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首页> 外文会议>Conference on land surface remote sensing >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 Southern Port Said region, Egypt
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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 Southern Port Said region, Egypt

机译：集成遥感（RS）和地理信息系统（GIS）技术以检测南部塞得港南部地区用于土壤管理的土地利用和土地覆被（LULC）的变化

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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 post-classification 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 (S_1) 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.
机译：对塞得港南部地区的土地利用/土地覆被（LULC）变化进行监控，对于管理人员，政府和非政府组织，决策者以及科学界的规划者来说非常重要。这些信息对于规划和实施优化自然资源利用和适应发展同时将对环境的影响最小化的政策至关重要。为了监视研究区域中的这些变化，分别在1986年和2006年使用了路径/行（175/38）的两组卫星图像（Landsat TM-5和ETM + 7）数据。由于Landsat TM和ETM数据的高空间分辨率，光谱分辨率和低重复性采集（16天），因此可用于此类研究。在这项研究中，基于混合分类（无监督和监督），使用了后分类技术。评估所使用的每种方法，并在现场进行检查。识别了八到十二个LULC类，并生成了映射。塞得港南部地区的土壤按土壤生物分类单位分为两个级别，分别是恩替索斯和阿里迪索斯，以及四个子阶次类别。对于塞得港南部地区的某些农作物，研究用地从不适合（N）到非常适合（S_1）分为五类，并评估了穿越国际滨海道路建设后未来变化的性质靠近研究区域。

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