Spatial On-Line Analytical Processing (SOLAP) is a powerful decision support systems tool for exploring the multidimensional perspective of spatial data. In recent years, remotely sensed data have been integrated into SOLAP cubes, and this improvement has advantages in spatio-temporal analysis for environment monitoring. However, the performance of aggregations in SOLAP still faces a considerab...

Analysis of the multi–spectral remotely–sensed images of the areas destroyed by an earthquake is proved to be a helpful tool for destruction assessments. The performance of such methods is highly dependant on the preprocess that registers the two shots before and after an event. In this paper, we propose a new fast and reliable change detection method for remotely– sensed images and analyze its...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Differentiating between snow and clouds presents a formidable challenge in the context of mapping cover over Qinghai–Tibetan Plateau (QTP). The frequent presence cloudy conditions severely complicates discrimination from satellite imagery. To accurately monitor spatiotemporal evolution cover, it is imperative to address these challenges enhance segmentation schemes employed for assessment. In t...

Multichannel images are characteristic of certain applications, such as medical imaging or remotely sensed data analysis. In such images, each pixel is given by a vector of values. Due to the large data volumes often associated with multichannel imagery, there is a need for parallel algorithms able to process those data quickly enough for practical use. This paper describes a parallel implement...

I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. Abstract This thesis examines the feasibility of assimilating space borne remotely-sensed microwave data into WATClass using the ensemble Kalman filter. W...

Fire detection based on multi-temporal remote sensing data is an active research field. However, multi-temporal detection processes are usually complicated because of the spatial and temporal variability of remote sensing imagery. This paper presents a spatio-temporal model (STM) based forest fire detection method that uses multiple images of the inspected scene. In STM, the strong correlation ...

The present study is the first attempt to examine temporal and spatial characteristics of aerosol properties and classify their modes over Iran. The data used in this study include the records of Aerosol Optical Depth (AOD) and Angstrom Exponent (AE) from MODerate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Index (AI) from the Ozone Monitoring Instrument (OMI), obtained from 2005 t...

For the frangible ecological environment, it is very important to reasonably develop and utilize groundwater resources in Northwest China. Shallow groundwater level is an essential factor related to the eco-environmental problems such as oasis degeneration and land salinification. The lack of groundwater dynamic data is a critical concern for water resources management in the arid region. This ...