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Spatiotemporal Evolution of Urban Expansion Using Landsat Time Series Data and Assessment of Its Influences on Forests

Zhang, Du, Mao, Zhou, Li, Dong, Zheng, Zhu, Liu, Huang, He
2020 ISPRS International Journal of Geo-Information  
The focus of this study is on monitoring the characteristics of urban expansion in Hang-Jia-Hu and evaluating its influences on forests by applying 30-m multispectral Landsat data and a machine learning  ...  Analysis of urban land use dynamics is essential for assessing ecosystem functionalities and climate change impacts.  ...  Acknowledgments: The authors would like to thank anonymous reviewers for their helpful comments and suggestions. Conflicts of Interest: The authors declare no conflict of interest. References  ... 
doi:10.3390/ijgi9020064 fatcat:lymfvnef3vf6bdc5o2lqzyoazm

Mapping urban sprawl and impervious surfaces in the northeast United States for the past four decades

Nathan Torbick, Megan Corbiere
2015 GIScience & Remote Sensing  
Mapping urban expansion and impervious surfaces (IS) has become a useful tool for supporting watershed assessments.  ...  The lack of large-area time-series maps created the need to develop an approach and products that can easily be scaled.  ...  Disclosure statement No potential conflict of interest was reported by the authors.  ... 
doi:10.1080/15481603.2015.1076561 fatcat:hxofw7eiyrgnpnrws2uu5f7voi

Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data

Maochou Liu, Shuguang Liu, Ying Ning, Yu Zhu, Rubén Valbuena, Rui Guo, Yuanyuan Li, Wenxi Tang, Dengkui Mo, Isabel M.D. Rosa, Mykola Kutia, Wenmin Hu
2020 Remote Sensing  
We used the Continuous Change Detection and Classification (CCDC) algorithm to integrate all available Landsat 5, 7, and 8 images and map annual land use and land cover (LULC) from 2001 to 2017 in the  ...  The unfolding of the "cool center and hot edge" urban growth pattern in CZTUA, characterized by higher expansion rates in the peripheral than in the core cities, may signify a new form of the co-evolution  ...  It has been the testbed for coordinated urban agglomeration development theories. Changsha City, Zhuzhou City, and Xiangtan City are the core cities of the CZTUA.  ... 
doi:10.3390/rs12182905 fatcat:qp5okpncirgdbb3mrfczr6t23i

Landsat-Based Monitoring of the Heat Effects of Urbanization Directions and Types in Hangzhou City from 2000 to 2020

Lin Chen, Bin Zhou, Weidong Man, Mingyue Liu
2021 Remote Sensing  
Based on long-term Landsat imagery, this study characterized the spatiotemporal patterns of urban expansion and normalized surface temperatures in Hangzhou City from 2000 to 2020 using object-based backdating  ...  Rapid urbanization has produced serious heat effects worldwide. However, the literature lacks a detailed study on heat effects based on the directions and types of urban expansion.  ...  5 February 2021) for providing land use maps of 2020 and geographic information data, respectively.  ... 
doi:10.3390/rs13214268 fatcat:rt7aqmwt7jevfem3xkwebqocnu

Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China

Wei Sun, Jie Shan, Zhiming Wang, Lei Wang, Dianmei Lu, Zhifeng Jin, Kun Yu
2020 Complexity  
Then, these images were overlain with economic and physical geographical data to analyze the urban spatial expansion pattern and its physical constraints and socioeconomic influence factors by employing  ...  Land use in the Yangtze River Delta in 2000 and 2017 was classified by the visual interpretation of Landsat satellite images.  ...  Since the 1970s, the United States began to use long time series remote sensing data from Landsat to investigate the patterns and driving forces of urban land cover expansion and landscape metrics to predict  ... 
doi:10.1155/2020/3239471 fatcat:m5w2jgjpwndwritxwihgp5koyu

Exploring the Variation Trend of Urban Expansion, Land Surface Temperature, and Ecological Quality and Their Interrelationships in Guangzhou, China, from 1987 to 2019

