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It is still a challenge to obtain the collapsed building distribution from post-disaster polarimetric synthetic aperture radar (SAR) data. This paper proposed a novel approach for extracting the spatial distribution of collapsed buildings using post-disaster RADARSAT-2 SAR data. In this method, non-building areas are removed by using eigen-values λ2 + λ3. Then, the modified Freeman decomposition which...
Monitoring spatio-temporal dynamics of hydrology in seasonally-flooded wetlands is important for water management and biodiversity conservation. Spectral data and derived indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) have been used for hydrological monitoring of large wetlands. However, comparable studies for small wetlands (<25 km2) are lacking. Our aims are to examine...
In this study, 9 quantitative indices of remote sensing were established by using the spectrum information of Landsat TM image in 2006 and the topographical information of DEMs with the techniques of RS and GIS. Then, these indices were used to establish a discriminated function based on the stepwise discriminant analysis of spatial statistics in support of SPSS software. The wetland, grassland, river,...
Remote sensing of vegetation is developing into a highly quantitative science. 6S atmospheric correction model based on radiative transfer theory, with a definite physical meaning, but it provided a limited number of patterns which are difficult to reasonably describe atmospheric conditions in a specific study area, therefore, in the absence of measured data, it is necessary to select or estimate...
In this study, three threshold algorithms for image segmentation were used to quickly and reliably determine the threshold of oasis vegetation of Jinta in the arid inland river of Northwest China. And then the extraction results were contrasted. This is a beneficial exploration of automatically extracting the boundary of the oasis. During the experiment, firstly, we obtained the greenness images after...
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