نتایج جستجو برای: images of tm satellite sensor 1989
تعداد نتایج: 21223251 فیلتر نتایج به سال:
In recent years, acquiring information of remote sensing data, especially satellite data has excessively increased and several methods are presented in order to improve the quality of remote sensing studies in earth sciences. It is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and GIS method. R...
introduction in recent decades, a large variety of science experts, including geology and mine scientists, have considered remote sensing technology as one of the most important instruments to receive information. access to hyper spectral data is one of the main evolutions in the remote sensing technology. the main feature of the technology is its application in identification of minerals and d...
fluorescence chemical sensors for the highly sensitive and selective determination of pb2+ , hg2+, co2+ and fe3+ ions in aqueous solutions are described. the ion sensing system was prepared by incorporating lipophilic ligand (l) as a neutral ion-selective fluoroionophore in the plasticized pvc membrane containing sodium tetraphenylborate or potasium tetrakis (p-chlorophenyl) borate as a liphoph...
A methodology for image fusion based on the Hermite transform is presented. First, we demonstrate fusion with multispectral images from the same satellite (Landsat 7 ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case we show fusion with different sensor images, namely SAR and multispectral Landsat 5 TM. ...
The aim of the study presented herein is to use multisensor / multi-channel satellite images to compute meso-scale surface currents in the Northern and Central Baltic Proper. The images were acquired by the Thematic Mapper (TM) aboard Landsat, the Synthetic Aperture Radar (SAR) aboard ERS-2, the Wide-Field Scanner (WiFS) aboard the IRS satellites, and the Seaviewing Wide Field-of-View Sensor (S...
This study focuses on the analysis of the Landsat-5 TM + SPOT-Pan (1992), IRS-1C/D LISS + Pan (2000), and Landsat-5 TM (2006) satellite images that reflect the drastic land use/land cover changes in the Küçükçekmece Lake region, Istanbul. Landsat-5 TM satellite data dated 2006 was used for mapping water quality. A multiple regression analysis was carried out between the unitless planetary refle...
the main aim of the present study was to map of urmia lake water surface diminishing rates over a long-term period, and demonstrating the most recent surface of emerged salty alluvial plains. for this purpose, landsat tm, etm+ and oli imageries, observing from 1984 to 2015, were progressively processed to generate most of the thematic models in tempo-spatial context. all multi-date satellite da...
Tracking and monitoring ocean features which have short coherent time periods from sequential satellite images requires that the images have both very high spatial resolutions and short temporal sampling intervals (i.e., repeated cycles). Satellite images from a single sensor in a polar-orbiting satellite usually cannot meet these requirements since high spatial resolution of the sensor may res...
Large scale land use/cover changes and habitat fragmentation have been associated with the decline of many wildlife populations in ecological sensitive regions. The main goal of this study was to quantify the spatial pattern changes in Caucasian Black Grouse habitat in Arasbaran Biosphere Reserve, Northwest of Iran in a period of 24 years (1987–2011). Caucasian black grouse (Tetrao mlokosiewicz...
Remote sensing is the main technology for assessing expansion and rate of land cover changes. Knowing the different kinds of land cover changes and human activities in different parts of lands, as the base information for different planning is especially important. In this study, the land cover changes of Isfahan city that is consist of Isfahan and its` surrounded area was studied for the past ...
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