A variety of deformation surveying techniques have been extensively used for measuring the pattern of ground subsidence. These include precise levelling, total station traversing, aerial photogrammetry and GPS surveys. The impact on the surface infrastructure of underground coal mining to the southwest of Sydney is continuously monitored using a combination of these techniques. Since 2002, expe...

For global monitoring, satellite remote sensing is a useful tool to cover wide area of earth surface for large scale observation. However, the correct interpretation of satellite images remains a challenging problem and the retrieval of earth related information from the processing and analysis of the satellite data requires the development of suitable artificial intelligence based technique. I...

in this article, new index, the optimized synthetized drought index (osdi), is suggested for real-time monitoring of this phenomenon in areas with heterogeneous land covers. the precipitation, one of the important factors in drought, measured by ground stations and improved bytrmm satellite data. each of the three normalized moisture indices, including normalized difference vegetation index (nd...

Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed. In this study, an automatic scheme is proposed for the classification of land use using multispectral remote sensing images based on change detection and a semi-supervised c...

in recent years, synthetic aperture radar (sar) images have played an important role in the detection and monitoring of ground targets because of their advantages such as independence from climatic conditions and sensitivity to the target geometry. the complexity of sar imaging sensors, especially in the conversion process from raw data to image, has made it difficult to interpret the behavior ...

In order to measure precipitation as the main variable for estimating the runoff and designing hydraulic structures, the satellite algorithm products that have the proper spatial and temporal coverage, can be used. In this study, at first, the daily streamflow simulation of Sarough-Cahy River from the Zarinehroud basin was conducted through the artificial neural network (ANN) and ground data of...

classification of vegetation according to their species composition is one of the most important tasks in the application of remote sensing in precision agriculture. to prepare an algorithm for such a mandate, there is a need for ground truth. field operation is very costly and time consuming. therefore, some other method must be developed, such as extracting information from the satellite imag...