Results 51 to 60 of about 30,622 (235)

Interseismic Creep Along the Enriquillo–Plantain Garden Fault, Haiti, Estimated From InSAR

open access: yesGeophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left‐lateral strike‐slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust‐slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel‐1 interferometric ...
Rishabh Dutta   +2 more
wiley   +1 more source

PRELIMINARY RESULTS OF ESTIMATING SOIL MOISTURE OVER BARE SOIL USING FULL-POLARIMETRIC ALOS-2 DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Synthetic Aperture Radar (SAR) imaging system is one of the most effective way for Earth observation. The aim of this study is to present the preliminary results about estimating soil moisture using L-band Synthetic Aperture Radar (SAR) data.
A. Sekertekin   +3 more
doaj   +1 more source

Multichannel False-target Discrimination in SAR Images Based on Sub-aperture and Full-aperture Feature Learning

open access: yesLeida xuebao, 2021
False targets caused by multichannel Synthetic Aperture Radar (SAR) are similar to a defocused ship in both shape and texture, making it difficult to discriminate in the full-aperture SAR image.
Lin MA   +6 more
doaj   +1 more source

Reconstructing Marine Boundary Layer Jets Over the South China Sea Using Machine Learning

open access: yesGeophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Marine boundary layer jets (MBLJs) over the South China Sea (SCS) play a critical role in coastal heavy rainfall, yet their structure remains uncertain due to limited wind observations over the ocean. Here, we develop a U‐Net–based reconstruction framework to estimate 950‐hPa winds from satellite‐derived sea surface winds, providing a ...
Yican Lin, Yu Du, Jiuke Wang
wiley   +1 more source

Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase

open access: yesLeida xuebao, 2016
Observation data obtained from the Four-Dimensional (4D) Synthetic Aperture Radar (SAR) system is sparse and non-uniform in the baseline-time plane. Hence, the imaging results acquired by traditional Fourier-based methods are limited by high side lobes ...
Ren Xiaozhen, Yang Ruliang
doaj   +1 more source

Are Pixel Intensities Proportional To Radar Cross Section In SAR Images?

open access: yes, 2012
Radar cross section has long been the measurement quantity of choice to describe the radar reflectivity of point targets in calibrated synthetic aperture radar (SAR) images.
Döring, Björn J.   +3 more
core   +1 more source

The spread of non‐native species

open access: yesBiological Reviews, Volume 101, Issue 3, Page 1197-1234, June 2026.
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock   +16 more
wiley   +1 more source

Micro-Motion Estimation of Maritime Targets Using Pixel Tracking in Cosmo-Skymed Synthetic Aperture Radar Data—An Operative Assessment

open access: yesRemote Sensing, 2019
In this paper, we propose a novel strategy to estimate the micro-motion (m-m) of ships from synthetic aperture radar (SAR) images. To this end, observe that the problem of motion and m-m detection of targets is usually solved using synthetic aperture ...
Filippo Biondi   +3 more
doaj   +1 more source

The Radiometric Measurement Quantity for SAR Images

open access: yes, 2013
A Synthetic Aperture Radar (SAR) system measures among other quantities the terrain radar reflectivity. After image calibration, the pixel intensities are commonly expressed in terms of radar cross sections (for point targets) or as backscatter ...
Döring, Björn, Schwerdt, Marco
core   +1 more source

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy