introduction: snowmelt runoff plays an important role in providing water and agricultural resources, especially in mountainous areas. there are different methods to simulate the process of snowmelt. inter alia, degree-day model, based on temperature-index is more cited. snowmelt runoff model is a conceptual hydrological model to simulate and predict the daily flow of rivers in the mountainous b...

Agricultural land use mapping and change detection are important for environmental assessment and crop yield estimation. An effective mapping and change detection of crop land use requires large image coverage with sufficient resolutions in spatial, spectral and temporal dimensions. But few earth observation sensors can solely collect image data that meet all these requirements. The MODIS (Mode...

The Okavango delta in northwestern Botswana is an extremely complex and dynamic wetland ecosystem. The spatial information on diverse wetland features of the delta is needed for hydrological modeling and water resources management. Due to large size and inaccessibility of the delta, satellite images provide the only viable means to reliably map and measure these features. For better identificat...

The effects of spatial resolution on the accuracy of mapping land use/cover types have received increasing attention as a large number of multi-scale earth observation data become available. Although many methods of semi automated image classification of remotely sensed data have been established for improving the accuracy of land use/cover classification during the past forty years, most of th...

With improved spatial resolution of available satellite images and the ability to collect the stereo images within a short time period, the importance of satellite images for generating elevation information has grown. Most of the users try to use satellite images because of the reasonable time and cost for ordering. The speed of information generation by satellite sensors from planning to exec...

In modern agriculture, the spatially differentiated assessment of the leaf area index (LAI) is of utmost importance to allow an adapted field management. Current hyperspectral satellite systems provide information with a high spectral but only a medium spatial resolution. Due to the limited ground sampling distance (GSD), hyperspectral satellite images are often insufficient for precision agric...

Merging of different data sets is often used in digital image processing to improve the visual and analytical quality of the data. The analyst may need to merge different types of data. In this process, different data such as satellite imagery from the same sensor but with different resolution, satellite imagery from different sensors with varying resolution, digitized aerial photography and sa...

In the fifth development plan establishment, establishment of the Cadastre System of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. In this study, the possibility of provision of the Cadastral mapping of agriculture by a integration of the data of the remote sensing and ...

This themed issue focuses on the cultural meanings and spatial politics of high-resolution satellite imagery, critically examining how the burgeoning use of these data is radically reshaping the ways different groups comprehend space and place. Orbiting high overhead are a scatter of small, but very costly, satellites designed to produce streams of visual spatial representations of the ground b...

High resolution satellite images offer rich abundance information of the earth surface including spatial, spectral and contextual information. In order to extract the information from these high resolution images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed dat...