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Multispectral discrimination of spectrally similar hydrothermal minerals in mafic crust: A 5000 km2 ASTER alteration map of the Oman–UAE ophiolite Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-17 Thomas M. Belgrano, Larryn W. Diamond, Nevena Novakovic, Robert D. Hewson, Christoph A. Hecker, Robin C. Wolf, Ludwik de Doliwa Zieliński, Raphael Kuhn, Samuel A. Gilgen
Multispectral remote sensing of hydrothermal alteration in volcanogenic massive sulfide (VMS) ore systems in mafic crust is relatively uncommon, in part due to the short-wave infrared spectral similarity of several key alteration minerals: epidote, chlorite, actinolite, and serpentine. In this study, we developed regional mosaic generation and classification workflows for Advanced Spaceborne Thermal
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Combining molecular simulation and experiment to prove micropore distribution controls methane adsorption in kerogens Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-17 Wei Li, Lee A. Stevens, Bo Zhang, Dingye Zheng, Colin E. Snape
Combining molecular simulation and experimental results provides a more detailed understanding of gas sorption in kerogens than either approach in isolation. Porosity and chemical functionality are the main differences between kerogens affecting the methane adsorption, whereas which one is the key control has not been stated clearly. Molecular dynamic (MD) simulations with matrix and slit pore models
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Micro- to nano-scale areal heterogeneity in pore structure and mineral compositions of a sub-decimeter-sized Eagle Ford Shale Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-17 Qiming Wang, Qinhong Hu, Chen Zhao, Xiaoguang Yang, Tao Zhang, Jan Ilavsky, Ivan Kuzmenko, Binyu Ma, Yukio Tachi
Mineral and organic matter compositions & pore structures of fine-grained shale influence reservoir properties. To improve the understanding of spatial heterogeneity in core-sized samples, methods of microscale X-ray fluorescence (μXRF) mapping, (ultra-) small-angle x-ray scattering [(U)SAXS] and wide-angle X-ray scattering (WAXS) have been used to determine elemental, pore-structure variations at
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Sentinel-1 interferometric coherence as a vegetation index for agriculture Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-16 Arturo Villarroya-Carpio, Juan M. Lopez-Sanchez, Marcus E. Engdahl
In this study, the use of Sentinel-1 interferometric coherence data as a tool for crop monitoring has been explored. For this purpose, time series of images acquired by Sentinel-1 and 2 spanning 2017 have been analysed. The study site is an agricultural area in Sevilla, Spain, where 16 different crop species were cultivated during that year. The time series of 6-day repeat-pass coherence measured at
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Estimating rockfall and block volume scenarios based on a straightforward rockfall frequency model Eng. Geol. (IF 6.902) Pub Date : 2022-08-16 Christine Moos, Zeno Bontognali, Luuk Dorren, Michel Jaboyedoff, Didier Hantz
Rockfall causes a large number of accidents and fatalities in steep environments. A realistic quantification of rockfall risk is thus crucial for an effective prevention of damages and loss of lives. The estimation of rockfall and block volumes for different return periods thereby remains a major challenge. In this paper, we present a straightforward rockfall frequency model (RFM: Rockfall Frequency
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Seismic response of landslides to natural and man-induced ground vibrations: Evidence from the Petacciato coastal slope (central Italy) Eng. Geol. (IF 6.902) Pub Date : 2022-08-15 M. Fiorucci, S. Martino, M. Della Seta, L. Lenti, A. Mancini
This study focuses on the vibrational response of a landslide mass to natural and man-induced vibrations. The landslide is located in the Molise region (Italy) and involves a coastal slope extending approximately 5 km2, from the Petacciato village to the coastline. Landslide activity, well documented since 1909 with historical reactivation resulting in severe damage to infrastructure and the ancient
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A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-13 Yu Bai, Tianjie Zhao, Li Jia, Michael H. Cosh, Jiancheng Shi, Zhiqing Peng, Xiaojun Li, Jean-Pierre Wigneron
Passive microwave remote sensing of soil moisture is an underdetermined problem, as observed microwave emission from the landscape is affected by a variety of unknown surface parameters. Increasing observation information is an effective means to make retrievals more robust. In this study, a multi-temporal and multi-angular (MTMA) approach is proposed using SMOS (Soil Moisture and Ocean Salinity) satellite
