A5100729107- Remote Sensing in Agriculture
- Arctic and Antarctic ice dynamics
- Remote-Sensing Image Classification
- Climate change and permafrost
- Cryospheric studies and observations
- Remote Sensing and Land Use
- Resilience and Mental Health
- Grit, Self-Efficacy, and Motivation
- Soil Geostatistics and Mapping
- Global Education and Multiculturalism
- Educator Training and Historical Pedagogy
- Remote Sensing and LiDAR Applications
- Geography Education and Pedagogy
- Seismic Imaging and Inversion Techniques
- COVID-19 epidemiological studies
- Seismic Waves and Analysis
- Health disparities and outcomes
- Hydrology and Sediment Transport Processes
- Data Management and Algorithms
- Climate Change and Health Impacts
- Automated Road and Building Extraction
- Gambling Behavior and Treatments
- SARS-CoV-2 and COVID-19 Research
- Substance Abuse Treatment and Outcomes
- Impact of Technology on Adolescents
Koç University
2023
Missouri State University
2008-2021
Mammoth Biosciences (United States)
2020
Guangzhou University
2017
The University of Texas at San Antonio
2013-2016
GGG (France)
2016
East China Normal University
2016
To investigate the online activities, prevalence of Internet Addiction in relation to demographic characteristics and risk factors related family school among adolescents.A total 6468 10-18 year old adolescents recruited from local schools Guangzhou, China were selected by adopting multi-stage stratified random sampling (female/male: 2886/3582; mean age:13.78 ± 2.43). Participants completed a structured questionnaire.The overall was 26.50%, with severe addiction being 0.96%. higher males...
A change detection experiment for an invasive species, saltcedar, near Lovelock, Nevada, was conducted with multidate Compact Airborne Spectrographic Imager (CASI) hyperspectral datasets. Classification and NDVI differencing methods were tested. In the classification strategy, a principal component analysis (PCA) performed on single‐date CASI imagery separately in visible bands NIR bands. Then first five PCs from used to classify six eight cover types maximum likelihood classifier. complete...
The decision tree method has grown fast in the past two decades and its performance classification is promising. tree-based ensemble algorithms have been used to improve of an individual tree. In this study, we compared four basic methods, that is, bagging tree, random forest, AdaBoost terms size, band selection (BS), feature selection, accuracy efficiency ecological zone Clark County, Nevada, through multi-temporal multi-source remote-sensing data. Furthermore, BS schemes based on...
Sinkhole detection in karst areas is usually difficult through remote sensing image interpretation. We present an efficient approach to extract mature sinkholes from lidar DEM. First, adaptive Wiener filter (AWF) and hierarchical watershed segmentation (HWs) are applied identify all local depression or potential sinkholes. Second, a hole-filling algorithm the sinkholes, nine spatial features extracted. Finally, random forest classifier used select true Our results show that this for...
Purpose This study aims to provide a comprehensive understanding of the multidimensional health status elderly individuals with chronic diseases in China and examine its impact on their healthcare consumption behavior. Methods A chi-square test was conducted assess variations behavior across different categories. Additionally, logistic regression model employed identify key determinants influencing among from perspective. Results The results indicated statistically significant association...
Coronavirus disease 2019 (COVID-19) was first identified in December Wuhan, China as an infectious disease, and has quickly resulted ongoing pandemic. A data-driven approach developed to estimate medical resource deficiencies due burdens at county level during the COVID-19 The study duration mainly from February 15, 2020 May 1, U.S. Multiple data sources were used extract local population, hospital beds, critical care staff, confirmed case numbers, hospitalization level. We estimated average...
Grit, a non-cognitive skill that indicates perseverance and passion for long-term goals, has been shown to predict academic achievement. This paper provides evidence grit also predicts student outcomes during the challenging period of Covid-19 pandemic. We use unique behavioral dataset from digital learning platform in United Arab Emirates construct new measure grit. find controlling baseline ability, students who were grittier according this before pandemic, register lower declines math...
Based on remote sensing and GIS, this study models the spatial variations of urban growth patterns with a logistic geographically weighted regression (GWR) technique. Through case Springfield, Missouri, research employs both global local to model probability land expansion against set socioeconomic variables. The GWR significantly improves in three ways: (1) has higher PCP (percentage correctly predicted) than model; (2) smaller residual (3) residuals have less dependence. More importantly,...
