18 results with keyword: 'monitoring land cover changes remote sensing north egypt'
This work is protected against unauthorized copying under Title 17, United States C o d e M icroform Edition © ProQuest LLC.. ProQuest
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In this study, 11 land covers namely coastal swamp forest, dryland forest, oil palm, rubber, industry, cleared land, urban, coconut, bare land, sediment plumes and water have
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The embedded location platform delivers location and context information for industrial IoT applications. The unique embedded location platform consists of chips, modules,
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Many remote sensing techniques that have been used to estimate the land cover / land use for mapping and monitoring the distribution of rubber trees growth based on different remote
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We estimated forest area and carbon changes in the conterminous United States using a remote sensing based land cover change map, forest fire data from the Monitoring Trends in
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Analysis of Land Use/Land Cover Changes Using Remote Sensing Data in Dindigul District, Tamil Nadu, India.. Jismol S Pinakkattu 1
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Agricultural plantations changes into other category are built-up land, cropland, degraded forest, dense forest, fallow land, mining, salt affected land, and water bodies of about
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Key Words: aboveground net primary production, belowground net primary production, Century model, land use/land cover changes, remote sensing.. Research was partially funded by
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Remote sensing can contribute substantially to the monitoring and assessment of nitrogen surplus in agroecosystems, e.g., providing land cover and land use datasets
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Evaluation of land use/land cover changes in Mekelle City, Ethiopia using Remote Sensing and GIS.. Mary Tahir 1 , Ekwal Imam 2 , Tahir
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This study utilizes remote sensing techniques using Landsat images to generate land use/cover and surface temperature maps in order to evaluate the urban land use/cover changes
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Change Detection in Land use and Land cover Using Remote Sensing - A Case Study of Missouri Watershed James Sub-region, North Dakota, ND-SD 2011 Joint EPSCoR Conference, North
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Remote sensing images represent a valuable spatial and temporal information data source to monitor dynamics of land use/land cover (LULC) changes and predict
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Different dates o f remote sensing data can be used to detect the changes o f the area, land used or land cover [11,9,12] These changes might happened due to development,
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Keywords : land use, land cover, remote sensing, high resolution satellite image, IKONOS, object-..
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ecosystem monitoring, Google Earth Engine, image classification, IUCN Red List of Ecosystems, land cover mapping, Landsat Archive, remote sensing, satellite mapping... distribution
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In this study, supervised classi ¿ cation and post-classi ¿ cation change detection techniques were applied to Landsat images acquired in 1987 and 2015 to map LULC changes along
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Using the remote sensing data, the forest cover changes of the indigenous forest fragments between 1955 and 2004 were studied, the land-cover changes in the Taita Hills and
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