Paper
8 November 2014 Integration of remote sensing (RS) and geographic information system (GIS) techniques for change detection of the land use and land cover (LULC) for soil management in the southern Port Said region, Egypt
Author Affiliations +
Proceedings Volume 9260, Land Surface Remote Sensing II; 926032 (2014) https://doi.org/10.1117/12.2068833
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
The monitoring of land use/land cover (LULC) changes in southern Port Said region area is very important for the planner of managements, governmental and non-governmental organizations, decision makers and the scientific community. This information is essential for planning and implementing policies to optimize the use of natural resources and accommodate development whilst minimizing the impact on the environment. To monitor these changes in the study area, two sets of satellite images (Landsat TM-5 and ETM+7) data were used with Path/Row (175/38) in date 1986 and 2006, respectively. The Landsat TM and ETM data are useful for this type of study due to its high spatial resolution, spectral resolution and low repetitive acquisition (16 days). A postclassification technique is used in this study based on hybrid classification (Unsupervised and Supervised). Each method used was assessed, and checked in field. Eight to Twelve LULC classes are recognized and mapping produced. The soils in southern Port Said area were classification in two orders for soil taxonomic units, which are Entisols and Aridisols and four sub-orders classes. The study land was evaluated into five classes from non suitable (N) to very highly suitable (S1) for some crops in the southern region of Port Said studied soils, with assess the nature of future change following construction of the international coastal road which crosses near to the study area.
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Mohamed Abd El Rehim Abd El Aziz Hassan "Integration of remote sensing (RS) and geographic information system (GIS) techniques for change detection of the land use and land cover (LULC) for soil management in the southern Port Said region, Egypt", Proc. SPIE 9260, Land Surface Remote Sensing II, 926032 (8 November 2014); https://doi.org/10.1117/12.2068833
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KEYWORDS
Remote sensing

Soil science

Earth observing sensors

Vegetation

Geographic information systems

Landsat

Satellites

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