A map showing various urban features, such as buildings, roads, and vegetation, is useful for a variety of planning applications. The objective this study was to incorporate road parcel GIS data well relevant expert knowledge classify different land covers from 1-meter, 4-band NAIP images. Based on hybrid simultaneous-classification one-by-one-classification approach, total 14 classes are classified. classification has an overall accuracy 90%, demonstrating noticeable improvement over past...
<title>Abstract</title> Grit, a non-cognitive skill that indicates perseverance and passion for long-term goals, has been shown to predict academic achievement. This paper provides evidence grit also predicts student outcomes during the challenging period of Covid-19 pandemic. We use unique dataset from digital learning platform in United Arab Emirates construct behavioral measure grit. find controlling baseline ability, students who were grittier according this before pandemic, register...
We evaluated the performance of airborne HyperSpecTIR (HST) images for detecting and classifying invasive riparian vegetation saltcedar along Muddy River in Clark County, Nevada. image reflectance spectra (227 bands, 450–2450 nm) were acquired following four covers: saltcedar, native honey mesquite, grassland patches crops. compared five feature reduction approaches: band selection based on Jeffreys–Matusita distance, principal component analysis (PCA), minimum noise fraction (MNF),...
High-spatial-resolution aerial photographs can provide detailed distribution of sea ice features. However, very few studies have ever considered shadows on the for detection. In this letter, shadows, retrieved from 163 selected acquired July 26, 2010, in a marginal-ice-zone area near Barrow, Alaska, utilizing an object-based classification scheme, are used to estimate ridge attributes through local solar illumination geometry. The photograph-averaged frequency (354.6-8908.7 km <sup...
As a fundamental climate state variable, sea ice thickness (SIT) has exhibited declining trend over the past five decades. Here, we present quantitative comparison of three CryoSat-2 (CS-2) SIT products from Alfred-Wegener-Institute (AWI), National Snow and Ice Data Centre (NSIDC), European Space Agency (ESA) during growth season (October to April) 2010 2018 with Operation IceBridge (OIB) data. The results show that NSIDC product is closest OIB SIT, ESA exhibiting highest bias. During each...
We compared two basic ensemble methods, namely random forest and Adaboost tree for the classification of ecosystems in Clark County, Nevada, USA through multitemporal multisource LANDSAT TM/ETM+ images terrain-related GIS data layers. Random generates decision trees by randomly selecting a limited number features from all available node splitting, each cast vote final decision. On other hand, is an iterative approach to improve performance weak classifier assigning weights training samples,...
The use of Rayleigh waves to invert for a near surface shear wave velocity model is attractive in converted processing, such as the application receiver side statics correction and PS PSDM. We propose differential evolution inversion scheme dispersion curves, we apply it on field dataset with high density acquisition obtain underlying structure. joint new misfit function, which allows multimodal reduces risk mode misinterpretations, combined highly likely converge real shallow A...
Summary Surface-wave inversion (SWI) for S-wave velocity plays an important role in near surface characterization and PS-wave model building depth migration. The requires dispersion curves picked from the spectrum of waves. Robust f-k spectral analysis is achieved by superposition surface-wave spectra, with a careful balance struck between larger transform apertures that provide higher resolution, smaller spatial resolution. A hybrid cost function used to reduce non-linearity multi-modal...
In an effort to map water table levels in irrigated high mountain meadow, we explored the potential of spectral reflectance meadow surface covers. Multispectral data acquired from earth observing-1 (EO-1) advanced land imager (ALI) and Landsat enhanced thematic mapper plus (ETM+) with similar band specifications same spatial resolution 30 m were tested. Preliminary regression analysis reveals that blue, red, near-infrared bands all correlate strongly levels. The visible have negative...
Abstract A data-driven approach is developed to estimate medical resource deficiencies or burden at county level during the COVID-19 pandemic from February 15, 2020 May 1, in U.S. Multiple data sources were used extract local population, hospital beds, critical care staff, confirmed case numbers, and hospitalization level. We average length of stay state level, calculate hospitalized rate both Then we develop two deficiency indices that measure based on number accumulated active cases...
Sea ice acts as both an indicator and amplifier of climate change. High spatial resolution (HSR) imagery is important data source in Arctic sea research for extracting physical parameters, calibrating/validating models. HSR images are difficult to process manage due their large volume, heterogeneous sources, complex spatiotemporal distributions. In this paper, Cyberinfrastructure (ArcCI) module developed that allows a reliable efficient on-demand image batch processing on the web. For...