Zhenyi Yang
ABSTRACT
Monitoring can always be concerned as a vital part of completing a project successfully. In this paper, we illustrate approaches to detecting the construction process of the Hong Kong-Zhuhai-Macao Bridge from a remote sensing perspective. By applying multi-sources remote sensing data, we found that for establishing Hong Kong-Zhuhai-Macao Bridge, more lands are reclaimed from the sea and farmland instead of greenery areas. Also, we use high-resolution images to record the construction process of the Hong Kong-Zhuhai-Macao Bridge. In that case study, many remote sensing datasets and techniques are mentioned and explained. Working together with remote sensing is suggest helping engineers to discover some environmental and engineering problems in time.
- Tu, Y., , Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020. 13: p. 5384-5397.Google Scholar
- Weiss, D.J., , A global map of travel time to cities to assess inequalities in accessibility in 2015. Nature, 2018. 553(7688): p. 333-+.Google Scholar
- Bertolini, L., F. le Clercq, and L. Kapoen, Sustainable accessibility: a conceptual framework to integrate transport and land use plan-making. Two test-applications in the Netherlands and a reflection on the way forward. Transport Policy, 2005. 12(3): p. 207-220.Google Scholar
- Sutton, P.C., A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery. Remote sensing of environment, 2003. 86(3): p. 353-369.Google Scholar
- Zhang, J., , Exploring Annual Urban Expansions in the Guangdong-Hong Kong-Macau Greater Bay Area: Spatiotemporal Features and Driving Factors in 1986-2017. Remote Sensing, 2020. 12(16).Google Scholar
- Yang, C., , Rapid urbanization and policy variation greatly drive ecological quality evolution in Guangdong-Hong Kong-Macau Greater Bay Area of China: A remote sensing perspective. Ecological Indicators, 2020. 115: p. 106373.Google Scholar
- Yang, C., , Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sensing, 2019. 11(19): p. 2215.Google Scholar
- Wang, X., F. Yan, and F. Su, Impacts of Urbanization on the Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area, China. Remote Sensing, 2020. 12(19).Google ScholarCross Ref
- Zhou, C., , The new process of urbanization in the Pearl River Delta. GEOGRAPHICAL RESEARCH, 2019. 38(1): p. 45-63.Google Scholar
- Lyu, R., , Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China. Land Use Policy, 2018. 77: p. 163-173.Google Scholar
- Hou, Q. and S.-M. Li, Transport infrastructure development and changing spatial accessibility in the Greater Pearl River Delta, China, 1990–2020. Journal of Transport Geography, 2011. 19(6): p. 1350-1360.Google Scholar
- Song, Y. The strategy of Hong Kong-Zhuhai-Macao economic integration development under the background of Hong Kong-Zhuhai-Macao Bridge. in 3rd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2018). 2018. Atlantis Press.Google ScholarCross Ref
- Xiang, F., , Embedded Durability Monitoring System - A Key Part of Ensuring the Service Life of the Hong Kong-Zhuhai-Macao Bridge. Applied Mechanics and Materials, 2015. 738-739: p. 294-298.Google Scholar
- Zhao, Y., , STUDY ON THE SELECTING OPTIMIZATION OF MARINE WATER ENVIRONMENT MONITORING STATIONS AROUND THE HONG KONG-ZHUHAI-MACAO BRIDGE. Environment Engineering, 2018. 36(7): p. 149-154.Google Scholar
- Guo, J., , Assessing the Effects of the Hong Kong-Zhuhai-Macau Bridge on the Total Suspended Solids in the Pearl River Estuary Based on Landsat Time Series. Journal of Geophysical Research-Oceans, 2020. 125(8).Google ScholarCross Ref
- Yu, L. and P. Gong, Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives. International Journal of Remote Sensing, 2012. 33(12): p. 3966-3986.Google Scholar
- Benker, S.C., R.P. Langford, and T.L. Pavlis, Positional accuracy of the Google Earth terrain model derived from stratigraphic unconformities in the Big Bend region, Texas, USA. Geocarto International, 2011. 26(4): p. 291-303.Google Scholar
- Li, X., X. Liu, and L. Yu, Aggregative model-based classifier ensemble for improving land-use/cover classification of Landsat TM Images. International Journal of Remote Sensing, 2014. 35(4): p. 1481-1495.Google Scholar
- Yu, L., , Meta-discoveries from a synthesis of satellite-based land-cover mapping research. International Journal of Remote Sensing, 2014. 35(13): p. 4573-4588.Google Scholar
- Li, X., P. Gong, and L. Liang, A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data. Remote Sensing of Environment, 2015. 166: p. 78-90.Google Scholar
- Gorelick, N., , Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 2017. 202: p. 18-27.Google Scholar
- Tamiminia, H., , Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. Isprs Journal of Photogrammetry and Remote Sensing, 2020. 164: p. 152-170.Google Scholar
- Kumar, L. and O. Mutanga, Google Earth Engine Applications Since Inception: Usage, Trends, and Potential. Remote Sensing, 2018. 10: p. 1509.Google Scholar
- Mahdianpari, M., , Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. Canadian Journal of Remote Sensing, 2020. 46(1): p. 15-33.Google Scholar
Recommendations
Remote Sensing Satellite Image-Based Monitoring of Agricultural Ecosystem
In the agricultural ecosystem, it is necessary to grasp the differences of soil fertility and crop growth in time and space. With the rapid development of remote sensing and its popularization and application in social production practice, remote sensing ...
Quantifying Land Cover Change Due to Petroleum Exploration and Production in the Haynesville Shale Region Using Remote Sensing
The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has ...
Application and Future Development of Land Use Change Detection Based on Remote Sensing Technology in China
APED '10: Proceedings of the 2010 Asia-Pacific Conference on Power Electronics and DesignThis paper summarizes the National Land Use Change Detection Program, the present situation in remote sensing techniques and applications for land management in China. Special attention is given to the recent results that have been achieved in remote ...
Comments