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Yuchen Wang
School of Management Science and Engineering, Xuzhou University of Technology, Xuzhou 221018, China

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Journal article
Published: 25 August 2020 in Remote Sensing
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Global Navigation Satellite Systems (GNSS) tomography plays an important role in the monitoring and tracking of the tropospheric water vapor. In this study, a new approach for improving the node-based GNSS tomography is proposed, which makes a trade-off between the real observed region and the complexity of the discretization of the tomographic region. To obtain dynamically the approximate observed region, the convex hull algorithm and minimum bounding box algorithm are used at each tomographic epoch. This new approach can dynamically define the tomographic model for all types of study areas based on the GNSS data. The performance of the new approach is tested by comparing it against the common node-based GNSS tomographic approach. Test data in May 2015 are obtained from the Hong Kong GNSS network to build the tomographic models and the radiosonde data as a reference are used for validating the quality of the new approach. The experimental results show that the root-mean-square errors of the new approach, in most cases, have a 38 percent improvement and the values of standard deviation reduce to over 43 percent compared with the common approach. The results indicate that the new approach is applicable to the node-based GNSS tomography.

ACS Style

Nan Ding; Xiangrong Yan; Shubi Zhang; Suqin Wu; XiaoMing Wang; Yu Zhang; Yuchen Wang; Xin Liu; Wenyuan Zhang; Lucas Holden; Kefei Zhang. Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm. Remote Sensing 2020, 12, 2744 .

AMA Style

Nan Ding, Xiangrong Yan, Shubi Zhang, Suqin Wu, XiaoMing Wang, Yu Zhang, Yuchen Wang, Xin Liu, Wenyuan Zhang, Lucas Holden, Kefei Zhang. Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm. Remote Sensing. 2020; 12 (17):2744.

Chicago/Turabian Style

Nan Ding; Xiangrong Yan; Shubi Zhang; Suqin Wu; XiaoMing Wang; Yu Zhang; Yuchen Wang; Xin Liu; Wenyuan Zhang; Lucas Holden; Kefei Zhang. 2020. "Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm." Remote Sensing 12, no. 17: 2744.

Journal article
Published: 13 February 2020 in Remote Sensing
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Global Navigation Satellite System (GNSS) tomography is a popular method for measuring and modelling water vapor in the troposphere. Presently, most studies use a cuboid-shaped tomographic region in their modelling, which represents the modelling region for all measurement epochs. This region is defined by the distribution of the GNSS signals skywards from a network of ground based GNSS stations for all epochs of measurements. However, in reality at each epoch the shape of the GNSS tomographic region is more likely to be an inverted cone. Unfortunately, this fixed conic tomographic region does not properly reflect the fact that the GNSS signal changes quickly over time. Therefore a dynamic or adaptive tomographic region is better suited. In this study, a new approach that adjusts the GNSS tomographic model to adapt the size of the GNSS network is proposed, which referred to as The High Flexibility GNSS Tomography (HFGT). Test data from different numbers of the GNSS stations are used and the results from HFGT are compared against that of radiosonde data (RS) to assess the accuracy of the HFGT approach. The results showed that the new approach is feasible for different numbers of the GNSS stations when a sufficient and uniformed distribution of GNSS signals is used. This is a novel approach for GNSS tomography.

ACS Style

Yuchen Wang; Nan Ding; Yu Zhang; Long Li; Xiaoyan Yang; Qingzhi Zhao. A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network. Remote Sensing 2020, 12, 617 .

AMA Style

Yuchen Wang, Nan Ding, Yu Zhang, Long Li, Xiaoyan Yang, Qingzhi Zhao. A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network. Remote Sensing. 2020; 12 (4):617.

Chicago/Turabian Style

Yuchen Wang; Nan Ding; Yu Zhang; Long Li; Xiaoyan Yang; Qingzhi Zhao. 2020. "A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network." Remote Sensing 12, no. 4: 617.

Journal article
Published: 10 February 2020 in Remote Sensing
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As an important energy absorption process in the Earth’s surface energy balance, evapotranspiration (ET) from vegetation and bare soil plays an important role in regulating the environmental temperatures. However, little research has been done to explore the cooling effect of ET on the urban heat island (UHI) due to the lack of appropriate remote-sensing-based estimation models for complex urban surface. Here, we apply the modified remote sensing Penman–Monteith (RS-PM) model (also known as the urban RS-PM model), which has provided a new regional ET estimation method with the better accuracy for the urban complex underlying surface. Focusing on the city of Xuzhou in China, ET and land surface temperature (LST) were inversed by using 10 Landsat 8 images during 2014–2018. The impact of ET on LST was then analyzed and quantified through statistical and spatial analyses. The results indicate that: (1) The alleviating effect of ET on the UHI was stronger during the warmest months of the year (May–October) but not during the colder months (November–March); (2) ET had the most significant alleviating effect on the UHI effect in those regions with the highest ET intensities; and (3) in regions with high ET intensities and their surrounding areas (within a radius of 150 m), variation in ET was a key factor for UHI regulation; a 10 W·m−2 increase in ET equated to 0.56 K decrease in LST. These findings provide a new perspective for the improvement of urban thermal comfort, which can be applied to urban management, planning, and natural design.

