Results 51 to 60 of about 24,582,597 (181)

Comparative Performance Of ALOS PALSAR Polarization Bands And Its Combination With ALOS AVNIR-2 Data For Land Cover Classification [PDF]

open access: yes, 2012
Microwave Remote Sensing data have been widely used for land cover classification in our environment. In this study, ALOS PALSAR polarization bands were used to identify land cover features in three study areas in Malaysia.
Sim, Chong Keat
core   +1 more source

Adaptability Analysis of Sentinel−1A and ALOS/PALSAR−2 in Landslide Detection in the Qinling-Daba Mountains

open access: yesApplied Sciences, 2023
Due to the complex terrain and intense tectonic activity, and harsh climate in the Qinling-Daba Mountains, many landslides occur in the area. Most of these landslides are extremely active, posing a serious threat to the safety and property of local ...
Shuai Yang   +5 more
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Perbandingan Akurasi Klasifikasi Penutup Lahan Hasil Penggabungan Citra ALOS AVNIR-2 dan ALOS PALSAR pada Polarisasi Berbeda dengan Transformasi Wavelet [PDF]

open access: yes, 2012
Penggabungan citra merupakan salah satu alternatif dari penggunaan citra penginderaan jauh yang konvensional atau secara individu. Penelitian ini mengkaji peningkatan akurasi klasifikasi citra ALOS PALSAR yang digabungkan dengan citra ALOS AVNIR-2 ...
Farda, Nur Mohammad; Fakultas Geografi UGM   +1 more
core  

Estimation of forest leaf area index using satellite multispectral and synthetic aperture radar data in Iran

open access: yesiForest - Biogeosciences and Forestry, 2021
Different satellite datasets, including multispectral Sentinel 2 and synthetic aperture radar Sentinel 1 and ALOS2, were tested to estimate the Leaf Area Index (LAI) in the Zagros forests, Ilam province, in Iran.
Vafaei S   +5 more
doaj   +1 more source

Detection of triggered shallow slips caused by large earthquakes using L-band SAR interferometry

open access: yesEarth, Planets and Space, 2020
Interferograms pertaining to large earthquakes typically reveal the occurrence of elastic deformations caused by the earthquake along with several complex surface displacements.
Satoshi Fujiwara   +2 more
doaj   +1 more source

ALOS-1 and Sentinel-1 InSAR time-series for Galápagos volcanoes, Ecuador

open access: yes, 2019
This repository contains the supporting data for Yunjun et al., 2019, Computers and Geosciences. It includes two InSAR time-series datasets from ALOS-1 and Sentinel-1 satellite acquired over Galápagos volcanoes, Ecuador.
Yunjun, Zhang   +5 more
core   +1 more source

Multi-Sensor InSAR Analysis of Progressive Land Subsidence over the Coastal City of Urayasu, Japan

open access: yesRemote Sensing, 2018
In earthquake-prone areas, identifying patterns of ground deformation is important before they become latent risk factors. As one of the severely damaged areas due to the 2011 Tohoku earthquake in Japan, Urayasu City in Chiba Prefecture has been ...
Yusupujiang Aimaiti   +2 more
doaj   +1 more source

Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM)

open access: yesApplied Sciences, 2023
Geomorphological surveys and terrain analysis are essential for geomorphology, hydrology, and geographic information systems (GIS). Terrain characterization parameters are fundamental for comprehending geomorphological processes, delineating landforms ...
Ya Wei   +4 more
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

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