نتایج جستجو برای: land sat satellite images dated 1988
تعداد نتایج: 493987 فیلتر نتایج به سال:
To investigate land use changes, Qale Shahrokh basin (15098.1 ha area) was selected. Satellite images of Landsat sensors (MSS, TM and ETM+) were used. After improvement and different enhancement analysis of images such as FCC, PCA, the study area was checked using GPS and topographic maps (1:50000) and other information. Land use units were determined using classified random sampling method. Ma...
Integrated management of watershed basins depends on deep knowledge of basic concepts such as the arrangement of lands and their uses. Location and distribution of agricultural land use help to balance water resources in the watershed basins. In this research with the help of satellite images of Landsat 5 and 8, and the method of maximum likelihood classification algorithm, land use types of wa...
To investigate land use changes, Qale Shahrokh basin (15098.1 ha area) was selected. Satellite images of Landsat sensors (MSS, TM and ETM+) were used. After improvement and different enhancement analysis of images such as FCC, PCA, the study area was checked using GPS and topographic maps (1:50000) and other information. Land use units were determined using classified random sampling method. Ma...
Landuse and land cover change (LUCC) is regarded as a good indicator that represents the impacts of human activities on the earth’s environment. When the large collection of multi-temporal satellite images has become available, it is possible to study a long-term historical process of land cover change. The Pearl River Delta (PRD) region in southern China is a region where the rapid development...
1.1 Context With the development of new satellite systems and the accessibility of data from public through web services like Google Earth, remote sensing imagery, knows today an important growing which advanced and still advances researches in this area on different aspects. Especially in cartography, many studies have been conducted for multi-source satellite images classification. These stud...
the main goal of the present study was to implement a hybrid pattern of cellular automata model and particle swarm optimization algorithm based on tm and etm+ imagery of landsat satellite from 1988 to 2010 for simulating the urban sprawling. in this study, an alternative model was implemented in two ways: the first method was based on two images (1988 and 2010) and the second one was based on t...
Due to the scarcity of useable land in Hong Kong, it is a common practice to reclaim land from the sea. The reclaimed land usually undergoes a long period of settlement that may affect building structures and underground facilities such as water supply and sewage systems built on the land. Measurements of land settlement can provide valuable data for assessing the impacts of land settlement and...
Urbanization lead a wide variety of difficulties that changes in the pattern of land use is the major consequence. One of the outcome of land use changes is ecological and biological capacity reduction or desertification. In this study, for determine of desertification due to urban development within the city of Mashhad, was used Iranian mothod (IMDPA). The land use map of this area was prepare...
modeling and prediction of land use/cover changes is an essential need for planning sustainable use of land in country like iran with its high level of changes in land uses and land covers. this study aimed to analyze the capability of ca markov prediction model and landsat satellite images for land use/cover change detection within the framework of âiran at 1404 prospectiveâ in esfarayen r...
Themultispectrality of satellite images and the continuing improvement in the resolving power of the last generation of satellites makes satellite images useful not only for land cover classification but also for identification and classification tasks at a detail useful for archaeology, urban classification and relative risk assessment. The availability of multi-scalar and multi-spectral image...
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