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In this work, DInSAR technique has been applied to the monitoring of mining induced land subsidence in many areas. In this paper, the DInSAR technique is used to process the space borne SAR data including C band ENVISAT ASAR and L band JERS, PALSAR SAR data to derive the temporal land subsidence information in Fengfeng coal mine area, Hebei province in China. Since JERS do not have precise orbit,...
Land use/land cover change (LUCC) is an important content of geographical research on global change today, and urban land-use change is a complex dynamic and spatio-temporal process because city is not only the most concentrated region of mankind's activity, but also the most impressionable sapce interacts with the humanities factor and natural factor. Urbanization is focus of human and land's relation,...
Shanghai has experienced rapid urbanization over the past three decades. With the rapid development and expansion of city, the physical characteristics (such as land cover types, surface albedo and so on) and property of the urban underlying surface are undergoing substantially changes, which significantly impact the climate and ecological environment. Based on the Landsat TM remote sensing imagery,...
The ASTER instrument consists of three subsystems divided by the spectral range: the visible and near infrared (VNIR), the short-wave infrared (SWIR) and the thermal infrared (TIR), with spatial resolutions from 15 m to 90 m. Hence, both urban biophysical descriptors and thermal features can be extracted from them. In this study, the thermal environment of urban in the city of Beihai, Guangxi, which...
The phenomenon of temperature in urban cities is higher than that in suburbs is called Urban Heat Island (UHI), which is put forward by Lake Howard in 1833. Three main algorithms of land surface temperature retrieval of existing thermal infrared remote sensed data has been developed: single channel algorithm, split window algorithm and multi-band algorithm. The thesis selected split window algorithm...
It is well known that land cover change has important implication on urban planning, urban environment evaluation and so on. However, urban land cover information is not easy to be extracted because of its inner complexity resulting from human impact. Under this circumstance, the accurate recognition and classification of different land use types on urban area from remote sensing data has become an...
SO2 is one of the main atmospheric pollution components, and usually used as an indicator to monitor the environmental pollution. The spatio-temporal of SO2 in urban aera provides critical information on the air quality controlling. Being the developed district of China, Zhejiang Province is a typical region suffered from air pollutions as results of human activities. In this paper, OMI SO2 column...
Image fusion is the process of combining information from two or more images of a scene into single composite image that is more informative and more suitable for visual perception or computer processing. Given the same set of the input images, different images may be created depending on the specific application and what is considered relevant information. High resolution panchromatic (Pan) images...
The fusion of high spectral, but low spatial resolution multispectral and low spectral, but high spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. In this paper, we describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform, curvelet transform use the...
The relationships among urban heat island (UHI) distribution and landcover categories, topographic factor, vegetation greenness, and surface evapotranspiration are analyzed in Beijing urban area in 2001. The results show that the significant UHI occurs in Beijing urban area in the four seasons. The land surface temperature (LST) difference is approximately 4-6degC between Beijing city and suburb areas,...
Urban expansion is a complex economic and social process and has been a hot topic not only in the management of sustainable development but also in the fields of remote sensing and geographic information science (GIS). Jinan is chosen to be the study area, as a fresh case, has not been systematically studied so far on the published literature especially its urban growth pattern and evolution prediction...
Shanghai is a region with dense river system, which consists of rivers and ponds. With a rapid increase of economy and urbanization, Pudong New District becomes an example of shanghai development. Unfortunately, the natural and ecological environment of Pudong has been greatly influenced, such as water network of river and pond, which takes effect to collect a large amount of rainwater and prevents...
There have been a lot of researches on urban ash haze pollution and its formation mechanism. But after the ash haze, it has not been paid enough attention by the researchers whether the ash haze pollution could initiate the photochemical pollution in the situation in which the air pollution degree has not declined. This article takes Pearl River Delta as a study object, and focus on the possibility...
While analysing remotely sensed images of urban areas, in many cases an at least approximate knowledge of block partition is useful for specialising operations over areas within which a certain degree of homogeneity can be assumed. Unfortunately, though, this information is not always accessible in a reasonable time or with a reasonable effort, or even in some cases a GIS of the city is not available...
Image segmentation is an important step for classification and feature extraction of high resolution remote sensing image. The purpose of this study is to find an improved segmentation method suitable for high resolution remote sensing image. Firstly a region homogeneity indictor called H index was introduced. Then the optimized edge gradient was obtained based on the integration of Canny operator...
Urbanization has become an important contributor for global warming and urban air temperature is rising gradually in all the cities. It means that urban land use and land cover (LULC) changed became critical in determining the urban environment quality. This paper presents an integrated study to investigate and identify landscape pattern which have the influence to increase of land surface temperature,...
Although lacking fine resolution as airborne sensors, satellite thermal remote sensors are important to urban thermal pattern researches. With the help of downscaling methods and spectral mixing analysis, medium spatial resolution thermal infrared satellite data can retrieve subpixel thermal characteristics by integrating higher resolution and multi-spectral data. Combining SPOT-5 and ASTER is a practical...
EOS ASTER data to retrieve land surface temperature (LST) is to be discussed and an optimal Mono-window algorithm is to be presented by eliminating the influence of atmosphere radiation. Due to inaccuracy of the present inversion algorithm to retrieve parameters such as average temperature influenced by atmosphere and transmission ratio of atmosphere according to LST, a new atmosphere parameter model...
The ultimate goal of pattern recognition systems in remote sensing is to achieve the best possible classification performance for recognition of different objects such as buildings, roads and trees. From a scientific perspective, the extraction of roads in complex environments is one of the challenging issues in photogrammetry and computer vision, since many tasks related to automatic scene interpretation...
Recently, research towards using 3D city models for personal navigation has been rapidly increasing. In this paper, an approach for 3D city model reconstruction for the application of mobile phone-based navigation is presented, which is based on data collected from vehicle-based mobile mapping system (MMS). Our method is performed based on three objectives: small model size, perfect accuracy control...
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