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Remote Sensing, Volume 17, Issue 13

July-1 2025 - 221 articles

Cover Story: Tropical forests are rich in biodiversity but face increasing pressure from human-driven degradation and land-use changes. Monitoring the disturbance and recovery of such forests is essential for effective conservation. Robust assessment requires remote sensing tools capable of penetrating cloud cover and detecting changes in forest structure over time. This study leverages over a decade of spaceborne L-band synthetic aperture radar (SAR) to track forest disturbances and regeneration in Ecuador’s Lowland Chocó biodiversity hotspot. By analyzing changes in radar image texture derived from time series SAR, this study characterizes forest recovery across conservation landscapes. The proposed approach is especially relevant to the upcoming NASA-ISRO NISAR mission, which will greatly enhance the global Earth observation capacity to monitor vegetation structure and biodiversity from space. View this paper
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Articles (221)

  • Article
  • Open Access
1 Citations
1,018 Views
18 Pages

Theoretical Potential of TanSat-2 to Quantify China’s CH4 Emissions

  • Sihong Zhu,
  • Dongxu Yang,
  • Liang Feng,
  • Longfei Tian,
  • Yi Liu,
  • Junji Cao,
  • Minqiang Zhou,
  • Zhaonan Cai,
  • Kai Wu and
  • Paul I. Palmer

7 July 2025

Satellite-based monitoring of atmospheric column-averaged dry-air mole fraction (XCH4) is essential for quantifying methane (CH4) emissions, yet uncharacterized spatially varying biases in XCH4 observations can cause misattribution in flux estimates....

  • Technical Note
  • Open Access
768 Views
16 Pages

VGOS Dual Linear Polarization Data Processing Techniques Applied to Differential Observation of Satellites

  • Jiangying Gan,
  • Fengchun Shu,
  • Xuan He,
  • Yidan Huang,
  • Fengxian Tong and
  • Yan Sun

7 July 2025

The Very Long Baseline Interferometry Global Observing System (VGOS), a global network of stations equipped with small-diameter, fast-slewing antennas and broadband receivers, is primarily utilized for geodesy and astrometry. In China, the Shanghai a...

  • Article
  • Open Access
825 Views
24 Pages

Unveiling Spatiotemporal Differences and Responsive Mechanisms of Seamless Hourly Ozone in China Using Machine Learning

  • Jiachen Fan,
  • Tijian Wang,
  • Qingeng Wang,
  • Mengmeng Li,
  • Min Xie,
  • Shu Li,
  • Bingliang Zhuang and
  • Ume Kalsoom

7 July 2025

Surface ozone (O3) is a multifaceted threat that not only deteriorates the environment but also poses risks to human health. Here, we estimated the seamless hourly surface O3 in China using Extreme Gradient Boosting (XGBoost) with multisource data fu...

  • Article
  • Open Access
761 Views
24 Pages

6 July 2025

Valuation of ecosystem services (ESs) is crucial for understanding the benefits provided by ecosystems and informing sustainable management and policy decisions related to ecosystem protection. This study explores the disagreements in ecosystem servi...

  • Article
  • Open Access
923 Views
17 Pages

6 July 2025

The monsoon is regarded as a key system influencing tropical cyclone (TC) activity over the Western North Pacific (WNP). However, the relationship between WNP TC frequency (TCF) and the monsoon across different timescales remains incompletely underst...

  • Article
  • Open Access
1,462 Views
23 Pages

TBFH: A Total-Building-Focused Hybrid Dataset for Remote Sensing Image Building Detection

  • Lin Yi,
  • Feng Wang,
  • Guangyao Zhou,
  • Niangang Jiao,
  • Minglin He,
  • Jingxing Zhu and
  • Hongjian You

6 July 2025

Building extraction plays a crucial role in a variety of applications, including urban planning, high-precision 3D reconstruction, and environmental monitoring. In particular, the accurate detection of tall buildings is essential for reliable modelin...

  • Article
  • Open Access
927 Views
28 Pages

SFT-GAN: Sparse Fast Transformer Fusion Method Based on GAN for Remote Sensing Spatiotemporal Fusion

  • Zhaoxu Ma,
  • Wenxing Bao,
  • Wei Feng,
  • Xiaowu Zhang,
  • Xuan Ma and
  • Kewen Qu

5 July 2025

Multi-source remote sensing spatiotemporal fusion aims to enhance the temporal continuity of high-spatial, low-temporal-resolution images. In recent years, deep learning-based spatiotemporal fusion methods have achieved significant progress in this f...

  • Article
  • Open Access
1 Citations
2,736 Views
23 Pages

5 July 2025

High-accuracy streamflow forecasting with long lead times can help promote the efficient utilization of water resources. However, the construction of cascade reservoirs has allowed the evolution of natural continuous rivers into multi-block rivers. T...

  • Article
  • Open Access
1,003 Views
39 Pages

SDRFPT-Net: A Spectral Dual-Stream Recursive Fusion Network for Multispectral Object Detection

  • Peida Zhou,
  • Xiaoyong Sun,
  • Bei Sun,
  • Runze Guo,
  • Zhaoyang Dang and
  • Shaojing Su

5 July 2025

Multispectral object detection faces challenges in effectively integrating complementary information from different modalities in complex environmental conditions. This paper proposes SDRFPT-Net (Spectral Dual-stream Recursive Fusion Perception Targe...

  • Article
  • Open Access
7 Citations
2,444 Views
31 Pages

YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles

  • Shimin Weng,
  • Han Wang,
  • Jiashu Wang,
  • Changming Xu and
  • Ende Zhang

5 July 2025

Unmanned Aerial Vehicles (UAVs) face a significant challenge in balancing high accuracy and high efficiency when performing real-time object detection tasks, especially amidst intricate backgrounds, diverse target scales, and stringent onboard comput...

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Remote Sens. - ISSN 2072-4292