The extraction of spatial data from satellite imagery requires that precise sensor models are used to orientate images. This is particularly important with images acquired by linear sensors, such as SPOT, frequently pointed with large incidence angles. Image orientation with pixel accuracy requires that accurate ground control points are used. The acquisition of ground control is especially dif...

We propose using satellite remote sensing technology with a modified damage detection model based on the regression discriminant function for severe building damage ratios as a method to quickly estimate damaged areas due to tsunamis anywhere in the world. The model was developed using a data set from JERS-1/SAR images of the aftermath of the 1995 Kobe earthquake and its detailed ground-truth d...

satellite imagery was used as a rapid and spatially explicit method to delineate crop residue cover and to estimate the use and intensity of conservation tillage. the potential of multispectral high-spatial resolution of worldview-2 local data was evaluated using 11 satellite spectral indices and linear spectral unmixing analysis (lsua). experimental plots were examined; residue cover was measu...

The road network detection is an emerging area in information extraction from high-resolution satellite images (HRSI). The proposed work in this paper consists of three steps: Pre-filtering, connected component-based operations, and removal of unwanted non-road pixels using morphological operations. The proposed algorithm is experimented on various satellite images and the performance of the sy...

introduction frost as a harmful climatologic phenomenon affects various human activities and biological processes. due to mountainous nature of kurdistan province as the study area of this research in one hand and type and diversity of effective air masses on the other, the frequency, severity and duration of this phenomenon in the province are outstanding. confronting frost could be one of the...