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Geospatial Technology is one of the three emerging technologies in the 21st century. Driven by societal and economical needs, Earth observation and remote sensing techniques are now in the frontiers of the geospatial technology, and are receiving an increased interest in the academic, government, industries, and beyond. China is a rapidly evolving nation in space and Earth observation technologies...
A coherent vegetation backscattering model which was developed by modifying the Michigan grassland coherent mode for the application of agricultural fields with uniform distribution was used in this research. The coherence effect between various scattering mechanisms is considered in this model. An experiment was carried out over a flat agriculture area located at Gongzhuling, in the Jilin province...
This paper used multi-periods of Landsat image data to detect the urban area change of eleven cities located in different administrator-tiers of Central and Southern China for the past three decades. Urban expanding intensity and impacts on eco-environment were quantitatively measured by Annual Urban Growth Rate (AGR) and reduction of ecosystem service value. Comparison was applied among different...
Satellite platforms carrying thermal infrared sensors provide continuous monitoring of the land surface temperature (LST) distribution at a spatial resolution ranging from 3–5km to ∼100m. A suite of advanced methodologies for the study of the thermal urban environment using satellite images is being developed at National Observatory of Athens (NOA) in collaboration with leading organizations. The...
Urban landscapes represent one of the most challenging areas for remote sensing analysis due to high spatial and spectral diversities of surface materials involved. High Resolution images (HR, better than 5-m spatial resolution) have a potential for detailed and accurate mapping of urban environment. The objective of this study is to analyze the effectiveness of multi-scale morphological features...
Mega cities and their development are a synonym for the steady and dynamic trend of global urbanization. The number of these extreme metropolises exploded from three mega cities in 1975 (Mexico City, New York, Tokyo) to actually 27 and it is expected that more than 100 new ones will emerge within the next three decades. However, particularly in developing countries the spatiotemporal characteristics...
Impervious surfaces estimation has become very significant both in urban and environment studies. Recently, the synergistic use of optical and Synthetic Aperture Radar (SAR) data has been identified as a promising approach for accurate estimation of impervious surfaces. This paper presents a comparison study over three different levels (pixel, feature, and decision level) of fusion between optical...
In recent decades, researchers have developed methods and models to reconstruct time series of irregularly spaced observations from satellite remote sensing, among which the widely used Harmonic Analysis of Time Series (HANTS) method. Many studies based on time series reconstructed with HANTS documented the excellent performance of this method. While some limitations of HANTS have been noticed in...
In order for a good analysis of the spatial distribution of urban heat island, a statistical method based on the linear regression between land surface temperature (LST) and both vegetation cover fraction (VCF) and bright temperature (BT) is developed to downscale LST from low spatial resolution to high spatial resolution. This algorithm is applied to downscaling of the FENGYUN-3A Visible and Infrared...
Land surface albedo may be derived from the satellite data through the estimation of a bidirectional reflectance distribution function (BRDF) model and angular integration. However many BRDF models do not consider explicitly the topography. In rugged terrain, the topography influences the observed surface reflectance, and varies the distribution of downward irradiance, so that BRDF and angular integration...
Marine oil spill is a major threat to marine and coastal ecosystems and is seen relatively often, such as the Deepwater Horizon oil spill disaster in the Gulf of Mexico in 2010 and Bohai Sea oil spills in China in 2011. Fast and accurate discrimination of oil spill is the largest challenge in detection of oil spills using remote sensing technology. In this research imaging spectroscopic analysis and...
With the rapid increase of the population, the quantification of the impact from the human activities becomes critical not only for the environmental science but also the urban engineering under the global urbanization and climate change. This paper focused on the estimation of two human activity-related indexes, fractions of impervious surfaces and crop fields with remote sensing technology. Temporal...
Lack of information is one of the barriers for protecting the Ming Great Wall (MGW). This paper presents a method to measure MGW based on image interpretation and stereo mapping from aerial photographs. Firstly, we introduce a method to identify MGW using image interpretation based on sample data and document, from which features of the MGW were extracted. Secondly, a framework for building stereo...
In 2009, terrestrial ecosystems in China were hit by a series of droughts in different seasons. However, the degree at which net primary productivity (NPP) of terrestrial ecosystems was affected in China is not clear yet. In this study, the remote sensing driven process-based Boreal Ecosystem Productivity Simulator (BEPS) model was used to estimate NPP decrease in China's terrestrial ecosystems caused...
Soil organic carbon (SOC) pool plays an important role in the land ecosystem carbon cycle, and Net primary productivity (NPP) is one of the driving forces that have a notable impact on the SOC pool. An assessment of SOC Pool in coal mining area which spatial distribution and temporal variation associated with NPP can provide scientific basis for government to reduce carbon emission and increase carbon...
An improved Carnegie Ames Stanford Approach model based on two kinds of remote sensing data, Landsat ETM+ and MODIS, and climate variables was applied to estimate the net primary productivity (NPP) of Xuzhou in the June of 2006,2008 and 2010. The NPP of the study area decreases with the spatial scale expanding; The average NPP of terrestrial vegetation in Xuzhou shows decreasing trend in recent years...
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