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Characterizing mechanical heterogeneity of coal at nano-to-micro scale using combined nanoindentation and FESEM-EDS Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-10 Ang Liu, Shimin Liu, Yiwei Liu, Bangzhi Liu, Ting Liu
The variations of mechanical properties of coals in nano-to-micro scale play vital roles in defining the coal deformative and failure behaviors with a wide range of engineering applications, including coal stimulation for gas recovery and/or CO2 sequestration in coal seams. Based on the assumption that the heterogeneity in the mechanical properties of coals is combinedly determined by the mineralogical/carbon
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Description and prediction of stress-strain curve of loess Eng. Geol. (IF 6.902) Pub Date : 2022-08-13 Liqin Wang, Kaiyu Li, Zheng Wang, Lun Li
The accurate description of the stress-strain relationships of rock and soil is very important to analyze its mechanical properties, but the forms of stress-strain curves are different, which can be softening, hardening, or ideal elastoplastic. With the change of confining pressure, they can be transformed into each other. Taking one of loess as the research object, consolidated drained triaxial tests
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Aspects of rare earth element geochemistry of the Pond Creek coalbed, Pike County, Kentucky Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-13 James C. Hower, Cortland F. Eble, Shelley D. Hopps, Tonya D. Morgan
The chemistry of rare earth elements (REE) and selected critical elements was examined in the high volatile A bituminous Pond Creek coal in Pike County, Kentucky. The Pond Creek coal has been one of the most important coal resources in eastern Kentucky but, up to now, no modern methods, such as Inductively coupled plasma – mass spectroscopy (ICP-MS) have been applied to the characterization of the
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Impact of thermal maturity on the diagenesis and porosity of lacustrine oil-prone shales: Insights from natural shale samples with thermal maturation in the oil generation window Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-11 Bo Liu, Yi Wang, Shansi Tian, Yuanling Guo, Liu Wang, Qamar Yasin, Jianguo Yang
Shale diagenesis controls the generation, migration and accumulation of hydrocarbons through time and has become a frontier area of study in the fields of sedimentology and petroleum geology. There have been only a few studies on the generation of organic pores in lacustrine shale oil reservoirs during the oil generation thermal evolution stage. In this study, lacustrine organic-rich shale samples
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Oil migration, retention, and differential accumulation in “sandwiched” lacustrine shale oil systems from the Chang 7 member of the Upper Triassic Yanchang Formation, Ordos Basin, China Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-10 Qiulei Guo, Yue Yao, Lianhua Hou, Shuheng Tang, Songqi Pan, Feng Yang
To extract hydrocarbons from unconventional shale systems, it is necessary to assess oil retention and accumulation. This study presents experimental findings on oil retention, migration, and accumulation in a lacustrine shale system from the Chang 7 member of the Upper Triassic Yanchang Formation, Ordos Basin. 68 core samples were collected from the target layer to investigate the migration behavior
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Shear rate effect on the residual strength of saturated clayey and granular soils under low- to high-rate continuous shearing Eng. Geol. (IF 6.902) Pub Date : 2022-08-08 Haibo Miao, Gonghui Wang
The residual strength of sliding basal soils plays a pivotal role not only in the movement of bedding landslides controlled by clay-rich interlayers but also in remobilized granular deposits. Many studies have focused on better understanding the residual shear behaviors of clayey and granular soils under relatively low shear rates. However, the residual strength varies with various clay fractions for
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Assessment and characterization of sources of error impacting the accuracy of global burned area products Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-12 Magí Franquesa, Stephen V. Stehman, Emilio Chuvieco
