Teng Fei

Teng Fei
Wuhan University | WHU · School of Resources and Environmental Science

PhD

About

71
Publications
28,914
Reads
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1,013
Citations
Introduction
Additional affiliations
September 2019 - September 2020
University of Illinois, Urbana-Champaign
Position
  • Visiting Scholar
October 2010 - present
Wuhan University
Position
  • Professor (Associate)

Publications

Publications (71)
Article
Full-text available
Objective To explore the associations between dietary tastes and chronic diseases quantitatively. Design We used the Geodetector method to establish associations between seven tastes and a variety of chronic diseases from the perspective of spatial stratified heterogeneity and explained the effects of dietary tastes on the spatial distribution of...
Article
Human emotion is an intrinsic psychological state that is influenced by human thoughts and behaviours. Human emotion distribution has been regarded as an important part of emotional geography research. However, it is difficult to form a global scaled map reflecting human emotions at the same sampling density because various emotional sampling data...
Article
Various fields have widely used place emotion extracted from social networking sites (SNS) information in recent years. However, the emotional information may contain biases as users are a particular subset of the whole population. This research studies whether there are significant differences between place emotion extracted from SNS and the place...
Article
In contrast to daytime remote sensing used for observing the Earth, night-time light remote sensing with satellites primarily assesses human activity using urban parameters such as building lights or lighted highways to help determine population density and other habitation characteristics. One limitation to conventional night-time remote sensing i...
Article
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A sustainable city relies on renewable energy, which promotes the development of electric vehicles. To support electric vehicles, the concept of charging vehicles while driving has been put forward. Under such circumstances, constructing solar panels on urban roads is an innovative option with great benefits, and the accurate calculation of road ph...
Article
Heavy metal pollution in farmland harms the environment and poses a potential risk to human health. Visible and near-infrared reflectance (VNIR) spectroscopy is a promising tool for estimating heavy metal concentrations in plants. Integer-order derivatives (including the first and second) are commonly used to pre-process VNIR data and successfully...
Article
The effective modeling of urban growth is crucial for urban planning and analyzing the causes of land-use dynamics. As urbanization has slowed down in most megacities, improved urban growth modeling with minor changes has become a crucial open issue for these cities. Most existing models are based on stationary factors and spatial proximity, which...
Article
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Small water bodies ranging in size from 1 to 50,000 m2, are numerous, widely distributed, and have various functions in water storage, agriculture, and fisheries. Small water bodies used for agriculture and fisheries are economically significant in China, hence it is important to properly identify and analyze them. In remote sensing technology, wat...
Article
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Background: Sichuan Province, in the interior of Southwest China, is the most severe HIV-affected area in China. Few data are currently available for people living with HIV/AIDS (PLWH) with virological failure of antiretroviral therapy (ART). Estimating the HIV-1 drug-resistant spread influencing factors and transmission patterns of the HIV-1 epid...
Article
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Background Spatialized HIV genetic transmission networks can help understand dynamic changes of HIV-1 at the regional level. This study aimed to combine genomic, epidemiological, and spatial data to investigate the patterns of the HIV-1 epidemic at both individual and regional levels among people living with HIV (PLWH) with virological failure of a...
Article
Solar roads are roads embedded with solar panels which can converting solar energy radiated on the road into storable electricity. Over the recent years, pioneering solar road prototypes were tested in different regions around the world. Driven by demand, road photovoltaic production calculation, based on street view images (SVI) has been proposed...
Article
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The danwei is a distinctive spatial unit in China, as a legacy of the Maoist era. In a danwei, state-owned enterprises supplied a full set of facilities, such that people’s daily activities did not often extend beyond their danweis. However, with the rapid alteration of civic social space in Chinese cities, many employees are no longer tied to a pa...
Article
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Abstract To control and prevent the risk of diabetes, diabetes studies have identified the need to better understand and evaluate the associations between influencing indicators and the prevalence of diabetes. One constraint has been that influencing indicators have been selected mainly based on subjective judgment and tested using traditional stat...
