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Impact of vegetation growth on urban surface temperature distribution

Impact of vegetation growth on urban surface temperature dis...

引用

8th International Symposium of the Digital Earth (ISDE)

作者： Buyadi, S. N. A. Mohd, W. M. N. W. Misni, A. Univ Teknol MARA Fac Architecture Planning & Surveying Shah Alam 40450 Selangor Malaysia

Earlier studies have indicated that, the temperature distribution in the urban area is significantly warmer than its surrounding suburban areas. The process of urbanization has created urban heat island (UHI). As a city expands, trees are cut down to accommodate commercial development, industrial areas, roads, and suburban growth. Trees or green areas normally play vital role mitigating the UHI effects especially in regulating high temperature in saturated urban areas. This study attempts to assess the effects of vegetation growth on land surface temperature (LST) distribution in urban areas. rea within the City of Shah Alam, Selangor has been selected as the study area. Land use/land cover and LST maps of two different dates are generated from Landsat 5 TM images of the year 1991 and 2009. Only five major land cover classes are considered in this study. mono-window algorithm is used to generate the LST maps. Landsat 5 TM images are also used to generate the NDVI maps. Results from this study have shown that there are significant land use changes within the study area. Although the conversion of green areas into residential and commercial areas significantly increase the LST, matured trees will help to mitigate the effects of UHI

关键词： NDVI LST mono-window algorithm UHI and GIS

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A Study of Urban Thermal Environment Spatial pattern in Harbin City Based on TM Image

A Study of Urban Thermal Environment Spatial pattern in Harb...

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3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Wang Lei Yao Yunlong Chen Jiao Wang Lanxia Heilongjiang Univ Sci & Technol Coll Min & Engn Harbin Peoples R China Northeast Forestry Univ Coll Wildlife Resources Harbin Peoples R China

ISBN: (纸本)9783037859735

This paper takes land surface temperature as main indicator of urban thermal environment. Using the TM images of September 22, 2010, Harbin city, we analyze the spatial distribution characteristics of land surface temperature by mono-window algorithm. The results can be summarized as follows. The land surface temperature of estimation in Harbin City was between 9 to 27 degrees C. According to temperature gradient of different colors, urban land surface temperature was significantly higher than the suburbs in Harbin, and there were a few places, that was, high temperature and low temperature area showed obvious heat island effect. Strong heat island area were in the multiple center, distributed in DaoWai District, Nangang District and along the railway. From the faubourgs to the downtown area, the proportion of heat island increased gradually, the more strong the heat island effect was in the area located in the centre. From the point of the cause of heat island distribution in Harbin city, urban construction, population growth and real estate development were the main influence factors. The results of the study has important reference value for improving ecological environment of Harbin City, and mitigating urban heat island effect.

关键词： TM Image mono-window algorithm urban thermal environment spatial pattern Harbin City

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mono-window algorithm for retrieval of land surface net long-wave radiation in mountainous area

Mono-window algorithm for retrieval of land surface net long...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Zhang, Wanchang Zhu, Yefei Xu, Shijin Chinese Acad Sci E Asia Atmospher Phys Reg Climate Environm Res Temperate Beijing 100029 Peoples R China Nanjing Univ Dept Geosci Nanjing 210093 Peoples R China

ISBN: (纸本)9781424412112

An algorithm for retrieval of surface net radiation with Landsat TM/ETM+ data was developed in two parts in this study. First of all, net short wave radiation was computed with an improved algorithm for atmospheric correction based on dark object scheme associated with topographic information of the target site to account for the topographic affect on radiant regimes, and then a thermal radiant transfer model for accurate estimation of net long wave radiation over mountainous region by using surface temperature derived from the extended mono-window algorithm to integrate with surface energy balance equations was established. The thermal radiation from surrounding surface thus can be estimated, and atmospheric downward long wave radiation was calculated by means of an empirical formula related to surface temperature. With these two terms, Pixel based surface net radiation can be obtained. An evident advantage of this model is that only two atmospheric parameters, i.e. atmospheric mean effective temperature and surface temperature, are needed. The proposed approach was experimentally applied to a mountainous region located in the Hanjiang Basin, south western China. 6S code was utilized to the Landsat ETM+ image acquired over the region to simulate the surface and atmospheric radiative parameters under different geographic zones at selected climatic conditions to examine the performance of the proposed model. It was suggested that the maximum error in albedo extraction by the,proposed algorithm is about 17% with mean error less than 10%, the maximum error in retrieved short wave net radiation and long wave net radiation is about 15% and 12% with mean error less than about 11% and 9% respectively, which suggested the proposed approach an valid and operational mean in quantitative reversion of surface long wave radiation with satisfied accuracy.

关键词： mono-window algorithm mountainous thermal radiant transfer model net long-wave radiation net short wave radiation

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The urban heat island intensity in Hefei city

The urban heat island intensity in Hefei city

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6th International Symposium on Digital Earth - Data Processing and Applications

作者： Zha, Liangsong Wang, Yingying Wang, Xinyuan Anhui Normal Univ Key Lib GIS Wuhu 241003 Peoples R China Chinese Acad Sci Ctr Earth Observ & Digital Earth Beijing 100190 Peoples R China

ISBN: (纸本)9780819483645

The urban heat island is a phenomenon that the atmosphere temperature of the sky of the city near the ground is higher than the one outside the city, and it has business with the land use. Based on the mono-window algorithm, the urban surface temperature of two imagines is retrieved by using of the Landsat TM data. The urban temperature is divided into five classes according to the mean-standard deviation, in which the first two classes are considered as the urban heat island. The geostatistics is used to analyze the change tend of the urban heat island and its centre of gravity. Then the images are extracted through a multi-step hierarchical classification method. Based on ArcGIS, the relationship of the land use and the surface temperature is analyzed. And the results show that the area of urban heat island increases and the trend of island expansion changes. The temperatures of different types land use are different and change as time goes by.