Understanding the sources of error that affect the accuracy of current coarse burned area products is crucial to identifying weaknesses and limitations of burned area (BA) algorithms. In this paper, we propose methods to analyse sources of errors of global BA products, which are applied to assess a widely used product, (FireCCI51), created under the ESA climate change initiative programme. The effect
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Laminar and turbulent groundwater flows in confined two- and three-dimensional discrete fracture networks Eng. Geol. (IF 6.902) Pub Date : 2022-08-11 Hong Fang, Jianting Zhu, Jinrong Qiu, Yaoming Su, Di Xia
Using laminar or turbulent flow equations indiscriminately to describe groundwater flows in fracture networks may result in large errors. We propose a new method for simulating steady-state groundwater flows in two- and three-dimensional fracture networks by separating laminar flows and turbulent flows in individual fractures. Poiseuille's law is employed when the flow is laminar, while Swamee and
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Effect of thermal ageing on physical properties of MX80 bentonite under high-temperature conditions Eng. Geol. (IF 6.902) Pub Date : 2022-08-08 Zhaotian Zeng, Jiesheng Shao, De’an Sun, Haibo Lyu, Yunshan Xu, Chenlin Yang
In a deep geological repository (DGR) system, the buffer layer is indispensable to ensuring the safe disposal of high-level radioactive nuclear waste (HLW). Because the heat generated by the decay of the spent nuclear fuel in a canister is released to the surrounding buffer layers, the bentonite buffer material experiences long-term high-temperature conditions. Therefore, the variations in physical
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Correcting laser scanning intensity recorded in a cave environment for high-resolution lithological mapping: A case study of the Gouffre Georges, France Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-10 Michaela Nováková, Michal Gallay, Jozef Šupinský, Eric Ferré, Riccardo Asti, Michel de Saint Blanquat, Flora Bajolet, Patrick Sorriaux
Active remote sensing by laser scanning (LiDAR) has markedly improved the mapping of a cave environment with an unprecedented level of accuracy and spatial detail. However, the use of laser intensity simultaneously recorded during the scanning of caves remains unexplored despite it having promising potential for lithological mapping as it has been demonstrated by many applications in open-sky conditions
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Corroborative insights into genetically related kerogen, asphaltenes and hydrocarbons using free and bound biomarkers Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-11 Shengyu Yang, Brian Horsfield, Kai Mangelsdorf, Joachim Rinna, Alexander Hartwig, Rolando di Primio, Antonio Martín-Monge, Rafael Antonio Tocco, Rouven Elias
Unlike the free biomarkers, which can be routinely recovered via solvent extraction, the bound biomarkers are covalently linked to the kerogen or asphaltene macrostructures and are more resistant to secondary alteration processes. Although similarities have been identified between these two types of biomarkers using different techniques, it remains unclear how the kerogen- and asphaltene-bound biomarkers
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Development of a slope digital twin for predicting temporal variation of rainfall-induced slope instability using past slope performance records and monitoring data Eng. Geol. (IF 6.902) Pub Date : 2022-08-10 Xin Liu, Yu Wang, Raymond C.H. Koo, Julian S.H. Kwan
A slope digital twin is a virtual slope model that is able to continuously, even in real-time, learn from actual observations (e.g., monitoring data, slope performance records, and site investigation data) obtained from its physical counterpart to enhance the performance of the slope model. This study proposes a practical framework to develop a slope digital twin and describes its application to predict
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Record of Middle Jurassic wildfire and its incidental mercury emissions in northern Qaidam Basin, China: Evidence from the inertinite and mercury anomalies in coal Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-11 Wenquan Xie, Jingqiang Tan, Wenhui Wang, Jianliang Jia, Zhaojun Liu, Jian Wu, Yong Wang, Xueqi Song
Inertinite in coals contains important information regarding the palaeo-wildfire history and can provide insights into its triggers and relationship with the evolution of local ecosystems. However, such information in the Middle Jurassic coal is often overlooked, and the impacts of incidental mercury emission from wildfires on the mercury enrichment in coal are also underestimation. In this study,
