Results 51 to 60 of about 9,456 (253)

Investigation of the electrical resistivity structure of the subsurface at Mogod valley in central Mongolia: Insight is using 1D Magnetotelluric inversion

Mongolian Geoscientist, 2022
In this paper, we report a preliminary result of the Magnetotelluric investigation of the Mogod area. The Mogod region is one of the most prominent fields for geophysical study since the region includes young and active faults and geothermal activities ...
Bayartogtokh Enkhzul, Erdenechimeg Batmagnai, Shoovdor Tserendug, Gendenpuntsag Bayanjargal   +3 more
doaj   +1 more source

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source

Dark Heritage Prospection ‐ Mapping the Treblinka II Extermination Camp Using a Magnetometer Survey and Integrated Archival Sources

Archaeological Prospection, EarlyView.
ABSTRACT The history of Nazi German extermination camps has, until recently, relied primarily on eyewitness testimony. Very few official documents detailing the facilities survived the war due to the special operation ‘Sonderaktion 1005’, dedicated to hiding their existence and extent.
Sebastian Różycki, Michał Pisz, Paweł Bylina, James Walker, Lucy Benoit   +4 more
wiley   +1 more source

Pre-stack seismic inversion based on model-constrained generative adversarial network

Frontiers in Earth Science
Pre-stack seismic inversion usually uses various traditional algorithms to estimate elastic parameters such as P-wave velocity, S-wave velocity, and density.
Guangzhi Zhang, Guangzhi Zhang, Guangzhi Zhang, Sirui Song, Sirui Song, Sirui Song, Haihang Zhang, Dekuan Chang, Dekuan Chang   +8 more
doaj   +1 more source

Archaeological Prospectivity and Terrace Morphometry Using Open Geospatial Data: A Reproducible GIS–Machine‐Learning Workflow for the Cuyes River Valley, Ecuador

Archaeological Prospection, EarlyView.
ABSTRACT This study develops and evaluates a reproducible archaeological prospectivity workflow for data‐scarce tropical landscapes by integrating restricted legacy archaeological documentation with openly accessible environmental geospatial datasets.
Julio Guerra, Israel Benavides, Marcelo Muñoz   +2 more
wiley   +1 more source

On SAR wind speed ambiguities and related geophysical model functions

Canadian Journal of Remote Sensing, 2009
Recent investigations show that normalized radar cross sections for C-band microwave sensors decrease under high wind conditions with certain incident angles instead of increase, as is the case for low to moderate wind speeds. This creates the problem of ambiguities in high wind speed retrievals from synthetic aperture radar (SAR). In the present work,
Hui Shen, William Perrie, Yijun He
openaire   +1 more source

Climate Risk and Real Estate Markets in the EU: Institutional Control Through Regulation

Business Strategy and the Environment, EarlyView.
ABSTRACT Climate change is increasingly reshaping the economic foundations of asset markets, yet its implications for the estate sector remain unevenly understood, particularly when institutional and financial mechanisms mediate risk transmission. While a growing body of evidence links climate vulnerability to property valuation and market behaviour ...
Qiulin Yang, Xin Xu, Kingsley Imandojemu, Felix Orole, Romanus Osabohien   +4 more
wiley   +1 more source

Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems

Entropy, 2018
Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because the sampling of the data space is scarce and ...
José L. G. Pallero, María Zulima Fernández-Muñiz, Ana Cernea, Óscar Álvarez-Machancoses, Luis Mariano Pedruelo-González, Sylvain Bonvalot, Juan Luis Fernández-Martínez   +6 more
doaj   +1 more source

3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning

Vadose Zone Journal, 2020
Soil organic C (SOC) and soil moisture (SM) affect the agricultural productivity of soils. For sustainable food production, knowledge of the horizontal as well as vertical variability of SOC and SM at field scale is crucial. Machine learning models using
Tobias Rentschler, Ulrike Werban, Mario Ahner, Thorsten Behrens, Philipp Gries, Thomas Scholten, Sandra Teuber, Karsten Schmidt   +7 more
doaj   +1 more source

Does ESG Uncertainty Matter for Renewable and Nonrenewable Energy Consumption? Policy Implications in the Context of SDG 7 and SDG 13

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In the discourse on environmental sustainability and energy security, energy management is an inevitable policy issue that requires research‐based solutions. Based on this, the present study contributes by examining the impact of environmental, social, and governance (ESG) uncertainty on energy consumption patterns in the USA from 2002 to 2024.
Naif Alsagr, Qasim Raza Syed, Ahsan Anwar   +2 more
wiley   +1 more source