Muthupet红树林土地利用和土地覆盖变化的时间序列分析评估,1975-2015,印度塔米尔纳杜

Annaidasan Krishnan, Jaganathan Ramasamy
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引用次数: 0

摘要

人为活动导致自然土地覆盖的变化,对人类和环境等造成严重后果。本研究利用地理空间技术研究了1975年至2015年Muthupet红树林及其周围土地利用的变化。对Muthupet红树林的土地利用和土地覆盖进行了评估,该红树林位于Tamilnadu的三个沿海地区,即Thanjavur、Thiruvarur和Nagappattinam。采用遥感(MSS、TM和OLI)数据,借助视觉图像解释来探索土地利用和土地覆盖。该研究根据地面实况验证证明了结果的合理性,并选择了203个地点来探索10个土地利用类别。根据KAPPA指数对2015年的分类图像进行了准确度评估,并对1975年至2015年所有类别的土地利用变化检测进行了评估。研究表明,1975年至2015年的土地利用和土地覆盖状况,例如1975年的水体面积约为156.1平方公里,2015年为89.8平方公里。对土地利用和土地覆盖的评估清楚地表明,2005年整个土地利用和陆地覆盖发生了变化,其原因是海啸的影响。因此,Muthupet红树林是人类和环境的重要组成部分之一,本研究揭示了红树林的变化及其对沿海社区的影响。关键词:红树林;遥感;LULC;分类变更检测版权所有(c)2022 Geosfera Indonesia和詹伯大学地理教育系本作品根据知识共享署名共享类似4.0的国际许可证获得许可
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India
Anthropogenic activities are leads to changing a natural land cover, and consequences are severe to human and environments etc. The present study has examined the Muthupet mangrove forest and its surrounding land-use changes from 1975 to 2015 using the geospatial technology. An assessment of  land use  and land cover was done at Muthupet mangrove forest which is an occupied the three coastal district of Tamilnadu i.e. Thanjavur, Thiruvarur, and  Nagappattinam.  The remote sensing (MSS, TM, and OLI) data was adopted to explore the  land use and land cover with help of visual image interpretation.  The study had  justified the results based upon the ground truth verification, and 203 sites were selected for explore the 10 land use categories. An Accuracy Assessment has done based on the KAPPA index for the year 2015 classified image and appraisal of  land use change detection from 1975 to 2015 for all the categories.  The study revealed that the land use and land cover  condition from the 1975 to 2015, for example 1975 water bodies covered an area of about 156.1 km2, and 2015 it has comprised 89.8 km2. An appraisal of land use and land cover clearly is evidence in 2005 entire land use and land cover changed, and reasons for that an influence of the Tsunami.  Consequently, Muthupet mangrove forest is one of the important to human and environments, and the present study has exposed that the changes of the mangrove forest, and its impact on to the coastal community. Keywords : Mangrove Fores; Remote sensing; LULC; Classification; Change detection   Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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