Haiying Hu,
  • Xiaoping Liu and
  • Yan Zhou

6 March 2025

The accurate detection and monitoring of levee cracks is critical for maintaining the structural integrity and safety of flood protection infrastructure. Yet at present the application of using UAV to achieve an automatic, rapid detection of levee cr...

of 22

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Remote Sens. - ISSN 2072-4292