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Single imaging with plenoptic camera can simultaneously record the intensity information and angle information of the light in the scene, and generate a focal stack image through refocusing algorithm. Based on refocusing algorithm, this paper proposes an all in focus image extraction method based on fusing defocus feature and correspondence feature. Through visual qualitative evaluation and quantitative evaluations including edge intensity, information richness and sharpness, in comparison with a variety of single-featured extraction methods, the method provided in this paper shows a better performance on visual effects. There are also improvements of a certain proportion in the objective evaluation indicators.

Taking 716 poverty-stricken counties in China 's 14 contiguous destitute areas as study area, this research uses the county-level multi-dimensional poverty measurement model to measure poverty, and reveal the spatio-temporal distribution characteristics of poverty by spatial autocorrelation and weighted kernel density estimation. The results show that: As far as the distribution of poverty-stricken counties is concerned, there exists a spatial heterogeneity distribution, presenting a typical stepped structure that is "west-high vs. east-low", where different levels of dotted poverty kernels are scattered. The multidimensional characteristics of poverty-stricken counties represent a globally strong spatial dependence. The characteristics of poverty distribution on both sides of the "Hu Huanyong Line" are obviously different.

Anthropogenic heat, the heat released by human activities, is the key factor for the formation of urban heat island. Using the top-down energy inventory method, total anthropogenic heat emissions of Beijing municipality in 2015 have been estimated based on the economic statistics and energy consumption data from the Chinese statistical yearbook. These emissions results from sources including industry, vehicles, buildings and human metabolism. The Suomi-NPP/VIIRS data are used to extract the main emission areas of anthropogenic heat and to reduce the oversaturated effect. Normalized difference vegetation index (NDVI) data are integrated with Suomi-NPP/VIIRS data to generate a human settlement index (HSI) of Beijing-Tianjin-Hebei Region. Using the significant correlation between anthropogenic heat flux (AHF) and the mean HSI, the model for anthropogenic heat flux estimation is developed and implemented in Beijing-Tianjin-Hebei Region. A gridded anthropogenic heat flux map is generated at a resolution of 500m × 500m. The results show that Suomi-NPP/VIIRS data can be applied to spatialize high-resolution anthropogenic heat emissions of large scale areas.

Intensive abstraction of Groundwater has been considered to be the main causation of land subsidence. The temporal and spatial development of land subsidence is effected by the change of groundwater table. This paper first builds digital water table model using Kriging method, and then extracts land subsidence informations, such as hydraulic gradient, cone of depression, and settlement prediction, using some methodologies about DEM, visualization, and geo-statistics. Then, an application of this method is used to one area in South China, and land subsidence informations are expressed in the forms of figures. Keyword—land subsidence, kriging, information extraction