Article
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As one of the essential indicators for the development of a city, urban vibrancy plays an important role in evaluating the quality of urban areas and guiding urban construction. The development of spatial big data makes it possible to obtain information on user trajectories and the built environment, providing support for the evaluation of urban vi...
Preprint
Full-text available
As subjective artistic creations, artistic paintings carry emotion of their creators. Emotions expressed in paintings and emotion aroused in spectators by paintings are two kinds of emotions that scholars have paid attention to. Traditional studies on emotions expressed by paintings are mainly conducted from qualitative perspectives, with neither q...
Article
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Background: Hepatitis B (HB) is the most serious and common viral hepatitis in China. Previous studies on HB discrimination mainly have focussed on stratified analysis, and there has been no consideration of the impact of geographical-environmental factors on HB discrimination from a spatial perspective. Objective: This study conducted a large nati...
Article
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Environmental and socioeconomic characteristics of places continuously influence human emotions. To understand the quality of human life, human emotions must be effectively evaluated and their connections with socioeconomic characteristics must be determined. Social computing tools can extract emotional information from massive user‐generated conte...
Article
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Small water bodies have always been an important part of water ecology systems. In the past, due to the limitations of satellite spatial resolution and recognition method precision, there have been few satisfactory remote sensing small water bodies extraction methods. In this article, a method based on index composition and HSI (hue, saturation, an...
Article
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Visible and near-infrared reflectance (VIS-NIR) spectroscopy is widely applied to estimate soil organic carbon (SOC). Intense and diverse human activities increase the heterogeneity in the relationships between SOC and VIS-NIR spectra in anthropogenic soil. This fact results in poor performance of SOC estimation models. To improve model accuracy an...
Article
Full-text available
Various fields have widely used place emotion extracted from social networking sites (SNS) information in recent years. However, the emotional information may contain biases as users are a particular subset of the whole population. This research studies whether there are significant differences between place emotion extracted from SNS and the place...
Article
Full-text available
The lack of an active neighbourhood living environment can impact community health to a great extent. One such impact manifests in walkability, a measure of urban design in connecting places and facilitating physical activity. Although a low level of walkability is generally considered to be a risk factor for childhood obesity, this association has...
Article
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Measuring the semantic similarity between words is important for natural language processing tasks. The traditional models of semantic similarity perform well in most cases, but when dealing with words that involve geographical context, spatial semantics of implied spatial information are rarely preserved. Geographic information retrieval (GIR) met...
Article
Neither Cadmium (Cd) nor lead (Pb) is necessary for crop growth, and they both cause severe soil pollution in many developing countries. A cross‐stress experiment was designed to investigate the feasibility of diagnosing the type and the level of Cd‐Pb cross stress by observing rice canopy hyperspectral images. Two‐way analysis of variance (ANOVA2)...
Article
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As an important factor for neighbourhood walkability, the speed limit in the neighbourhood may influence children's physical activity (PA) outdoors, especially active transport, and further their weight status. This review aimed to systematically evaluate the association between neighbourhood speed limit and obesity‐related behaviours and outcomes...
Article
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Accurate detection of cadmium (Cd) and lead (Pb)-induced cross-stress on crops is essential for agricultural, ecological environment, and food security. The feasibility to diagnose and predict Cd–Pb cross-stress in agricultural soil was explored by measuring the visible and near-infrared reflectance of rice leaves. In this study, two models were de...
Conference Paper
Location-based social networks (LBSNs) enable individuals to connect tighter through users' interdependency (e.g. friendship, common interests and shared knowledge) which derived from their physical locations and geo-tagged social media content. Nowadays, the development of mobile augmented reality (MAR) technology can enhance people's perception a...
Article
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This paper proposed an optimal spectral resolution for diagnosing cadmium-lead (Cd-Pb) cross contamination with different pollution levels based on the hyperspectral reflectance of rice canopy. Feature bands were sequentially selected by two-way analysis of variance (ANOVA2) and random forests from the high-dimensional hyperspectral data after prep...