ACS Style

Yuchen Wang; Yu Zhang; Nan Ding; Kai Qin; Xiaoyan Yang. Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China. Remote Sensing 2020, 12, 578 .

AMA Style

Yuchen Wang, Yu Zhang, Nan Ding, Kai Qin, Xiaoyan Yang. Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China. Remote Sensing. 2020; 12 (3):578.

Chicago/Turabian Style

Yuchen Wang; Yu Zhang; Nan Ding; Kai Qin; Xiaoyan Yang. 2020. "Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China." Remote Sensing 12, no. 3: 578.

Journal article
Published: 07 October 2017 in Remote Sensing
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To date, little attention has been given to remote sensing-based algorithms for inferring urban surface evapotranspiration. A multi-source parallel model based on ASTER data was one of the first examples, but its accuracy can be improved. We therefore present a modified multi-source parallel model in this study, which has made improvements in parameterization and model accuracy. The new features of our modified model are: (1) a characterization of spectrally heterogeneous urban impervious surfaces using two endmembers (high- and low-albedo urban impervious surface), instead of a single endmember, in linear spectral mixture analysis; (2) inclusion of an algorithm for deriving roughness length for each land surface component in order to better approximate to the actual land surface characteristic; and (3) a novel algorithm for calculating the component net radiant flux with a full consideration of the fraction and the characteristics of each land surface component. HJ-1 and ASTER data from the Chinese city of Hefei were used to test our model’s result with the China–ASEAN ET product. The sensitivity of the model to vegetation and soil fractions was analyzed and the applicability of the model was tested in another built-up area in the central Chinese city of Wuhan. We conclude that our modified model outperforms the initial multi-source parallel model in accuracy. It can obtain the highest accuracy when applied to vegetation-dominated (vegetation proportion > 50%) areas. Sensitivity analysis shows that vegetation and soil fractions are two important parameters that can affect the ET estimation. Our model is applicable to estimate evapotranspiration in other urban areas.

ACS Style

Yu Zhang; Long Li; Longqian Chen; Zhihong Liao; Yuchen Wang; Bingyi Wang; Xiaoyan Yang. A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data. Remote Sensing 2017, 9, 1029 .

AMA Style

Yu Zhang, Long Li, Longqian Chen, Zhihong Liao, Yuchen Wang, Bingyi Wang, Xiaoyan Yang. A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data. Remote Sensing. 2017; 9 (10):1029.

Chicago/Turabian Style

Yu Zhang; Long Li; Longqian Chen; Zhihong Liao; Yuchen Wang; Bingyi Wang; Xiaoyan Yang. 2017. "A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data." Remote Sensing 9, no. 10: 1029.

Journal article
Published: 20 August 2015 in Remote Sensing
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This paper presents a new assessment method for alleviating urban heat island (UHI) effects by using an urban land surface moisture (ULSM) index. With the aid of Landsat 8 OLI/TIRS data, the land surface temperature (LST) was retrieved by a mono-window algorithm, and ULSM was extracted by tasselled cap transformation. Polynomial regression and buffer analysis were used to analyze the effects of ULSM on the LST, and the alleviation effect of ULSM was compared with three vegetation indices, GVI, SAVI, and FVC, by using the methods of grey relational analysis and Taylor skill calculation. The results indicate that when the ULSM value is greater than the value of an extreme point, the LST declines with the increasing ULSM value. Areas with a high ULSM value have an obvious reducing effect on the temperature of their surrounding areas within 150 m. Grey relational degrees and Taylor skill scores between ULSM and the LST are 0.8765 and 0.9378, respectively, which are higher than the results for the three vegetation indices GVI, SAVI, and FVC. The reducing effect of the ULSM index on environmental temperatures is significant, and ULSM can be considered to be a new and more effective index to estimate UHI alleviation effects for urban areas.

ACS Style

Yu Zhang; Longqian Chen; Yuchen Wang; Longgao Chen; Fei Yao; Peiyao Wu; Bingyi Wang; Yuanyuan Li; Tianjian Zhou; Ting Zhang. Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing 2015, 7, 10737 -10762.

AMA Style

Yu Zhang, Longqian Chen, Yuchen Wang, Longgao Chen, Fei Yao, Peiyao Wu, Bingyi Wang, Yuanyuan Li, Tianjian Zhou, Ting Zhang. Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data. Remote Sensing. 2015; 7 (8):10737-10762.

Chicago/Turabian Style

Yu Zhang; Longqian Chen; Yuchen Wang; Longgao Chen; Fei Yao; Peiyao Wu; Bingyi Wang; Yuanyuan Li; Tianjian Zhou; Ting Zhang. 2015. "Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data." Remote Sensing 7, no. 8: 10737-10762.