نتایج جستجو برای: barren land and forest to detect changes
تعداد نتایج: 18388419 فیلتر نتایج به سال:
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
nowadays the science of remote sensing and satellite data, constitute modern scientific tools,as they provide important information and make research easier in many scientific fields. this research articlepresents an integrated system for continuous monitoring of the vegetation and the human impact on the natura2000 protected areas of strofilia forest and kotychi lagoon (natura 2000 codes: gr 2...
Continual access to precise information about the land use/land cover (LULC) changes of the Earth’s surface is extremely important for any sustainable development program in which LULC serves as one of the major input criteria. In this study, a supervised classification was applied to three Landsat images collected in 1986, 1998and 2018, providing mangrove forests change data in the coastal are...
Abstract Urban heat island (UHI) is one of the environmental phenomenon which has made difficult environmental conditions for citizen. This study aims to evaluate the spatial and locational variability of Esfahan urban heat island according to the role of land use. Thus an area about 190.2 square kilometers (km2) in Esfahan, as the microclimate, was studied. In order to analyze the relations...
due to the importance of the role of land use changes on runoff changes, several studies have taken place to develop models with simulating land use changes. in this study, the l-thia model was used for estimating the runoff made by land use changes in chalousrud watershed. results of runoff modeling using l-thia model showed that runoff depth increased from 422.98mm to 809.168mm during 1984 to...
introduction land use change and climate change are the major concerns in the global environment. many environmental parameters affect the behavior of the earth’s climate system and its terrestrial components. effects of land use and land cover changes have direct influences on climate changes. now, climate change is known widely as a global health problem that has adverse impacts on natural an...
Land use land cover (LULC) has altered dramatically because of anthropogenic activities, particularly in places where climate change and population growth are severe. The geographic information system (GIS) remote sensing widely used techniques for monitoring LULC changes. This study aimed to assess the changes predict future trends Selangor, Malaysia. satellite images from 1991–2021 were class...
The increasing population in the developing countries has rendered wetlands vulnerable to land use changes. Remote sensing offers a rapid and efficient means of data acquisition of ecosystems in time and space. The present study was undertaken to identify changes in the Harike wetland, a Ramsar site in the state of Punjab, India; and identify causal factors, as well as vulnerable areas threaten...
Predicting land use change is an indispensable aspect in identifying the best development and management of land resources and their potential. This study used certified land-use maps of 1997, 2006, and 2015 combined with ancillary data such as road networks, water bodies and slopes, obtained from the Department of Agriculture and the Department of Surveying and Mapping in Malaysia, respectivel...
This study illustrates how remotely-sensed data and GIS can be utilized to evaluate the impacts of urbanization and land use on timberland availability. GIS coverages were developed for land use, population density, public or reserved lands, site productivity, and timber volume. Econometric models then were developed to estimate changes in land use and the resulting impacts on timber availabili...
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