نتایج جستجو برای: using satellite images and ground data
تعداد نتایج: 17539452 فیلتر نتایج به سال:
Imagery from GOES satellites is analyzed to determine how solar variability is related to the NOAA classification of cloud type. Without using a model to convert satellite imagery to average insolation on the ground, this paper investigates using cloud categories to directly model the expected statistical variability of ground irradiance. Hourly cloud classified satellite images are compared to...
in this thesis, barium ferrite nano particles were prepared by sol-gel method. their structural and magnetic properties of samples have been investigated using thermo gravimetric analysis (tg-dta), x-ray powder diffractometer (xrd), fourier transform infrared (ftir), scanning electron microscopy (sem), field emission scanning electron microscopy (fesem), ac susceptometer, vibrating sample magne...
Due to the effect of aerosols present in the atmosphere on the satellite images, the study of the effect of local aerosols distribution on the satellite images is important. On the other hand, the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result, this puts more emphasize on the necessity of this study. Lack of informa...
Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), one of onboard sensors carried by Advanced Land Observing Satellite (ALOS), was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation which views forward, nadir, and backward along the satellite track in 2.5 m ground resoluti...
Background and objectives: Satellite images and remote sensing technology are recognized as efficient and modern tools for extracting information related to earth sciences, which make it possible to evaluate and monitor ecosystems at a lower cost than field methods. One of the most important methods of extracting information from satellite data is various image classification techniques. The pr...
Countermeasure for round trip delay which occurs in between satellite and ground with network accelerator is investigated together with operating system dependency on effectiveness of accelerator. Also disaster relief data transmission experiments are conducted for mitigation of disaster together with acceleration of disaster related data transmission between local government and disaster preve...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
There is a fundamental spatial mismatch in the data available for estimate population from satellite imagery. Spectral reflectances are available for each pixel of an image, but ground reference population data are available only for larger zones, therefore satellite imagery has bigger resolution than ground reference images. The general response has been to build models for the average populat...
Surface albedo estimates based on optical and microwave satellite data were compared to corresponding ground based values in a Subarctic boreal forest test site. The ground based albedo values were derived from radiation measurements carried out at the forest floor using an albedo model and measured global and diffuse radiation data. The use of both optical and microwave satellite data turned o...
Today, medicinal plants have a special place in the economy and health of a society. Due to the natural growth of many of these products, the necessity of zoning them for optimum and optimal utilization seems necessary. Traditional zoning solutions are not efficient due to their low accuracy and speed, therefore a new approach is needed. Remote sensing data have many applications in various fie...
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