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

机译:缅甸茵莱湖流域的土地利用和覆被变化及预测分析

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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:茵莱湖地区是缅甸最重要的集水区之一,位于东经96°46'-97°.09'和北纬20°05'-21°17'N之间,面积4354 49平方米。公里尽管该地区发生了显着变化,但茵莱湖对旅游景点的吸引力很高,并且自1996年以来已被列入联合国教科文组织世界遗产暂定清单。为了获得有关茵莱湖流域的自然环境动态和生态系统变化的信息,本研究旨在分析和讨论土地利用/土地覆盖率(LULC)的变化和即将到来的预测。使用Landsat 5和Landsat 8数据集对2005年,2010年和2015年的流域景观进行分类。农业地区,封闭森林,开阔森林,林地,水体,浮动花园,城市和裸地CA-Markov模型基于2005年,2010年LULC数据集的结果,预测了2015年和2025年的LULC变化和分布。分别在2005年和2015年的LULC数据集在2015年成功地生成了墙对墙的评估以预测LULC的分布,其结果可与2015年的LULC进行分类。基于多项式分布估算主题准确性评估的样本量采用分层随机抽样方案和757个点进行抽样,LULC分类图产生的总体准确性超过85%。基于2005-2010年的分类图像,对茵莱湖流域的LULC变化检测进行了评估。 2010-2015年以及2015年至2025年。执行变更检测矩阵以获得最终结果,这些结果可以为决策者,研究人员和地方政府机构提供有用的信息,以制定有效的决策计划

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