Publication | Closed Access
Implication of relationship between natural impacts and land use/land cover (LULC) changes of urban area in Mongolia
11
Citations
28
References
2017
Year
Unknown Venue
Environmental MonitoringNatural ImpactsEngineeringLand UseEnvironmental Impact AssessmentLand CoverLand DegradationEarth ScienceSocial SciencesUrban Land UseUrban GrowthLand-use PlanningClimate ChangeStatistical MethodsGeographyUrban EcologyUrban Heat MitigationUrban PlanningLandscape ChangeLand Cover MapUrban AreaUrban GeographyLand ManagementRemote SensingUrban Climate
Urban growth can profoundly alter the urban landscape structure, ecosystem processes, and local climates. Timely and accurate information on the status and trends of urban ecosystems is critical to develop strategies for sustainable development and to improve the urban residential environment and living quality. Ulaanbaatar city was urbanized very rapidly caused by herders and farmers, many of them migrating from rural places, have played a big role in this urban expansion (sprawl). Today, 1.3 million residents for about 40% of total population are living in the Ulaanbaatar region. Those human activities influenced stronger to green environments. Therefore, the aim of this study is determined to change detection of land use/land cover (LULC) and estimating their areas for the trend of future by remote sensing and statistical methods. The implications of analysis were provided by change detection methods of LULC, remote sensing spectral indices including normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI). In addition, it can relate to urban heat island (UHI) provided by Land surface temperature (LST) with local climate issues. Statistical methods for image processing used to define relations between those spectral indices and change detection images and regression analysis for time series trend in future. Remote sensing data are used by Landsat (TM/ETM+/OLI) satellite images over the period between 1990 and 2016 by 5 years. The advantages of this study are very useful remote sensing approaches with statistical analysis and important to detecting changes of LULC. The experimental results show that the LULC changes can image on the present and after few years and determined relations between impacts of environmental conditions.
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