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FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 Zhongyang Hu, Peter Kuipers Munneke, Stef Lhermitte, Mariel Dirscherl, Chaonan Ji, Michiel van den Broeke
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A novel semianalytical remote sensing retrieval strategy and algorithm for particulate organic carbon in inland waters based on biogeochemical-optical mechanisms Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-10 Zhilong Zhao, Xiaolan Cai, Changchun Huang, Kun Shi, Jianhong Li, Jiale Jin, Hao Yang, Tao Huang
The estimation of particulate organic carbon (POC) concentrations from satellite images can provide crucial spatiotemporal continuous observation data for the carbon cycle and ecological environmental governance. Here, we developed a novel inversion algorithm for deriving POC in inland water based on remote sensing and geochemical isotopes, which is summarized as follows. First, we developed empirical
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TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 Jilin Yang, Xiangming Xiao, Russell Doughty, Miaomiao Zhao, Yao Zhang, Philipp Köhler, Xiaocui Wu, Christian Frankenberg, Jinwei Dong
Large-scale land surface phenology (LSP) information has been developed from remote sensing-based vegetation indices (VIs) data. However, there are considerable discrepancies and uncertainties in the LSP data products for the start and end of growing seasons (SOS; EOS) as different vegetation indices and algorithms are used. Here, we used the TROPOspheric Monitoring Instrument (TROPOMI) solar-induced
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Limit equilibrium method-based 3D slope stability analysis for wide area considering influence of rainfall Eng. Geol. (IF 6.902) Pub Date : 2022-08-10 Kenta Tozato, Nilo Lemuel J. Dolojan, Yoshiya Touge, Shuichi Kure, Shuji Moriguchi, Seiki Kawagoe, So Kazama, Kenjiro Terada
We propose a method for evaluating the risks of slope failure induced by heavy rain over a wide area by combining infiltration analysis, surface flow analysis, and slope stability analysis based on three-dimensional limit equilibrium method. The influence of the resolution of terrain data is also examined. To determine rainfall-induced water transportation, we employ an infiltration analysis, using
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Effects of material migration on the spatial distribution of topsoil moisture at the slope scale Eng. Geol. (IF 6.902) Pub Date : 2022-08-05 Zonglin Zhang, Runqiang Zeng, Xingmin Meng, Shufen Zhao, Jianhua Ma, Hong Wang, Xiangpei Meng, Hailong Yin, Yunqi Yao, Weiwei Guo, Dengju Xie, Bin He
Soil moisture is strongly spatially variable and scale dependent, but there is a lack of research focusing on factors that link soil actual evaporation to the spatial distribution of topsoil moisture at the slope scale. External factors (e.g., meteorological) have similar effects across entire slopes; hence, this paper instead explores the internal factors controlling differential soil actual evaporation
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Experimental research on progressive failure characteristics of water-immersed coal: Implications for hydraulic fracturing Eng. Geol. (IF 6.902) Pub Date : 2022-08-06 Qianting Hu, Yuebing Zhang, Quangui Li, Jie Cao, Mingyang Song, Liangping Hu, Jichuan Liu, Yize Deng, Jialin Shi, Xuewen Zheng
Coal rock water immersion softening is common in coal geology, and it is of great significance to effectively control and utilize the process of water immersion softening and fracturing of coal. In this paper, the progressive failure and softening characteristics of coal samples under localized or full water immersion conditions were determined based on the stress-strain and acoustic emission (AE)
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Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-08 V.S. Martins, D.P. Roy, H. Huang, L. Boschetti, H.K. Zhang, L. Yan
High spatial resolution commercial satellite data provide new opportunities for terrestrial monitoring. The recent availability of near-daily 3 m observations provided by the PlanetScope constellation enables mapping of small and spatially fragmented burns that are not detected at coarser spatial resolution. This study demonstrates, for the first time, the potential for automated PlanetScope 3 m burned
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Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Manuel Campos-Taberner, Francisco Javier García-Haro, Jordi Muñoz-Marí, Steven W. Running, John Kimball, Nicholas Clinton, Gustau Camps-Valls
