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In this study, using "3S" techniques and partial correlation coefficients analysis, the spatial pattern and the factors of urban green spaces (UGS) in Hong Kong were analyzed in detail. Results indicate that there are many chances to improve the current conditions of UGS especially in the less densely place. The positive roles of PD and BD indicate that the organization and distribution...
Land degradation is an important environmental problem, it will become a threat to food security and the sustainable development of socio-economic systems, ultimately affecting the development of humans with global warming. Xinjiang is a key region in China, in which land degradation is very serious. Combed RS with GIS technology, based on the latest remote sensing data, analyzed the spatial distribution...
Urban areas are generally several degrees hotter than surrounding rural areas, which is referred to as the urban heat island effect. Understanding the spatial pattern of land surface temperature (LST) in cities is important for urban planning, heat mitigation, and air pollution studies. This study developed five models to compare how land cover classes, normalized difference vegetation index (NDVI),...
Leaf area index (LAI) is an essential parameter for monitoring crop growth dynamic. An algorithm, which is based on physical model and neural networks to derive crop LAI from MODIS land surface reflectance, is presented. This algorithm utilizes the directional reflectances instead of the BRDF normalized data to avoid complex BRDF normalization and the error from it. The estimated LAI is compared with...
Land use change (LUC) model is fundamental in decision making process for regional sustainable development. It is practically important to analyze LUC in rapidly urbanizing region, such as Panyu District of Guangzhou, China, where a fast economy development makes it necessary to study the rule of urban land use change. Taking time-spatial land use change as the key point, a case study is carried out...
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,...
We explore the relative influence of biophysical drivers on phenology to assist validation and parameterization of Dynamic Global Vegetation Models. Using 6.8 years of MODIS data we created a vegetation index time series to map the spatial variability of vegetation phenology in the Amazon. TRMM and CERES data were used as a measure of two biophysical variables, precipitation and net radiation respectively...
The physical geography of Mongolian Plateau plays an important role in the East Asian climate ecology system. In this research, GIMMS NDVI, the third generation of NDVI dataset, was processed using the MVC method first, then the spatial-temporal patterns of GIMMS NDVI in Mongolian Plateau during 1982-2003 was investigated, and the transect from Tariat to Xilin Gol was also selected to analyze the...
The integration of climate, satellite, ocean, and biophysical data holds considerable potential for enhancing our drought monitoring and prediction capabilities beyond the tools that currently exist. Improvements in meteorological observations and prediction methods, increased accuracy of seasonal forecasts using oceanic indicators, and advancements in satellite-based remote sensing have greatly enhanced...
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