Article
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慢性病是全球最主要的死亡原因,在所有慢性病风险因素中,不健康饮食因素居于首位,也是影响最广泛的风险因素。尽管已有许多关于饮食行为的研究,但在饮食口味与慢性病关联方面尚缺乏定量研究。鉴于此,利用众源网络菜谱数据,提取菜系中多维口味信息,结合不同地区分类的餐饮类兴趣地点(POI)数据,定量分析不同地区人群口味偏好;使用地理探测器方法,从空间分异性角度建立7种口味与出血性卒中、胰腺癌、上呼吸道感染3种慢性病的关联,得到饮食口味对慢性病空间分布的解释能力度量值。结果表明:在7种口味中,过咸是出血性卒中的首要口味风险因子;一定程度的甜是胰腺癌的首要口味风险因子,且甜的程度与胰腺癌风险并非呈简单线性关系;过辛是上呼吸道感染的首要口味风险因子,三者在统计上均表现显著。本文首次提出了基于众源数据挖掘的潜在健...
Article
Regionalization attempts to group units into a few subsets to partition the entire area. The results represent the underlying spatial structure and facilitate decision-making. Massive amounts of trajectories produced in the urban space provide a new opportunity for regionalization from human mobility. This paper proposes and applies a novel regiona...
Article
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Given the abundant quantities of big spatiotemporal geographic data that are available, interactions among spatial entities can now be extracted from various perspectives. This research investigates the spatial interactions within the metropolis of Beijing quantitatively. Two methods of quantifying the interactions are proposed. These interactions...
Preprint
Full-text available
The emergence of big data enables us to evaluate the various human emotions at places from a statistic perspective by applying affective computing. In this study, a novel framework for extracting human emotions from large-scale georeferenced photos at different places is proposed. After the construction of places based on spatial clustering of user...
Article
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In constructing models for predicting soil organic matter (SOM) by using visible and near-infrared (vis–NIR) spectroscopy, the selection of representative calibration samples is decisive. Few researchers have studied the inclusion of spectral pretreatments in the sample selection strategy. We collected 108 soil samples and applied six commonly used...
Article
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This paper introduces a method of creating electronic map system based on virtual reality technology. This method explores the combination of VR and electronic map, which could be compatible with current huge amount of geographic information data. The system allows users to immerse in a map system with both macro and micro experience. In order to c...
Article
A neighbourhood is a shared space for spatial interaction. The vibrancy of a neighbourhood represents a synergy between the people, activities and values in a place, which increases community vitality and spurs economic opportunity. It can be investigated both qualitatively and quantitatively. However, there are technical challenges involved in acc...
Conference Paper
The objective of this study was to explore the feasibility for rapid diagnosis of heavy metal Pb and Cd cross contamination in agricultural soil with hyperspectral image of rice plants. Several data pretreatment methods were applied to improve the diagnosis accuracy. The best diagnosis accuracy of SVM model were all above 75% for any none, low, med...
Article
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The advanced technologies in location-based services and telecom have yield large volumes of trajectory data. Understanding these data effectively requires intuitive yet accurate visual analysis. The visual analysis of massive trajectory data is challenged by the numerous interactions among different locations, which cause massive clutter. This pap...
Article
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It is generally feasible to classify different species of vegetation based on remotely sensed images, but identification of different sub-species or even cultivars is uncommon. Tea trees ( Camellia sinensis L.) have been proven to show great differences in taste and quality between cultivars. We hypothesize that hyperspectral remote sensing would m...
Article
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We examined whether emotion expressed by users in social media can be influenced by stock market index or can predict the fluctuation of the stock market index. We collected the emotion data by using face detection technology and emotion cognition services for photos uploaded to Flickr. Each face’s emotion was described in 8 dimensions the location...
Article
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This study investigated the abilities of pre-processing, feature selection and machine-learning methods for the spectroscopic diagnosis of soil arsenic contamination. The spectral data were pre-processed by using Savitzky-Golay smoothing, first and second derivatives, multiplicative scatter correction, standard normal variate, and mean centering. P...