The estimation of biophysical variables is at the core of remote sensing science, allowing a close monitoring of crops and forests. Deriving temporally resolved and spatially explicit maps of parameters of interest has been the subject of intense research. However, deriving products from optical sensors is typically hampered by cloud contamination and the trade-off between spatial and temporal resolutions
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An artificial intelligence approach to remotely assess pale lichen biomass Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 Rasmus Erlandsson, Jarle W. Bjerke, Eirik A. Finne, Ranga B. Myneni, Shilong Piao, Xuhui Wang, Tarmo Virtanen, Aleksi Räsänen, Timo Kumpula, Tiina H.M. Kolari, Teemu Tahvanainen, Hans Tømmervik
Although generally given little attention in vegetation studies, ground-dwelling (terricolous) lichens are major contributors to overall carbon and nitrogen cycling, albedo, biodiversity and biomass in many high-latitude ecosystems. Changes in biomass of mat-forming pale lichens have the potential to affect vegetation, fauna, climate and human activities including reindeer husbandry. Lichens have a
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A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 R. Scodellaro, I. Cesana, L. D'Alfonso, M. Bouzin, M. Collini, G. Chirico, R. Colombo, F. Miglietta, M. Celesti, D. Schuettemeyer, S. Cogliati, L. Sironi
The emission of solar-induced chlorophyll fluorescence (F) is a pivotal process to infer vegetation health and functioning that can be monitored by remote sensing. However, most of the current remote sensing methods retrieve only F at top-of-canopy level, therefore making the link with physiological processes occurring at photosystem level not trivial. In this study, we develop a novel machine learning
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A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-09 Ronglin Tang, Zhao-Liang Li, Meng Liu, Yazhen Jiang, Zhong Peng
Evapotranspiration (ET) is a primary process for water and heat transfer between the land and atmosphere. The spatial contextual information-based surface temperature versus vegetation index triangle (temperature-based triangle) is one of the most famous and widely applied methods for regional ET estimation from remotely sensed data. However, the determination of temporally variable satellite scene-specific
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Vulnerability assessment for buildings exposed to torrential hazards at Sichuan-Tibet transportation corridor Eng. Geol. (IF 6.902) Pub Date : 2022-08-09 Yu Lei, Haihua Gu, Peng Cui
The construction and operation of the Sichuan-Tibet railway require constructing extensive supporting facilities along its route. Sichuan-Tibet transportation corridor features high mountains and deep valleys where land resources suitable for such purposes are very limited. As a result, safe utilization of the torrential fan along the railway becomes essential. Focus on buildings at the torrential
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Use of hyperspectral sounders to retrieve daytime sea-surface temperature from mid-infrared radiances: Application to IASI Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-08 V. Capelle, J.-M. Hartmann
We propose a physically-based methodology for sea-surface skin-temperature (SST) retrievals from daytime spectra recorded by the hyperspectral Infrared Atmospheric Sounding Interferometer (IASI). The approach, which takes sun light into account, minimizes the differences between measured and computed radiances at numerous points within two windows centered near 3.7 and 4.0 μm. We demonstrate that,
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Kinematic-based landslide risk management for the Sichuan-Tibet Grid Interconnection Project (STGIP) in China Eng. Geol. (IF 6.902) Pub Date : 2022-08-08 Hengxing Lan, Naiman Tian, Langping Li, Yuming Wu, Renato Macciotta, John J. Clague
Landslides are major threats to the construction and operation of electric towers of the Sichuan–Tibet Grid Interconnection Project (STGIP). The long, narrow project corridor is vulnerable to different types of landslides, making risk management a difficult task. In this study, a kinematic-based, landslide risk management framework that includes hazard analysis, risk estimation, risk evaluation, and
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Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-05 Benjamin Brede, Louise Terryn, Nicolas Barbier, Harm M. Bartholomeus, Renée Bartolo, Kim Calders, Géraldine Derroire, Sruthi M. Krishna Moorthy, Alvaro Lau, Shaun R. Levick, Pasi Raumonen, Hans Verbeeck, Di Wang, Tim Whiteside, Jens van der Zee, Martin Herold
