The aim of the paper was to test the possibility of using object based image analyses of Landsat satellite data for worldwide assessment of sea coast changes over time. The coastline in this project was defined as the seaward margin of dunes or land vegetation. The proposed method uses Red and IRed channels of Landsat images for segmentation. The rule based classification of segmented objects i...

In this paper we propose a context sensitive technique for unsupervised change detection in multitemporal satellite images of same scene using Pulse coupled neural network. PCNN is a novel artificial neural network which is developed in 1990 and based on visual cortex of cats. The binary images generated by each iteration of the PCNN algorithm create specific signatures of the scene which are c...

The paper provides an assessment of Tuz Gölü, a site in Turkey proposed for the radiometric vicarious calibration of satellite sensors, in terms of its spatial homogeneity as expressed in visible and near-infrared (VNIR) wavelengths over a 25-year period (1984–2009). By combining the coefficient of variation (CV) and Getis statistic (Gi*), a spatially homogenous and temporally stable area at le...

nowadays the science of remote sensing and satellite data, constitute modern scientific tools,as they provide important information and make research easier in many scientific fields. this research articlepresents an integrated system for continuous monitoring of the vegetation and the human impact on the natura2000 protected areas of strofilia forest and kotychi lagoon (natura 2000 codes: gr 2...

Monitoring glacier changes in remote Arctic regions are strongly facilitated by satellite data. This is especially true for the Russian Arctic where recently increased optical and SAR satellite imagery (Landsat 8 OLI, Sentinel 1/2), and digital elevation models (TanDEM-X, ArcticDEM) are becoming available. These datasets offer new possibilities to create high-quality glacier inventories. Here, ...

Existing image segmentation algorithms have recently been ported to the widely used ERDAS Imagine graphical user interface. Within the USDA Forest Service Region 5 Remote Sensing Lab these algorithms have traditionally been applied to Landsat TM data for the purpose of landscape delineation. A less confining image processing environment, combined with the wide availability of finer resolution d...

The land surface temperature (LST) represents a critical element in efforts to characterize global surface energy and water fluxes, as well as being an essential climate variable in its own right. Current satellite platforms provide a range of spatial and temporal resolution radiance data from which LST can be determined. One of the most complete records of data comes via the Landsat series of ...

Evaluation of Oak Forest Drying in Physiographic and Landuse Units Ilam Province using Landsat Satellite Images 8