Article
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Visible and near infrared (VIS-NIR) spectroscopy has been applied to estimate soil organic carbon (SOC) content with many modeling strategies and techniques, in which a crucial and challenging problem is to obtain accurate estimations using a limited number of samples with reference values (labeled samples). To solve such a challenging problem, thi...
Article
Full-text available
Soil organic carbon (SOC) is an essential property for soil function, fertility and sustainability of agricultural systems. It can be measured with visible and near-infrared reflectance (VIS-NIR) spectroscopy efficiently based on empirical equations and spectra data for air/oven-dried samples. However, the spectral signal is interfered with by soil...
Article
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Suspended particulate matter (SPM) is a dominant water constituent of case-II waters, and SPM concentration (CSPM) is a key parameter describing water quality. This study, using Landsat 8 Operational Land Imager (OLI) images, aimed to develop the CSPM retrieval models and further to estimate the CSPM values of Dongting Lake. One Landsat 8 OLI image...
Article
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The transferability of a visible and near-infrared (VNIR) model for soil organic matter (SOM) estimation in riparian landscapes is explored. The results indicate that for the soil samples with air-drying, grinding and 2-mm sieving pretreatment, the model calibrated from the soil sample set with mixed land-use types can be applied in the SOM predict...
Article
The objective of this study was to explore the feasibility and to investigate the mechanism for rapidly monitoring the arsenic (As) contamination in agricultural soils with the reflectance spectra of rice plants. Several data pre-treatment methods were applied to improve the prediction accuracy. The prediction of soil As contents was achieved by pa...
Article
Visible/near-infrared (Vis/NIR) spectroscopy has been proven to be an effective technique for soil total nitrogen (TN) content estimation in the laboratory conditions. However, the transferability of this technique from laboratory study to field application is complicated by soil moisture effects. This study aims to compare the performance of four...
Conference Paper
Full-text available
Statistical analyses of the relationship between visible and near-infrared (VNIR) spectra and soil parameters usually require the normal distribution of wavelength variables. Most previous studies examined only the distribution of soil parameters, while the distribution of each VNIR spectra wavelength was ignored. Moreover, how the sample preparati...
Article
It is challenging to develop Landsat-5 TM (TM5) image-based retrieval models for estimating the suspended particulate matter concentration (CSPM) in water when missing coincident ground CSPM measurements. This study, with the Poyang Lake in China as a case study, proposed an approach for developing TM5-based CSPM retrieval models with the assistanc...
Article
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Nitrogen, phosphorus, and potassium are some of the most important biochemical components of plant organic matter, and hence, estimation of their contents can help monitor the metabolism processes and health of plants. This study, conducted in the Yixing region of China, aimed to compare partial least squares regression (PLSR) and support vector ma...
Article
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Some biochemical compounds are closely related with the quality of tea (Camellia sinensis (L.)). In this study, the concentration of these compounds including total tea polyphenols, free amino acids and soluble sugars were estimated using reflectance spectroscopy at three different levels: powder, leaf and canopy, with partial least squares regress...
Article
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The quality of certain plants is considered to be a key factor affecting the food habitat or migration of some herbivorous species, and, thus, to estimate the spatial and temporal variation of plant quality is crucial for understanding the grazing and migrating behaviours of these herbivores. This study aimed to explore the possibilities of estimat...
Article
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This study applied Moderate-Resolution Imaging Spectroradiometer (MODIS) images from 2000 to 2010 to obtain and analyze the spatiotemporal variation of suspended sediment concentration (SSC) and discussed factors affecting it in Poyang Lake, China. Results showed that (1) the mean SSC was lower in the south, higher in the north, and moderate in the...
Article
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Obtaining and analyzing the specific inherent optical properties (SIOPs) of water bodies is necessary for bio-optical model development and remote sensing-based water quality retrievals and, further, for related ecological studies of aquatic ecosystems. This study aimed to measure and analyze the specific absorption and backscattering coefficients...