Calibration and validation of aboveground biomass (AGB) (AGB) products retrieved from satellite-borne sensors require accurate AGB estimates across hectare scales (1 to 100 ha). Recent studies recommend making use of non-destructive terrestrial laser scanning (TLS) based techniques for individual tree AGB estimation that provide unbiased AGB predictors. However, applying these techniques across large
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Analytical and numerical models of debris flow impact Eng. Geol. (IF 6.902) Pub Date : 2022-08-06 Sabatino Cuomo, Angela Di Perna, Mario Martinelli
A full understanding of the interaction mechanisms among flow-like landslides and impacted protection structures is still an open issue. Although several approaches, from experimental to numerical, have been used so far, a thoroughly assessment of the hydromechanical behaviour of the landslide body is achievable only through a multiphase and large deformation approach. This paper firstly proposes a
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A 2D hybrid NMM-UPM method for waterflooding processes modelling considering reservoir fracturing Eng. Geol. (IF 6.902) Pub Date : 2022-08-06 Hao Sun, Feng Xiong, Wei Wei
This study presents a methodology to integrate two simulation codes, i.e., cohesive element-based numerical manifold method (Co-NMM) and unified pipe network method (UPM), for 2D coupled two-phase seepage-stress analysis of waterflooding processes in fractured rock masses. The Co-NMM is an extension of the numerical manifold method (NMM) and designed for efficiently addressing continuity-discontinuity
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Evolved magmatic arcs of South Borneo: insights into Cretaceous slab subduction Gondwana Res. (IF 6.151) Pub Date : 2022-08-04 B. Batara, Changhai Xu
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On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-03 Lin Qi, Menghua Wang, Chuanmin Hu, Benjamin Holt
Various types of floating macroalgae and other floating matters have been reported in the global oceans and inland waters, and their remote detection has relied primarily on passive optical sensors. These sensors provide multiple spectral bands and frequent revisits, yet they all suffer from clouds. Synthetic aperture radar (SAR) imagers are active sensors that overcome this obstacle, yet their capacity
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Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-05 Andrey Pleskachevsky, Björn Tings, Stefan Wiehle, James Imber, Sven Jacobsen
This paper introduces a method for estimating a series of sea state parameters from satellite-borne synthetic aperture radar (SAR). The method was realized in a near real time (NRT) application which allows for the processing of data from different satellites and modes. The algorithm estimates the total significant wave height Hs, dominant and secondary swell and windsea wave heights, first, and second
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Mechanical behavior and microstructural evolution of frozen soils under the combination of confining pressure and water content Eng. Geol. (IF 6.902) Pub Date : 2022-08-05 Zhizhong Sun, Shujuan Zhang, Yapeng Wang, Ruiqiang Bai, Shuangyang Li
It is essential and important for engineering design and maintenance to systematically investigate the physical–mechanical properties of frozen soils. At present, a series of tests have been carried out on frozen silty clay based on improved testing techniques. The results indicate that brittle and plastic failures occur for frozen silty clay under low and high confining pressures, respectively, and
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Evaluation of the scale of fluctuation based on variance reduction method Eng. Geol. (IF 6.902) Pub Date : 2022-08-04 Suozhu Fei, Xiaohui Tan, Xin Lin, Ying Xiao, Fusheng Zha, Long Xu
Many uncertainties exist in geotechnical engineering. Spatial variability is a type of uncertainty that has received more and more attention in recent years. Scale of fluctuation (SOF) is a parameter for measuring the spatial variability of soil properties. To investigate the proper method for computing the SOF of soil properties, two types of methods (auto-correlation function method (ACM), and variance
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Rockburst tendency prediction based on an integrating method of combination weighting and matter-element extension theory: A case study in the Bayu Tunnel of the Sichuan-Tibet Railway Eng. Geol. (IF 6.902) Pub Date : 2022-07-31 Shaojun Li, Zhihao Kuang, Yaxun Xiao, Zhibin Qiao, Wenbin Yang