Jianhui Xu, Yi Zhao, Caige Sun, Hanbin Liang, Ji Yang, Kaiwen Zhong, Yong Li, Xulong Liu
2021 Remote Sensing  
The interrelationships between these parameters in Guangzhou from 1987 to 2019 were analyzed using time-series Landsat-5 TM (Thematic Mapper), Landsat-8 OLI (Operational Land Imager), and TIRS (Thermal  ...  The urban IS densities were calculated in concentric rings using time-series IS fractions, which were used to construct an inverse S-shaped urban IS density function to depict changes in urban form and  ...  The authors acknowledge the USGS-NASA, due to freely accessible Landsat-5 TM and Landsat-8 data from 1987 to 2019.  ... 
doi:10.3390/rs13051019 fatcat:4l2cnsqt7fblnlhqmzdxpkppkq

Spatial Interconnections of Land Surface Temperatures with Land Cover/Use: A Case Study of Tokyo

Fei Liu, Hao Hou, Yuji Murayama
2021 Remote Sensing  
As one of the most populated metropolitan areas in the world, the Tokyo Metropolitan Area (TMA) has experienced severe climatic modifications and pressure due to densified human activities and urban expansion  ...  To this end, the thermal gradients between the urban and non-urban fabric areas in TMA were examined by joint analysis of land cover/use and LST.  ...  Considering the availability and comparability of data, time-series Landsat data in the same season (autumn in this study) or within three-month intervals were given priority.  ... 
doi:10.3390/rs13040610 fatcat:xurssyb6gfd2lbjsnrqthhjupe

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Dandan Liu, Nengcheng Chen
2017 Remote Sensing  
This paper analyzed the spatiotemporal patterns of urbanization in the MYRB using multi-temporal remote sensing data circa 2000, 2008 and 2016 integrated with geographic information system (GIS) techniques  ...  Detailed studies on the spatiotemporal patterns of urban agglomeration in the Middle Yangtze River Basin (MYRB) are rare.  ...  Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.3390/rs9111086 fatcat:ypmcsgnpq5eibpakzbyzzin6pq

Spatio-Temporal Variation Analysis of Landscape Pattern Response to Land Use Change from 1985 to 2015 in Xuzhou City, China

Yantao Xi, Nguyen Thinh, Cheng Li
2018 Sustainability  
Thus, timely monitoring and quantitative analysis of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential.  ...  The NDEUI-assisted random forests algorithm was implemented to obtain the land use/land cover maps of Xuzhou in 1985, 1995, 2005, and 2015, respectively.  ...  Acknowledgments: We would like to express our respect and gratitude to the anonymous reviewers and editors for their professional comments and suggestions on improving the quality of this paper.  ... 
doi:10.3390/su10114287 fatcat:offkyarltvfwjl5cfbf4qjbraq

Spatiotemporal Characteristics of Urban Surface Temperature and Its Relationship with Landscape Metrics and Vegetation Cover in Rapid Urbanization Region

Hongbo Zhao, Juntao Tan, Zhibin Ren, Zheye Wang
2020 Complexity  
Landsat data (2000–2014) were applied to investigate the spatiotemporal evolution patterns of LST and LULC. The results indicated that the mean LST value increased by 2.32°C between 2000 and 2014.  ...  In order to better alleviate UHI effect, it is important to understand the effect of landuse/landcover (LULC) and landscape patterns on the urban thermal environment from perspective of landscape ecology  ...  to establish time series data to acquire LULC information and to describe the heat environment of the entire area of Zhengzhou City.  ... 
doi:10.1155/2020/7892362 fatcat:yuysqqyy6vhqnjruwj3sybpa4e

Dynamics of Hierarchical Urban Green Space Patches and Implications for Management Policy

