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Remote Sensing, Volume 17, Issue 15

August-1 2025 - 211 articles

Cover Story: Convection is a key driver of the global atmospheric circulation and the climate system. However, its representation in high-resolution models remains challenging. In this study, we examine selected convective cases from the TRACER/ESCAPE campaign in Houston, TX, in the summer of 2022. Ground-based radar and GOES-R geostationary visible and infrared sensor data are used to track and analyse convective cores. While radar observations provide an unparalleled view of the internal structure of convective cells, GOES infrared brightness temperatures aid the tracking of early convective stages via cloud-top cooling rates, but, in the presence of sub-kilometer convective structures, the coarse resolution of the instrument limits their effectiveness. Combining the two instruments provides a broader temporal and spatial context, offering a more complete view of the stages of convection. View this paper
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Articles (211)

  • Article
  • Open Access
1 Citations
1,355 Views
29 Pages

Deep Learning Small Water Body Mapping by Transfer Learning from Sentinel-2 to PlanetScope

  • Yuyang Li,
  • Pu Zhou,
  • Yalan Wang,
  • Xiang Li,
  • Yihang Zhang and
  • Xiaodong Li

7 August 2025

Small water bodies are widely spread and play crucial roles in supporting regional agricultural and aquaculture activities. PlanetScope imagery has a high resolution (3 m) with daily global coverage and has obviously enhanced small water body mapping...

  • Article
  • Open Access
651 Views
20 Pages

Improved Photosynthetic Accumulation Models for Biomass Estimation of Soybean and Cotton Using Vegetation Indices and Canopy Height

  • Jinglong Liu,
  • Jordi J. Mallorqui,
  • Albert Aguasca,
  • Xavier Fàbregas,
  • Antoni Broquetas,
  • Jordi Llop,
  • Mireia Mas,
  • Feng Zhao and
  • Yanan Wang

7 August 2025

Most crops accumulate above-ground biomass (AGB) through photosynthesis, inspiring the development of the Photosynthetic Accumulation Model (PAM) and Simplified PAM (SPAM). Both models estimate AGB based on time-series optical vegetation indices (VIs...

  • Article
  • Open Access
884 Views
27 Pages

Spatiotemporal Super-Resolution of Satellite Sea Surface Salinity Based on a Progressive Transfer Learning-Enhanced Transformer

  • Zhenyu Liang,
  • Senliang Bao,
  • Weimin Zhang,
  • Huizan Wang,
  • Hengqian Yan,
  • Juan Dai and
  • Peikun Xiao

7 August 2025

Satellite sea surface salinity (SSS) products suffer from coarse spatiotemporal resolution, limiting their utility for mesoscale ocean monitoring. To address this, we proposed the Transformer-based satellite SSS super-resolution (SR) model (TSR) coup...

  • Article
  • Open Access
574 Views
23 Pages

A Novel Method for Single-Station Lightning Distance Estimation Based on the Physical Time Reversal

  • Yingcheng Zhao,
  • Zheng Sun,
  • Yantao Duan,
  • Hailin Chen,
  • Yicheng Liu and
  • Lihua Shi

7 August 2025

A single-station lightning location has the obvious advantages of low cost and convenience in lightning monitoring and warning. To address the critical challenge of distance estimation accuracy in this technology, we propose a novel physical time-rev...

  • Article
  • Open Access
1 Citations
866 Views
28 Pages

7 August 2025

Precipitation concentration reflects the uneven temporal distribution of rainfall. It plays a critical role in water resource management and flood–drought risk under climate change. However, its long-term trends, associations with atmospheric t...

  • Technical Note
  • Open Access
3,680 Views
34 Pages

7 August 2025

Archaeological research fundamentally relies on detecting features to uncover hidden historical information. Airborne (aerial) LiDAR technology has significantly advanced this field by providing high-resolution 3D terrain maps that enable the identif...

  • Article
  • Open Access
837 Views
42 Pages

7 August 2025

Research regarding airborne laser scanning (ALS) point cloud semantic segmentation typically revolves around supervised machine learning, which requires time-consuming generation of training data. Therefore, the models are usually trained using one o...

  • Article
  • Open Access
1,162 Views
22 Pages

All-Weather Precipitable Water Vapor Retrieval over Land Using Integrated Near-Infrared and Microwave Satellite Observations

  • Shipeng Song,
  • Mengyao Zhu,
  • Zexing Tao,
  • Duanyang Xu,
  • Sunxin Jiao,
  • Wanqing Yang,
  • Huaxuan Wang and
  • Guodong Zhao

7 August 2025

Precipitable water vapor (PWV) is a critical component of the Earth’s atmosphere, playing a pivotal role in weather systems, climate dynamics, and hydrological cycles. Accurate estimation of PWV is essential for numerical weather prediction, cl...

  • Article
  • Open Access
2 Citations
1,176 Views
27 Pages

A Framework to Retrieve Water Quality Parameters in Small, Optically Diverse Freshwater Ecosystems Using Sentinel-2 MSI Imagery

  • Matheus Henrique Tavares,
  • David Guimarães,
  • Joana Roussillon,
  • Valentin Baute,
  • Julien Cucherousset,
  • Stéphanie Boulêtreau and
  • Jean-Michel Martinez

7 August 2025

Small lakes (<10 km2) provide a range of ecosystem services but are often overlooked in both monitoring efforts and limnological studies. Remote sensing has been increasingly used to complement in situ monitoring or to provide water colour data fo...

  • Article
  • Open Access
926 Views
28 Pages

Freezing Fog Microphysics and Visibility Based on CFACT Feb 19 Case

  • Onur Durmus,
  • Ismail Gultepe,
  • Orhan Sen,
  • Zhaoxia Pu,
  • Eric R. Pardyjak,
  • Sebastian W. Hoch,
  • Alexei Perelet,
  • Anna G. Hallar,
  • Gerardo Carrillo-Cardenas and
  • Simla Durmus

7 August 2025

The objective of this study is to analyze microphysical parameters affecting visibility parameterizations of a freezing fog case that occurred on 19 February 2022, during the Cold Fog Amongst Complex Terrain (CFACT) project conducted in a high-elevat...

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Remote Sens. - ISSN 2072-4292