The Bayu Tunnel is the most problematic tunnel project in the Lhasa-Nyingchi section of the Sichuan-Tibet Railway. Rockbursts have occurred frequently during the construction process, which has seriously threatened the safety of construction workers and equipment. Aiming at the rockburst hazard prediction problem of the Bayu Tunnel, in this paper an integrating method of combination weighting and matter-element
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Characterization of high and steep slopes and 3D rockfall statistical kinematic analysis for Kangyuqu area, China Eng. Geol. (IF 6.902) Pub Date : 2022-08-05 Wen Zhang, Xiaohan Zhao, Xiaojuan Pan, Ming Wei, Jianhua Yan, Jianping Chen
In the mountainous areas passed by the Sichuan–Tibet Railway, rockfall is one of the important geological hazards with characteristics of unpredictable and sudden occurrences. For high and steep slopes, this study employs nap-of-the-object photogrammetry with the characteristic of close flight distance to reconstruct a 3D geological model, which is clear and qualified for discontinuity identification
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Disentangling error structures of precipitation datasets using decision trees Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-02 Xinxin Sui, Zhi Li, Guoqiang Tang, Zong-Liang Yang, Dev Niyogi
Characterizing error structures in precipitation products not only facilitates their proper applications for scientific and practical purposes but also helps improve their retrieval algorithms and processing methods. Despite the fact that multiple precipitation products have been assessed in the literature, factors that affect their error structures remain inadequately addressed. By interpreting 60
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A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-04 Davoud Ashourloo, Hamed Nematollahi, Alfredo Huete, Hossein Aghighi, Mohsen Azadbakht, Hamid Salehi Shahrabi, Salman Goodarzdashti
In recent years, various techniques have been developed to generate crop-type maps based on remote sensing data. Wheat and barley are two major cereal crops cultivated as the first and fourth largest grain crops across the globe. The variations in spectral temporal profile of both crops are generally insignificant at small scales and therefore the two crops are phenologically fairly clearly separated;
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Confidence intervals for proportion of area estimated from a stratified random sample Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-04 Stephen V. Stehman, Dingfan Xing
Estimating proportion of area from a stratified random sample and reference class labels obtained by ground visit or interpretation of satellite imagery is a common strategy in land cover monitoring. Confidence intervals for the proportion of area are typically estimated using the Wald interval, a procedure that is known to yield less than nominal coverage (i.e., undercoverage) when the proportion
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Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-04 Sebastian Hafner, Yifang Ban, Andrea Nascetti
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban development. Earth Observation (EO) is a valuable data source to cover this demand. In particular, Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral Instrument (MSI) missions offer new opportunities to map built-up areas on a global scale. Using Sentinel-2 images, recent urban mapping efforts
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-04 Katja Berger, Miriam Machwitz, Marlena Kycko, Shawn C. Kefauver, Shari Van Wittenberghe, Max Gerhards, Jochem Verrelst, Clement Atzberger, Christiaan van der Tol, Alexander Damm, Uwe Rascher, Ittai Herrmann, Veronica Sobejano Paz, Sven Fahrner, Roland Pieruschka, Egor Prikaziuk, Ma. Luisa Buchaillot, Andrej Halabuk, Martin Schlerf
Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview of the main spectral technologies and retrieval approaches for detecting crop stress
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Polarimetric decomposition of microwave-band freshwater ice SAR data: Review, analysis, and future directions Remote Sens. Environ. (IF 13.85) Pub Date : 2022-08-04 Jake E. Ferguson, Grant E. Gunn
The availability and quality of quad-pol synthetic aperture radar (SAR) datasets has increased substantially since the early 2000s, allowing for polarimetrically complete investigations of freshwater ice. These investigations have lead to improved ice classification methods, new understanding of microwave-ice scattering processes, and the potential for new methods to extract ice observables. Such analyses
