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Land Use and Land Cover Change and Prediction Analysis in Inle Lake Watershed, Myanmar

机译:土地利用和土地覆盖在缅甸湖流域中的预测分析

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Inle Lake region is one of the most important watershed area in Myanmar and is located between 96°46'-97° .09' E longitude and 20°05'-21°17'N Latitude, covered the area of 4354 49 sq. km. Even though the region has been changed significantly, Inle Lake has high attractive to tourist attraction and has included as tentative list for UNESCO world heritage sites since 1996 In order to obtain information about physical environment dynamic and ecosystem change in the Inle Lake watershed, this study aims to analyst and discuss Land Use/Land Cover (LULC) changes and imminent prediction. Landsat 5 and Landsat 8 datasets were used to classify the watershed landscape for 2005. 2010 and 2015.The classification included eight classes; agricultural area, closed forest, opened forest, wooded land, water body, floating garden, urban and bare land CA- Markov model was used to predict LULC change and distribution in 2015 and 2025 based on the result of LULC in 2005, 2010 datasets and LULC in 2005, 2015 datasets, respectively The wall to wall assessment was successfully generated in predicting LULC distribution, in 2015 and the results were comparable to the classification of LULC in 2015. Number of sample size for thematic accuracy assessment was estimated based on multinomial distribution with stratified random sampling scheme and 757 points were used for the sample size LULC classification maps produced overall accuracy of more than 85%. LULC change detection of Inle Lake watershed was assessed based on the classified images in 2005-2010. 2010-2015 and 2015 to 2025. The change detection matrix was performed to obtain the final results which can provide useful information for policy makers, researcher and local government agencies to create an effective decision plan
机译:Inle Lake Region是缅甸最重要的流域地区之一,位于96°46'-97°.09'e经度和20°05'-21°17'n纬度,覆盖了4354 49平方米的面积。 km。尽管该地区已经显著改变,茵莱湖具有较高吸引力的旅游景点,并列入为自1996年列入联合国教科文组织世界遗产为了获得关于物理环境的动态和生态系统变化的茵莱湖的信息初步清单分水岭,这项研究旨在分析师并讨论土地使用/陆地覆盖(LULC)变化和即将预测。 Landsat 5和Landsat 8数据集用于分类2005年的流域景观。2010年和2015年。分类包括八个课程;农业区,封山育林,森林开,林地,水体,空中花园,城市和裸地CA-马尔可夫模型用于基于LULC 2005年的结果来预测LULC变化和分布在2015年和2025年,2010个数据集和LULC在2005年,2015年数据集分别在预测LULC分布时成功地生成了墙壁评估,2015年,结果与2015年的LULC分类相当。基于多项分布估计主题准确性评估的样本量数具有分层随机采样方案,757个点用于样品尺寸LULC分类图产生的总精度超过85%。基于2005 - 2010年的分类图像评估了Inle Lake Shatershed的Lulc改变检测。 2010-2015和2015至2025.进行了更改检测矩阵,以获得最终结果,可以为决策者,研究人员和地方政府机构提供有用的信息,以创造一个有效的决策计划

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