关键词： urban heat island mono-window algorithm urban surface temperature urban land use spatial analysis

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Using TM thermal image to retrieve land surface temperature

Using TM thermal image to retrieve land surface temperature

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Conference on Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI - Readiness for GEOSS IV

作者： Guo Jianmao Li, Xujie Zhu, Bin Zhou Yexian CMA Inst Plateau Meteoril Chengdu 610071 Peoples R China Nanjing Univ Informat Sci & Technol Nanjing 210044 Jiangsu Peoples R China

ISBN: (纸本)9780819483072

The land surface temperature is an important parameter to hydrology and meteorology, it affects the exchange of sensible and latent heats between atmosphere, sea and land, and it can not be lack in many research fields. To retrieve land surface temperature exactly and quantificationally will promote the development of research areas such as drought forecasting crop yield estimating numerical weather forecast, global climate change and carbon balance. Therefore, retrieval of land surface temperature using thermal infrared remote sensing becomes one of the most important tasks in quantificational remote sensing study. The TM images are used in this article, which were recorded in June 11, 2001 over Nakchu area in Tibetan Plateau, to calculate the land surface temperature. The natural surface is classified based on information of remote sensing (snow, water and other land surface) and relevant information of geography, then the emissivity can be dealt with by each surface type in different way. Last, the land surface temperature is inversed by mono-window algorithm. The result show that the derived regional distributions of the the land surface temperature for the whole mesoscale area is agreed with the land surface status very well.

关键词： landsat TM thermal band land surface temperature mono-window algorithm land surface emissivity

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A Practical Method of Feature Extraction for Water Surface Temperature Based on Thermal Infrared Remote Sensing Image

A Practical Method of Feature Extraction for Water Surface T...

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2nd International Congress on Image and Signal Processing

作者： Zhou Li Jiang Ting-chen Lu Xia Huaihai Inst Technol Sch Geodesy & Geomat Engn Lianyungang 222001 Peoples R China

ISBN: (纸本)9781424441303

In this paper, The retrieval model of water surface temperature is studied on the base on ASTER Thermal Infrared Multispectral data. The model of the radiation brightness switching, water surface brightness temperature and water surface temperature are constituted for the ASTER thermal infrared Multispectral TIR. The practical model base on the mono-window algorithm is detruded to be fit for the temperature retrieval on the water surface temperature, it need not estimate the temperature parameter. Not only simplifies the regression estimate but also increases the retrieval precision of the mono-window algorithm and reliability. The Haizhou Bay area of sea surface temperature are extracted, and the arithmetic precision are estimated to make use of the observation data of the weather.

关键词： component thermal infrared remote sensing temperature retrieval mono-window algorithm

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Influence of land use/cover change on land surface temperature of Laizhou Bay plain

Influence of land use/cover change on land surface temperatu...

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Conference on Remote Sensing and Modelling of Ecosystems for Sustainability IV

作者： Ning Jicai Gao Zhiqiang Zhang Zulu Li Zijun Shandong Normal Univ Inst Populat Resource & Environm Jinan 250014 Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China

ISBN: (纸本)9780819468277

Many costal regions in China are confronted with challenging problems of limited land resources and increasing population. Saline lands, tidelands and wetlands have been enclosed for agricultural land uses and urbanization buffer zones under a series of reclamation programs. A combined approach of remote sensing (RS) and geographical information system (GIS) was used in this study to identify the impact on Land Surface Temperature (LST) due to land use/cover change. We analyzed the impacts of LUCC (Land Use and Land Cover Change) on LST in Laizou Bay plain in different years. The results showed that land use types of culturing water increased significantly, correspondingly the area of grass land and salt land have a substantial reduction, and that of urban and rural settlements increased considerably. We retrieved the land surface temperature of two years using the method of Qin Zhihao's mono-windows algorithm. Then we analyzed the temperature change on different kinds of land use. We find different types of land use have different responses on temperature change. To sum up, there are strong correlations between LUC and LST.

关键词： land use / cover change land surface temperature Laizhou Bay temperature retrieval mono-window algorithm

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Remotely sensed monitoring of urban heat island in Chongqing

Remotely sensed monitoring of urban heat island in Chongqing

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15th International Conference on Geoinformatics

作者： Tian, Yongzhong Gao, Yanghua Yi, Jia Zhu, Lifen Southwest Univ Sch Geog Sci Chongqing 400715 Peoples R China Chongqing Inst Meteorol Sci Chongqing 401147 Peoples R China Res Ctr Econ Upper Reaches Yangtze River Chongqin Chongqing 400067 Peoples R China Business Univ Chongqing 400067 Peoples R China

ISBN: (纸本)9780819469120

With the globe climate warming and the extension of urban area, urban heat island has become a serious problem of urban environment. How to effectively monitor the structure and the change of urban heart island is becoming the focus of research on urban environment. Taking the urban core area of Chongqing as the research object, this paper uses Landsat TM/ETM+ imageries in 1988, 2001 and 2006, as well as the observing data of climate station, to study the urban ground temperature. The retrieve method of ground temperature is discussed, including mono-window algorithm, and the process how to get the four parameters of the algorithm. The retrieved ground temperature is standardized with extremum and classified into five temperature zones. The buffer analysis is carried out to detect the spatial structure and its change of urban heart island. The study shows that the character of heart island in Chongqing is great different from that in plain cities. Owing to the effect of special terrain of Chongqing, the heart island has clear hierarchy. The study also shows that the intension and extension of hear island is greatly enlarged from 1988 to 2006 due to the outspread of urban area.

关键词： heat island land surface temperature mono-window algorithm NDVI remote sensing

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