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Investigating fault zone hydraulic properties and groundwater potential in a fault-dominated aquifer system: A case study of the Dili fault in Central Taiwan Eng. Geol. (IF 6.902) Pub Date : 2022-08-04 Shih-Meng Hsu, Chien-Chung Ke, Ming-Chia Dong, Yen-Tsu Lin
Discovering groundwater resources in a fault-controlled aquifer system appears to be a viable solution to water scarcity in the mountainous areas of Taiwan. Regoliths, fractured bedrock, and faults commonly exist in such aquifer systems. To investigate the groundwater behavior in the three subsurface media, a 3-D hybrid model (equivalent porous media/discrete fracture network) involving various in
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Spatial and temporal distribution of landslide-dammed lakes in Purlung Tsangpo Eng. Geol. (IF 6.902) Pub Date : 2022-08-04 Hao Wang, Peng Cui, Liqin Zhou, Weiming Liu, Anna Yang, Shunyu Yao, Zhenni Jiang
Reconstructing the ages and magnitudes of prehistoric extreme events that are recorded in landforms and sediments allows us to capture the full range of frequency-magnitudes and estimate the expected time for the repetition of a catastrophic event. The Eastern Himalayan Syntaxis and its surrounding areas are highly prone to the occurrence of river blocking. Previous studies have re-established three
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Three-dimensional stress rotation and control mechanism of deep tunneling incorporating generalized Zhang–Zhu strength-based forward analysis Eng. Geol. (IF 6.902) Pub Date : 2022-08-04 Wuqiang Cai, Hehua Zhu, Wenhao Liang
Deep rock tunneling exhibits a significant three-dimensional (3D) space effect. The complex stress path and extrusion deformation during excavation are the most significant and decisive factors in the stability and construction safety of a deep tunnel. 3D and forward numerical analyses based on generalized Zhang–Zhu (GZZ) strength criterion are performed to investigate the principal stress rotation
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Long-term Phanerozoic global mean sea level: Insights from strontium isotope variations and estimates of continental glaciation Gondwana Res. (IF 6.151) Pub Date : 2022-08-04 Douwe G. van der Meer, Christopher R. Scotese, Benjamin J.W. Mills, Appy Sluijs, Aart-Peter van den Berg van Saparoea, Ruben M.B. van de Weg
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Pollution free UV-C radiation to mitigate COVID-19 transmission Gondwana Res. (IF 6.151) Pub Date : 2022-08-02 Ashutosh Kumar, Abhishek Raj, Ankit Gupta, Sneha Gautam, Manish Kumar, Hemant Bherwani, Avneesh Anshul
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Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization Gondwana Res. (IF 6.151) Pub Date : 2022-08-02 Deliang Sun, Qingyu Gu, Haijia Wen, Jiahui Xu, Yalan Zhang, Shuxian Shi, Mengmeng Xue, Xinzhi Zhou
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Comparison of trend models for geotechnical spatial variability: Sparse Bayesian Learning vs. Gaussian Process Regression Gondwana Res. (IF 6.151) Pub Date : 2022-08-02 Jianye Ching, Ikumasa Yoshida, Kok-Kwang Phoon
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Graptolite reflectance anomaly Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-03 Xiaowei Zheng, Niels H. Schovsbo, Qingyong Luo, Jia Wu, Ningning Zhong, Fariborz Goodarzi, Hamed Sanei
Thermal maturation is traditionally evaluated based on vitrinite reflectance (VRo) measurements and its relationship to oil and gas generation and diagenetic transformation are ingrained in many basin modeling tools. However, vitrinite derives from higher land plants that evolved in Devonian. In pre-Devonian rocks graptolite reflectance (GR) is the most significant thermal index for establishing thermal
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Facies development of coal seams in the Knurów deposit (Upper Silesia, Poland) Int. J. Coal Geol. (IF 6.3) Pub Date : 2022-08-03 Piotr Sosnowski, Iwona Jelonek
This paper presents the first attempt to develop the facies model of the entire coal deposit belonging to the Carboniferous productive sequence located in the western part of the Upper Silesian Coal Basin. To achieve this objective, six seams from the Knurów deposit were examined. The deposit belongs to the largest producer of coking coal in Europe, which is Jastrzębska Spółka Węglowa SA (Polish state-run
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How does green technology innovation affect green growth in ASEAN-6 countries? Evidence from advance panel estimations Gondwana Res. (IF 6.151) Pub Date : 2022-08-03 Norazah Mohd Suki, Norbayah Mohd Suki, Sahar Afshan, Arshian Sharif, Mohd Ariff Kasim, Siti Rosmaini Mohd Hanafi