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Remote Sensing, Volume 16, Issue 12

June-2 2024 - 208 articles

Cover Story: This study addresses the data gap in the deep learning-based pan sharpening of hyperspectral images, a technique used to improve the spatial resolution of an image using a high-resolution panchromatic image while preserving spectral information. Using the ASI PRISMA sensor, a dataset of 262,200 km2 was collected, making it the largest dataset in terms of statistical relevance and scene diversity, which are essential for robust model generalization. Reduced resolution (RR) and full resolution (FR) experiments were also conducted to compare several deep learning pan sharpening algorithms with various non-machine learning methods. The investigation shows that data-driven neural networks significantly outperform traditional methods in terms of spectral and spatial fidelity. An in-depth analysis of both aspects is presented in this work. View this paper
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Articles (208)

  • Article
  • Open Access
4 Citations
2,118 Views
18 Pages

Multi-Scale Window Spatiotemporal Attention Network for Subsurface Temperature Prediction and Reconstruction

  • Jiawei Jiang,
  • Jun Wang,
  • Yiping Liu,
  • Chao Huang,
  • Qiufu Jiang,
  • Liqiang Feng,
  • Liying Wan and
  • Xiangguang Zhang

20 June 2024

In this study, we investigate the feasibility of using historical remote sensing data to predict the future three-dimensional subsurface ocean temperature structure. We also compare the performance differences between predictive models and real-time...

  • Article
  • Open Access
12 Citations
2,204 Views
31 Pages

Comprehensive Ecological Risk Changes and Their Relationship with Ecosystem Services of Alpine Grassland in Gannan Prefecture from 2000–2020

  • Zhanping Ma,
  • Jinlong Gao,
  • Tiangang Liang,
  • Zhibin He,
  • Senyao Feng,
  • Xuanfan Zhang and
  • Dongmei Zhang

20 June 2024

Alpine grassland is one of the most fragile and sensitive ecosystems, and it serves as a crucial ecological security barrier on the Tibetan Plateau. Due to the combined influence of climate change and human activities, the degradation of the alpine g...

  • Article
  • Open Access
2 Citations
2,512 Views
20 Pages

20 June 2024

Low-frequency communication constitutes a vital component of essential communication systems, serving a pivotal role in remote radio communication, navigation, timing, and seismic analysis. To enhance the predictive precision of low-frequency skywave...

  • Article
  • Open Access
5 Citations
2,541 Views
28 Pages

20 June 2024

The timing, location, intensity, and drivers of forest disturbance and recovery are crucial for developing effective management strategies and policies for forest conservation and ecosystem resilience. Although many algorithms and improvement methods...

  • Article
  • Open Access
3 Citations
3,406 Views
19 Pages

Highlighting the Use of UAV to Increase the Resilience of Native Hawaiian Coastal Cultural Heritage

  • Kainalu K. Steward,
  • Brianna K. Ninomoto,
  • Haunani H. Kane,
  • John H. R. Burns,
  • Luke Mead,
  • Kamala Anthony,
  • Luka Mossman,
  • Trisha Olayon,
  • Cybil K. Glendon-Baclig and
  • Cherie Kauahi

20 June 2024

The use of Uncrewed Aerial Vehicles (UAVs) is becoming a preferred method for supporting integrated coastal zone management, including cultural heritage sites. Loko i′a, traditional Hawaiian fishponds located along the coastline, have historica...

  • Article
  • Open Access
4 Citations
2,662 Views
17 Pages

20 June 2024

Automatic recognition of species is important for the conservation and management of biodiversity. However, since closely related species are visually similar, it is difficult to distinguish them by images alone. In addition, traditional species-reco...

  • Article
  • Open Access
3 Citations
2,698 Views
17 Pages

Estimating Pavement Condition by Leveraging Crowdsourced Data

  • Yangsong Gu,
  • Mohammad Khojastehpour,
  • Xiaoyang Jia and
  • Lee D. Han

20 June 2024

Monitoring pavement conditions is critical to pavement management and maintenance. Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser scanning. However, the geographical coverage and temporal frequency are con...

  • Article
  • Open Access
5 Citations
3,229 Views
20 Pages

19 June 2024

In the coal-rich provinces of Shanxi, Shaanxi, and Inner Mongolia, the landscape bears the scars of coal extraction—namely subsidence and deformation—that disrupt both the terrain and the delicate ecological balance. This research delves...

  • Article
  • Open Access
5 Citations
2,006 Views
18 Pages

Three-Dimensional Rockslide Analysis Using Unmanned Aerial Vehicle and LiDAR: The Castrocucco Case Study, Southern Italy

  • Antonio Minervino Amodio,
  • Giuseppe Corrado,
  • Ilenia Graziamaria Gallo,
  • Dario Gioia,
  • Marcello Schiattarella,
  • Valentino Vitale and
  • Gaetano Robustelli

19 June 2024

Rockslides are one of the most dangerous hazards in mountainous and hilly areas. In this study, a rockslide that occurred on 30 November 2022 in Castrocucco, a district located in the Italian municipality of Maratea (Potenza province) in the Basilica...

  • Article
  • Open Access
3 Citations
2,575 Views
20 Pages

Tracking Loop Current Eddies in the Gulf of Mexico Using Satellite-Derived Chlorophyll-a

  • Corinne B. Trott,
  • Bulusu Subrahmanyam,
  • Luna Hiron and
  • Olmo Zavala-Romero

19 June 2024

During the period of 2018–2022, there were six named Loop Current Eddy (LCE) shedding events in the central Gulf of Mexico (GoM). LCEs form when a large anticyclonic eddy (AE) separates from the main Loop Current (LC) and propagates westward. I...

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Remote Sens. - ISSN 2072-4292