نتایج جستجو برای: satellite images of irs_1c
تعداد نتایج: 21186900 فیلتر نتایج به سال:
The reconstruction of the information contaminated by cloud and cloud shadow is an important step in pre-processing of high-resolution satellite images. The cloud and cloud shadow automatic segmentation could be the first step in the process of reconstructing the information contaminated by cloud and cloud shadow. This stage is a remarkable challenge due to the relatively inefficient performanc...
land use mapping using fuzzy classification: case study in three catchment areas in hamedan province
land cover mapping is important for many planning and management activities. today, satellite images and remote sensing techniques are extensively used in all sectors including agriculture and natural resources because they provide updated data and high analyzing abilities. in this study, in order to produce land cover map for the northern part of hamedan province , digital satellite data irsp6...
introduction monitoring of salt lake dry areas is an important parameter for sustainable development and environmental protection. monitoring of dried areas of the salt lake requires extraction of thematic maps at different times. powerful tool for remote sensing of the earth different ecosystems, such as playa environments, is to produce valuable and useful data. the major causes of widespread...
Nowadays, for managing coastal zones and littoral lands, we need accurate and updated information on hydrography of coastal areas. These data can be obtained by local measurements, airborne imagery and satellite data. Using satellite data is not time-consuming and expensive like than other methods, thus it is most economical method in the world. Unfortunately, this method is not developed in Ir...
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
in the present research land use changes modeling in the urmia city is considered in order to detect changes in agricultural lands. in this regard, landsat satellite images were used and then the object base processing satellite images was performed by applying the process segmentation and in the next stage, the optimization of scale segmentation and image analysis to its constituent elements, ...
An important factor in sustainable agriculture and economic management is to calculate areas under different crops that the inputs of agriculture connect to this topic. Planning of agricultural mechanization, fertilizer and pesticide requirements, pests and diseases control, estimates of agricultural production, income and tax and financial planning, all linked to the cultivated areas and estim...
soil salinity is one of the main environmental problems affecting extensive area in the world. there are some problems with traditional data collection methods for soil studies. using the new methods and techniques such as remote sensing could overcome most of these problems. however using these data in areas with uncommon usages needed some researches to find the best calibration between the d...
Given the importance of snow, it seems necessary to predict its resultant runoff for optimized usage. In addition, due to snowbound regions cloudiness in winter season, the notice of snow cover area (SCA) using satellite images is difficult. Hence, to help better water resources managing in mountainous areas using supplementary methods for simulating the SCA is necessary. As a case study, Horo-...
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
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