Zhoulu Yu, Yaohui Wang, Jinsong Deng, Zhangquan Shen, Ke Wang, Jinxia Zhu, Muye Gan
2017 Sensors  
Urbanization exerts a complicated influence on UGS [14] [15] [16] [17] . Unplanned urban expansion decreases UGS area and degrades the quality of natural vegetation.  ...  Firstly, multiple endmember spectral mixture analysis was applied to time series Landsat data to derive green space coverage at the sub-pixel level.  ...  Data and Preprocessing Landsat series images have been widely used in urban studies [18, 41] .  ... 
doi:10.3390/s17061304 pmid:28587309 pmcid:PMC5492285 fatcat:et6fnpcrxzf6rn43iy5ryzwmg4

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

Haobo Lyu, Hui Lu, Lichao Mou, Wenyu Li, Jonathon Wright, Xuecao Li, Xinlu Li, Xiao Zhu, Jie Wang, Le Yu, Peng Gong
2018 Remote Sensing  
Time series of satellite imagery collected at fine spatial resolution using stable spectral bands over decades are most desirable for this purpose.  ...  Here, we propose a new framework for satellite-based mapping of urban areas based on transfer learning and deep learning techniques.  ...  for providing Landsat data support, and acknowledge Pauline Lovell and Arthur Cracknell for their kind help and comments on this paper.  ... 
doi:10.3390/rs10030471 fatcat:g6d3lajtn5hltk3wzzvvhpo6l4

Remarkable Effects of Urbanization on Forest Landscape Multifunctionality in Urban Peripheries: Evidence from Liaoyuan City in Northeast China

Jinghui Han, Yulin Dong, Zhibin Ren, Yunxia Du, Chengcong Wang, Guangliang Jia, Peng Zhang, Yujie Guo
2021 Forests  
The urbanization of Liaoyuan was significant in 2000–2018. The functions of the forest landscape became stronger and more stable as they were located further away from the urban edge.  ...  The FLM showed a more significant gradient effect of urbanization. The impact distance of urbanization on the FLM increased from 3000 m in 2000 to over 5000 m in 2018.  ...  Recording urban land dynamic and its effects during 2000–2019 at 15-m resolution by cloud computing with Landsat series. Remote Sens. 2020, 12, 2451. [CrossRef] 28.  ... 
doi:10.3390/f12121779 fatcat:nt4u3ahdc5bthf6iu6zvazvpke

Impervious Surface Expansion: A Key Indicator for Environment and Urban Agglomeration—A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area by Using Landsat Data

Fan Liu, Yaolong Zhao, Rizwan Muhammad, Xiaoding Liu, Mingqiang Chen
2020 Journal of Sensors  
This study focuses on the urban agglomeration of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by utilizing the sensor-based Landsat data during 1987-2017 and investigates the spatiotemporal distribution  ...  The modified linear spectral mixture analysis (MLSMA) method is used to extract the IS of the GBA. Then, the IS mapping accuracies were assessed after comparison with high-resolution historical data.  ...  [26] examined the land expansion of urban agglomeration in whole and local regions of Wuhan, China, by using a series of urban expansion indexes and discussed its influencing factors as well as the  ... 
doi:10.1155/2020/3896589 fatcat:ob6la62tjfhbrjxonbpiskwy6q

Spatiotemporal Impact of Urbanization on Urban Heat Island and Urban Thermal Field Variance Index of Tianjin City, China

Nadeem Ullah, Muhammad Amir Siddique, Mengyue Ding, Sara Grigoryan, Tianlin Zhang, Yike Hu
2022 Buildings  
We used Landsat data from 2005 to 2020 to examine the effects of LUC on LST in urban agglomeration.  ...  This study investigated the multi-scale spatial analysis of LUC and LST in Tianjin using remote sensing and GIS data.  ...  The UTFVI Index and Google Earth Engine (GEE), a web-based remote sensing tool, were used to analyze the region's thermal pattern on Landsat Time Series data estimated for LST's spatial distribution.  ... 
doi:10.3390/buildings12040399 fatcat:57jgdafmdzcktjamisf7cwniu4
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