نتایج جستجو برای: variation area and remote sensing technique
تعداد نتایج: 17003553 فیلتر نتایج به سال:
background and objectives: food security has been most important concern of the mankind on the earth. on the other hand, agricultural productions have always been face by risk probability in the case of weather and changes in international markets, however this risk probability never undeleted completely, but could be minimized that by pre-harvesting yield estimation. in this study, different m...
analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. in this study, the land use maps in the ardabil plain in north-west part of iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. t...
Current study monitored Electerical Conductivity (EC) as soil salinity index and Organic Matter (OM) in the area of Harat in Yazd, Iran, through remote sensing technology with high spatial and spectral resolution. The images were selected from IRS, LISS III satellites between the years 2008 and 2012. After preprocessing and analyzing the images, the relationship between parameters of (EC) an...
Background and Aim: Arthropod-borne diseases are one of the major causes of human mortality. Since launch of the first meteorological satellites in 1960s, remote sensing has been increasingly implicated in the field of human health research and the data from satellites and their sensors with different spatial and temporal resolutions opened a new field of research in human health for scientists...
Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...
Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...
The determination of air temperature is important in the energy balance calculation, hydrology and meteorological studies. In this regard, the limited number of meteorological stations is one of the serious problems for air temperature determination on a large spatial scale. The remote sensing technique by covering large areas and using updated satellite images might be appropriate for estimati...
In the fifth development plan establishment, establishment of the Cadastre System of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. In this study, the possibility of provision of the Cadastral mapping of agriculture by a integration of the data of the remote sensing and ...
In recent years, rapid population growth has led to increase per capita water use in various sectors including agriculture and industry and a growing gap between water demand and water supply has emerged. Therefore, identifying and tracking changes in groundwater resources as an alternative and reliable source of surface water resources are so important to region located in the Middle East with...
soil surfaces in arid and semi-arid lands often lack photoautotrophic life but are covered by communities of soil surface covering organisms able to tolerate dehydration, and thus adapted to aridity. one important objective of multi-spectral remote sensing instruments is the detection of the optical characteristics of the earth’s surface using high spectral resolution bands. in this study aster...
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