نتایج جستجو برای: cover classes

تعداد نتایج: 263011  

Journal: :محیط شناسی 0
جلال عبداللهی سید علی محمد چراغی محمدحسن رحیمیان

in this study, the environmental effects of land use changes on vegetation cover and emitted land surface temperature in two urban and non-urban areas of ardakan in yazd province, iran, were studied and compared temporally, using remote sensing technique. for this purpose, contemporary land sat satellite images in 1990 and 2002 were acquired and used. then vegetation cover maps were generated u...

Background and Amis: The most important environmental challenges facing the West of iran in recent years is the dust phenomenon, that today has become one of the most important problems in arid and semi-arid areas. This phenomenon occurs as a climatic phenomenon in all climatic conditions, that causes adverse social, economic, environmental and commercial impacts. In this research have used dus...

Desertification phenomenon is not devoted to an especial climate, although its role in arid and semi-arid areas is clearer than other regions. In this research, four criterions of the wind erosion, soil, vegetation cover and climate have been considered for evaluating desertification potential and mapping of desertification intensity using to IMDPA model in ZAHAK Sistan region. Considering to e...

2002
HONG S. HE STEPHEN J. VENTURA DAVID J. MLADENOFF H. S. He

Spatial aggregations of raster data based on the majority rule have been typically used in landscape ecological studies. It is generally acknowledged that (1) dominant classes increase in abundance while minor classes decrease in abundance or even disappear through aggregation processes; and (2) spatial patterns also change with aggregations. In this paper, we examined an alternative, random ru...

2004
Markus Törmä Juho Lumme Ulla Pyysalo Niina Patrikainen Kari Luojus

A set of ERS SAR and optical MODIS-images were classified to land cover and tree species classes. Different methods for pixel and decision based data fusion were tested. Classifications of featuresets were carried out using Bayes rule for minimum error. The results were not very successful, the classification accuracies of land cover classes varied from 43% to 75%, depending on the used feature...

In this study, the capabilities of Interferometric Synthetic Aperture Radar (InSAR) time series data and machine learning have been evaluated for land cover mapping in Iran. In this way, a time series of Sentinel-1 SAR data (including 16 SLC images with approximately 24 days time interval) from 2018 to 2020 were used for a region of Ahvaz County located in Khuzestan province. Using InSAR proces...

Journal: :IEEE Transactions on Geoscience and Remote Sensing 2013

Journal: :Environmental management 2014
Susan B Adams

Historic land use changes and subsequent river channelization created deeply incised, unstable stream channels largely devoid of natural cover throughout the Yazoo River basin, Mississippi, USA. Large trash (e.g., televisions, toilets, car parts) dumped in streams provided shelter for some aquatic fauna. To determine whether trash served as a surrogate for natural cover, I examined crayfish use...

ژورنال: علوم آب و خاک 2009
خواجه الدین, سید جمال الدین, سفیانیان, علیرضا, ضیائی, حمیدرضا, فلاحتکار, سامره,

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 ...

Journal: Desert 2008
A. Keshtkar H. Keshtkar

Land degradation is a major danger which restricting different areas of Iran. Systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. Use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. Existing systems for classif...

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