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The spatial-temporal evolution of impervious surface expansion is essential for an better and powerful understanding of the urbanization process and its impact on environment and climate change. In this paper, a Classification and Regression Tree (CART) algorithm which is based on a supervised classification using ENVI's native Decision Tree tool is applied for retrieving continuous, long-term expansion...
Precise atmospheric correction is important for applications where small differences in Surface Reflectance (SR) are significant, such as biomass estimation, crop phenology and retrieval of water quality parameters. As a precursor to monitor water quality parameter Chlorophyll-a (Chl-a), around the coastal waters of Hong Kong using medium resolution sensor, Landsat Thematic Mapper (TM) and Enhanced...
There is a scientific need to present an objective, spatially explicit and quantitative measure for sensitivity of vegetation toward precipitation in dry land. It will be helpful to understand the spatial and temporal interaction between them. In the study, we used 1km-monthly MODIS (Moderate Resolution Imaging Spectro-radiometer) NDVI time-series (2001–2013 year) as proxy to indicate temporal context...
Based on the Landsat TM image on August 12, 2010, a 4 × 4 fishnet with 16 grids was built, and each grid was 3.5 km× 3.5 km. The changes of the LST (land surface temperature), urban heat island (UHI) source and sink areas and their corresponding percentages in the 16 grids were analyzed in order to find the optimum configuration of source and sink areas. The relationships between LST and remote sensing...
Evapotranspiration (ET) is one important component of hydrological process. It is also a limited factor for ecological environment conservation. The unreasonable utilization of water resources resulted in many problems in the Heihe River Basin, such as the over exploited of water resources, especial the ground water, the river flow decrease, land degradation. A correct understanding of the water consumption...
In the past two decades, GNSS-R (Global Navigation Satellite System-Reflectometry) has been emerged as a new kind of microwave remote sensing technique. The reflected signals of the GNSS constellations and the direct ones form the typical bistatic or multi-static radar working mode. While, for one side, a new kind of special GNSS-R receivers should be developed to enhance the reflected signals. For...
During the past few decades, the complexity of global change and its interaction with human activities have posed significant challenges to the scientific community. Driven by the needs of societal and economic development, geospatial technology has become one of the three emerging technologies in the 21st century. As the frontiers of geospatial technology, Earth observation and remote sensing techniques...
With the increasing applications of multi-source remote sensing, the synergistic use of optical and SAR remote sensing images is becoming more and more frequently used. However, an effective and efficient application of both optical and SAR remote sensing remains a challenging task due to a number of factors. One of the challenging task is the co-registration between optical and SAR images. This study...
This paper presents a hierarchical structure feature analysis technique, which is robust to registration noise for change detection in multi-temporal very high spatial resolution (VHR) remote sensing images. To suppress the registration noise in “difference images”, the proposed technique extracts the structural features of the same local area from multi-temporal images and then analyzes the similarity...
Nowadays, urban land use mapping has played a significant role in commerce, urban planning, tourism, as well as in environmental management. With the development of remote sensing technology, high spatial resolution satellite imagery has the capability to enable accurate classification of general urban land cover and land use types. In this study, we compared pixel-based and object-based methods for...
The components of urban surface are diversified and mainly included building area, vegetation, water body and so on. To give urbanization a quantitative analysis in order to describe and forecast some problems, which occurred in the process of urbanization, the analysis of urban land surface components is important and necessary. One of the recent major advances in urban land surface components analysis...
Semi-automatic/automatic road extraction from remote sensing imagery is one of the hot topics in the field of remote sensing, surveying and mapping and computer vision, etc. Traditional methods based on Marr's Computation Theory of Vision follow the pattern of local-to-global features extraction. However, in high resolution image, the local features such as road boundary and road width are easily...
The application of hyperspectral remote sensing has been a research focus in recent years, and one of its fundamental goals is to detect and classify the constituent materials for each pixel in the scene, which is pixel unmixing. This research proposes spectral reconstruction, which is the inverse process of pixel unmixing. It can be used to analyze the essence of the hyperspectral imaging procedure...
Relief has a significant impact on image classification in mountain areas because slope and aspect of the terrain together with the illumination geometry (solar zenith, solar azimuth angle and sensor position) make that one and the same land cover class has markedly different spectral signatures within one satellite image. Topographic normalization models help reduce intra-class spectral variability...
Remote sensing has been an important mean of resource monitor, especially monitoring wetlands where researchers can hardly get to. This paper applied SPOT-5 image to classify the East Dongting Lake area into five cover types using the decision tree classification method. The five cover types were water, mudflats, bare ground, low-coverage marsh land and high-coverage marsh land. According to results...
Wetlands are a natural complex formed by the interaction of land and water systems. They play an irreplaceable role in biodiversity conservation, control of global climate change, water purification and mitigation of flood disaster. Thus, extracting information of wetlands has become very important. Recent years the rapid development of high spatial resolution remote sensing technology provides great...
In this paper, we proposed a new strategy to extract underdeveloped villages from high spatial resolution optical image based on Grey Level Concurrence Matrix (GLCM) textures and fuzzy classification. Experiments were carried out using 126 samples with size of 300m*300m extracted from 1m spatial resolution optical image in Beijing and Tianjin in China. Results showed that our method can largely extract...
Vegetation height is an important parameter in quantifying the terrestrial carbon cycle effectively. P band synthetic aperture radar (SAR) is good at monitoring forest areas, which is sensitive to the contributions from vegetation layer and ground. Random Volume over Ground (RVoG) model has been widely applied to forest height inversion. Corresponding single baseline or muti-baseline methods have...
Urban sprawl is a multifaceted issue concerning the expansion of auto-oriented development. For Taipei City in Taiwan, the price of real estate is increasing rapidly, such that people have been forced to move to suburban areas. This phenomenon should be monitored and observed closely. Land surface temperature (LST) can be used to reflect the population accumulation and distribution in an area. Landsat...
This paper outlines the technical processes of two InSAR techniques—IPTA (Interferometric Point Target Analysis) and TCPInSAR (Temporarily coherent point InSAR). IPTA is a kind of PSI (Permanent Scatter Interferometry) technique while TCP is a kind of multi-temporal InSAR technique. Thirty five scenes of 3m resolution COSMO-SkyMed ascending images and 35 scenes of 3m resolution COSMO-SkyMed descending...
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