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Xiaoyan Yang
Researcher at Jiangsu Normal University
Publications - 17
Citations - 196
Xiaoyan Yang is an academic researcher from Jiangsu Normal University. The author has contributed to research in topics: Evapotranspiration & Land-use planning. The author has an hindex of 8, co-authored 12 publications receiving 121 citations. Previous affiliations of Xiaoyan Yang include China University of Mining and Technology.
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Journal ArticleDOI
Land-Use Carbon Emissions Estimation for the Yangtze River Delta Urban Agglomeration Using 1994–2016 Landsat Image Data
Yifan Cui,Long Li,Longqian Chen,Yu Zhang,Yu Zhang,Liang Cheng,Liang Cheng,Xisheng Zhou,Xiaoyan Yang,Xiaoyan Yang +9 more
TL;DR: This study estimated the land-use carbon emissions and carbon intensities of the Yangtze River Delta Urban Agglomeration (YRDUA)—which consists of 26 eastern Chinese cities—from Landsat image data and socio-economic statistics in 1995, 2005, and 2015 and can provide useful insights into the assignment of carbon reduction tasks within the YRDUA.
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Impact assessment of land use planning driving forces on environment
TL;DR: In this article, the authors investigated environmental driving forces from land use planning (LUPF), along with the conception, components, scope, and impact of LUPF, and concluded that the impacts originated from the implementation of land use on a regional environment, which are characterized by four aspects: magnitude, direction, action point, and its owner.
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Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China
TL;DR: A rule-based classification based on multi-seasonal imagery in Lianyungang City, a coastal city in China, provides a guidance to improve accuracy for coastal areas with distinct LULC temporal spectral features.
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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
TL;DR: The modified remote sensing Penman–Monteith (RS-PM) model is applied, which has provided a new regional ET estimation method with the better accuracy for the urban complex underlying surface, and provides a new perspective for the improvement of urban thermal comfort.
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A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data
Yu Zhang,Long Li,Longqian Chen,Zhihong Liao,Yuchen Wang,Bingyi Wang,Xiaoyan Yang,Xiaoyan Yang +7 more
TL;DR: A modified multi-source parallel model based on ASTER data, which has made improvements in parameterization and model accuracy, is presented, which can obtain the highest accuracy when applied to vegetation-dominated areas.