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Remote Sensing, Volume 16, Issue 20

October-2 2024 - 163 articles

Cover Story: To address positioning challenges in urban canyons, a sky-view image segmentation algorithm based on Fully Convolutional Networks (FCNs) is proposed for GNSS NLOS detection. The novel S-NDM algorithm integrates GNSS, IMU, and vision systems in a tightly coupled framework named Sky-GVIO, providing continuous and accurate positioning. Tested under SPP and RTK models, Sky-GVIO achieves meter-level accuracy in SPP and sub-decimeter precision in RTK, outperforming conventional GNSS/INS/Vision frameworks. A sky-view image dataset has also been made publicly available for use in research via the following link: https://github.com/whuwangjr/sky-view-images. View this paper
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Articles (163)

  • Article
  • Open Access
3 Citations
2,711 Views
20 Pages

Enhancing Algal Bloom Level Monitoring with CYGNSS and Sentinel-3 Data

  • Yan Jia,
  • Zhiyu Xiao,
  • Liwen Yang,
  • Quan Liu,
  • Shuanggen Jin,
  • Yan Lv and
  • Qingyun Yan

21 October 2024

Algal blooms, resulting from the overgrowth of algal plankton in water bodies, pose significant environmental problems and necessitate effective remote sensing methods for monitoring. In recent years, Global Navigation Satellite System–Reflecto...

  • Article
  • Open Access
2 Citations
2,149 Views
24 Pages

Ozone Detector Based on Ultraviolet Observations on the Martian Surface

  • Daniel Viúdez-Moreiras,
  • Alfonso Saiz-Lopez,
  • Michael D. Smith,
  • Víctor Apestigue,
  • Ignacio Arruego,
  • Elisa García,
  • Juan J. Jiménez,
  • José A. Rodriguez-Manfredi,
  • Daniel Toledo and
  • Mike Wolff
  • + 1 author

21 October 2024

Ozone plays a key role in both atmospheric chemistry and UV absorption in planetary atmospheres. On Mars, upper-tropospheric ozone has been widely characterized by space-based instruments. However, surface ozone remains poorly characterized, hindered...

  • Technical Note
  • Open Access
1,714 Views
15 Pages

Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network

  • Damianos F. Mantsis,
  • Anastasia Moumtzidou,
  • Ioannis Lioumbas,
  • Ilias Gialampoukidis,
  • Aikaterini Christodoulou,
  • Alexandros Mentes,
  • Stefanos Vrochidis and
  • Ioannis Kompatsiaris

21 October 2024

The detection of complex formations, initially suspected to be oil spills, is investigated using atmospherically corrected multispectral satellite images and deep learning techniques. Several formations have been detected in an inland lake in Norther...

  • Article
  • Open Access
5 Citations
3,036 Views
22 Pages

Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder–Decoder Network

  • Fang Wang,
  • Xingqian Du,
  • Weiguang Zhang,
  • Liang Nie,
  • Hu Wang,
  • Shun Zhou and
  • Jun Ma

21 October 2024

The rapid development of sensor technology has made multi-modal remote sensing data valuable for land cover classification due to its diverse and complementary information. Many feature extraction methods for multi-modal data, combining light detecti...

  • Article
  • Open Access
1,688 Views
21 Pages

ER-MACG: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on FY4A Satellite Data

  • Mingyue Lu,
  • Jingke Zhang,
  • Manzhu Yu,
  • Hui Liu,
  • Caifen He,
  • Tongtong Dong and
  • Yongwei Mao

21 October 2024

Extreme precipitation events often present significant risks to human life and property, making their accurate prediction an essential focus of current research. Recent studies have primarily concentrated on exploring the formation mechanisms of extr...

  • Article
  • Open Access
1,617 Views
21 Pages

Cross-Spectral Navigation with Sensor Handover for Enhanced Proximity Operations with Uncooperative Space Objects

  • Massimiliano Bussolino,
  • Gaia Letizia Civardi,
  • Matteo Quirino,
  • Michele Bechini and
  • Michèle Lavagna

21 October 2024

Close-proximity operations play a crucial role in emerging mission concepts, such as Active Debris Removal or small celestial bodies exploration. When approaching a non-cooperative target, the increased risk of collisions and reduced reliance on grou...

  • Article
  • Open Access
2,219 Views
16 Pages

Seasonal and Interannual Variations in Sea Ice Thickness in the Weddell Sea, Antarctica (2019–2022) Using ICESat-2

  • Mansi Joshi,
  • Alberto M. Mestas-Nuñez,
  • Stephen F. Ackley,
  • Stefanie Arndt,
  • Grant J. Macdonald and
  • Christian Haas

21 October 2024

The sea ice extent in the Weddell Sea exhibited a positive trend from the start of satellite observations in 1978 until 2016 but has shown a decreasing trend since then. This study analyzes seasonal and interannual variations in sea ice thickness usi...

  • Article
  • Open Access
1 Citations
2,552 Views
21 Pages

21 October 2024

Satellite-derived Land Surface Temperature (LST) plays an important role in research on natural energy balance and water cycle. Considering the tradeoff between spatial and temporal resolutions, accurate fine-resolution LST must be obtained through t...

  • Article
  • Open Access
3 Citations
2,077 Views
17 Pages

21 October 2024

Millimeter-wave radars are widely used in various environments due to their excellent detection capabilities. However, the detection performance in severe weather environments is still an important research challenge. In this paper, the propagation c...

  • Article
  • Open Access
1 Citations
1,783 Views
21 Pages

Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model

  • Xiaolong Hu,
  • Liangsheng Shi,
  • Lin Lin,
  • Shenji Li,
  • Xianzhi Deng,
  • Jinmin Li,
  • Jiang Bian,
  • Chenye Su,
  • Shuai Du and
  • Tinghan Wang
  • + 2 authors

21 October 2024

Accurate estimation of gross primary production (GPP) of paddy rice fields is essential for understanding cropland carbon cycles, yet remains challenging due to spatial heterogeneity. In this study, we integrated high-resolution unmanned aerial vehic...

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Remote Sens. - ISSN 2072-4292