Results 131 to 140 of about 1,634,404 (238)

A New Global Hypsometric Data Set Derived From Satellite and Geometric Methods for Reservoir Storage Estimation

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Reservoir hypsometric relationships are crucial in determining water storage changes and modeling hydrological processes. Previous studies have demonstrated that uncertainties in reservoir surface area observations are a primary source of error in satellite‐derived storage estimates.
Ngoc T. Nguyen, Tien L. T. Du, Hyongki Lee, Hong‐Yi Li, Duong D. Bui, Hahn Chul Jung, Kuo‐Hsin Tseng   +6 more
wiley   +1 more source

Satellite‐Based Fishing Fleet Tracking: A New Foundation for Fisheries Science and Management

Fish and Fisheries, Volume 27, Issue 5, Page 1134-1150, September 2026.
ABSTRACT Satellite‐based vessel‐tracking technologies have ushered in a new era for monitoring fishing activity at scale. By combining artificial intelligence (AI) methods with remotely‐sensed data, researchers can now detect, classify and analyse fishing behaviour across vast and previously unobservable ocean regions.
Jennifer Raynor, Tai Lohrer
wiley   +1 more source

Surface displacements and source parameters of the 2003 Bam (Iran) earthquake from Envisat advanced synthetic aperture radar imagery [PDF]

The M w 6.6, 26 December 2003 Bam (Iran) earthquake was one of the first earthquakes for which Envisat advanced synthetic aperture radar (ASAR) data were available.
Fielding, E. J., Wright, T. J., Funning, G. J., Parsons, B., Jackson, J. A.   +4 more
core   +1 more source

Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau, Nurfashareena Muhamad, Aida Soraya Shamsuddin, Zulfaqar Sa'adi, Zaini Sakawi, Oliver Valentine Eboy, Nik Norliati Fitri Md Nor   +6 more
wiley   +1 more source

SARrawSim: Synthetic Aperture Radar Raw Data Simulator

SoftwareX
This manuscript introduces a synthetic aperture radar (SAR) simulator and presents the application of the Range-Doppler Algorithm (RDA) to process the simulated SAR data.
Alfonso José Zozaya Sahad
doaj   +1 more source

Comparative Analysis of Urban Flood Mapping Using Sentinel‐1 SAR Imagery and Machine Learning

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flood mapping using remote sensing data has the potential to play a crucial role in monitoring and assessing flood events, particularly in urban environments, where complex infrastructure creates significant challenges. While Synthetic Aperture Radar (SAR) has promising potential for flood mapping, current methods struggle in the urban ...
Md Abdullah Al Mehedi, Virginia Smith, Peleg Kremer   +2 more
wiley   +1 more source

Surface ruptures and building damage of the 2003 Bam, Iran earthquake mapped by satellite synthetic apeerture radar interferometric correlation [PDF]

We use the interferometric correlation from Envisat synthetic aperture radar (SAR) images to map the details of the surface ruptures related to the 26 December 2003 earthquake that devastated Bam, Iran.
Fielding, E. J., Rosen, P. A., Nazari, H., Walker, R., Talebian, M., Ghorashi, M., Jackson, J. A.   +6 more
core   +1 more source

Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21st Century

Land Degradation &Development, Volume 37, Issue 14, Page 10127-10146, 30 August 2026.
ABSTRACT The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship
Chengyin Liu, Hongpeng Liu, Yan Xu, Yiyun Zhang, Chengyuan Wang, Yao Yao, Binyu Wang, Hairui Yu, Yuzhu Zhao, Mingze Li, Xuegang Mao   +10 more
wiley   +1 more source

Rapid UAV‐ and Ground‐Based Magnetic Mapping of Subsurface Fractures During a Volcano‐Tectonic Crisis in Grindavík, Iceland

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract We applied an integrated UAV‐ and ground‐based magnetometry workflow to map shallow subsurface fractures and cavities in the town of Grindavík during the 2023–2025 volcano‐tectonic crisis. Short‐wavelength linear and semi‐circular magnetic lows delineate open or partially open fractures and localized cavities, including features with no ...
E. J. Piispa, C. R. Gallagher, S. Bernholt, G. M. Einarsson, Ö. Erlendsson, K. Á. Karlsdóttir, M. Á. Sigurgeirsson, R. A. Askew, D. Ben‐Yehoshua, B. V. Óskarsson, S. R. Gunnarson, M. T. Gudmundsson, G. Björnsson   +12 more
wiley   +1 more source

Planar Super‐Oscillation Diffractive Lenses: Practical Developments and Applications

Nanophotonics, Volume 15, Issue 16, 26 August 2026.
This review examines planar super‐oscillation diffractive lenses as a unified framework for super‐oscillatory lenses and supercritical lenses. It focuses on applications in super‐resolution imaging, micro/nanofabrication, and precision measurement and relates their application‐specific requirements to focal‐field control, multiobjective design ...
Yutian Cheng, Lingyi Tang, Xingcheng Xiao, Xiaochang Yu, Ya Guo, Yiting Yu, Wenli Li   +6 more
wiley   +1 more source