首页> 外文会议>International Conference on Science and Technology - Computer >Spatial Habitat Suitability Modeling of the Roti Snake-Necked Turtle (Chelodina Mccordi) Based on Landsat-8 Imagery and GIS
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Spatial Habitat Suitability Modeling of the Roti Snake-Necked Turtle (Chelodina Mccordi) Based on Landsat-8 Imagery and GIS

机译:基于Landsat-8影像和GIS的蛇颈龟(Chelodina Mccordi)的空间栖息地适应性建模

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Landsat imagery can be used to establish spatial habitat suitability modeling for prediction habitat quality and evaluation potential habitat. However, the imagery has to limit information for specific habitat characteristics such as turtles' habitat. Chelodina mccordi is an endemic turtle from Roti Island but many previous studies have been done either biological or non-spatial studies. This study uses Landsat-8 OLI and TIRS as actual data and support with Landsat-5 TM as historical data, through a Geographic Information System (GIS). This study aims to create a spatial habitat suitability map model of C. mccordi and its mapping accuracy. The method that is used for modeling is overlaying indicative parameter maps use of logistic regression to presents the habitat suitability index (HSI). There are nine parameters used for modeling in this study, i.e. normalized difference water index (NDWI), land surface temperature (LST), slope, the topographic wetness index (TWI), distance from high canopy density, distance from settlement and agriculture, distance from freshwater, distance from the sea or salty, and distance from the street. We found three parameters that have strong contribution i.e. the NDWI, the LST, and the TWI. The result of spatial habitat suitability model of C. mccordi based on Landsat-8 OLI/TIRS and GIS analysis presents the value of mapping accuracy is about 75%.
机译:Landsat影像可用于建立空间栖息地适宜性模型,以预测栖息地质量并评估潜在栖息地。但是,图像必须限制特定栖息地特征(例如海龟的栖息地)的信息。 Chelodina mccordi是来自Roti Island的地方性海龟,但以前的许多研究已经进行了生物学或非空间研究。本研究通过地理信息系统(GIS),使用Landsat-8 OLI和TIRS作为实际数据,并使用Landsat-5 TM作为历史数据进行支持。这项研究旨在创建一个空间栖息地适合度地图模型的麦角藻及其映射的准确性。用于建模的方法是叠加使用逻辑回归的指示性参数图,以显示栖息地适宜性指数(HSI)。本研究中使用九个参数进行建模,即归一化差异水指数(NDWI),地表温度(LST),坡度,地形湿度指数(TWI),距高冠层密度的距离,距定居点和农业的距离,距离离淡水,与大海或咸水的距离以及与街道的距离。我们发现了三个有重要贡献的参数,即NDWI,LST和TWI。基于Landsat-8 OLI / TIRS和GIS分析的麦考迪空间生境适宜性模型的结果表明,测绘精度的值约为75%。

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