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首页> 美国卫生研究院文献>Saudi Journal of Biological Sciences >Remote sensing of 10 years changes in the vegetation cover of the northwestern coastal land of Red Sea Saudi Arabia
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Remote sensing of 10 years changes in the vegetation cover of the northwestern coastal land of Red Sea Saudi Arabia

机译：沙特阿拉伯红海西北沿海地陆地植被覆盖的遥感10年的变化

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Accurate and up to date land use and land cover (LU/LC) changes information is the main source to understanding and assessing the environmental outcomes of such changes and is important for development plans. Thus, this study quantified the outlines of land cover variation of 10-years in the northwestern costal land of the Red Sea, Saudi Arabia. Two different supervised classification algorithms are visualized and evaluated to preparing a policy recommendation for the proper improvements towards better determining the tendency and the proportion of the vegetation cover changes. Firstly, to determine present vegetation structure of study area, 78 stands with a size of 50 × 50 m were analysed. Secondly, to obtain the vegetation dynamics in this area, two satellite images of temporal data sets were used; therefore, SPOT-5 images were obtained in 2004 and 2013. For each data set, four SPOT-5 scenes were placed into approximately 250-km intervals to cover the northwestern coastal land of the Red Sea. Both supervised and non-supervised cataloguing methods were attained towards organise the study area in 4-major land cover classes through using 5 various organizations algorithms. Approximately 900 points were evenly distributed within each SPOT-5 image and used for assessment accuracy. The floristic composition exhibits high diversity with 142 species and seven vegetation types were identified after multivariate analysis (VG I: Acacia tortilis-Acacia ehrenbergiana, VG II: Acacia tortilis-Stipagrostis plumosa, VG III: Zygophyllum coccineum-Zygophyllum simplex, VG IV: Acacia raddiana-Lycium shawii-Anabasis setifera, VG V: Tamarix aucheriana-Juncus rigidus, VG VI: Capparis decidua-Zygophyllum simplex and VG VII: Avicennia marina-Aristida adscensionis) and ranged between halophytic vegetation on the coast to xerophytic vegetation with scattered Acacia trees inland. The dynamic results showed rapid, imbalanced variations arises between 3-land cover classes (areas as urban, vegetation and desert). However, these findings shall serve as the baseline data for the design of rehabilitation programs that conserve biodiversity in arid regions and form treasured resources for an urban planner and decision makers to device bearable usage of land and environmental planning.
机译：准确和最新的土地使用和陆地覆盖（LU / LC）变更信息是理解和评估此类变化环境结果的主要来源，对发展计划很重要。因此，本研究量化了沙特阿拉伯红海西北昂贵土地的土地覆盖变化纲要。可视化和评估两种不同的监督分类算法，以便为更好地确定植被覆盖变化的趋势和比例进行适当改进的政策建议。首先，为了确定研究区域的植被结构，分析了50×50米尺寸的78个展位。其次，为了获得该地区的植被动态，使用了两个卫星图像的时间数据集;因此，在2004年和2013年获得Spot-5图像。对于每个数据集，将四个Spot-5场景分为大约250公里的间隔，以覆盖红海的西北沿海地。通过使用5个各种组织算法来实现监督和未经监督的编目方法，通过使用5个各种组织算法来组织4个主要土地覆盖类别的研究区域。在每个Spot-5图像中，大约900个点均匀分布，并用于评估准确性。植物组成表现出高多样性，在多变量分析后鉴定了142种，七种植被类型（VG I：acacia Tortilis-acacia，VG II：Acacia Tortilis-stipagrostis Plumosa，VG III：Zygophyllum Cocineum-Zygophyllum Simplex，Vg IV：Acacia raddiana-lycium shawii-anabasis setifera，vg v：tamarix aucheriana-juncus rigidus，vg vi：capparis decidua-zygophyllum simplex和vg vii：avicennia marina-aristida adscensionis）和远程在海岸的嗜睡植被之间与散发的金合欢植被之间的烟道植被之间内陆。动态结果表明，3陆覆盖类（城市，植被和沙漠地区）之间出现了快速，不平衡的变化。但是，这些调查结果应作为基准数据，作为康复计划的设计，这些计划将有利于干旱地区的生物多样性，并为城市策划者和决策者形成珍贵的资源，以便设备可忍受的土地和环境规划。

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