ANALISIS PERUBAHAN PENGGUNAAN LAHAN DAERAH TANGKAPAN AIR DANAU KERINCI (Land Use Change Analysis in The Kerinci Lake Catchment Area)

Putra Jupiardi, Y. Hidayat, Latief Rachman
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Abstract

Lake Kerinci is one of the 15 national priority lakes. In general, residents in this area carry out agricultural or plantation activities without applying conservation principles, resulting in a decrease in the carrying capacity of the Catchment Area (DTA). In addition, DTA Lake Kerinci has also experienced an increase in population, thus encouraging land-use changes. This study aims to analyze land-use changes in DTA Lake Kerinci. Analysis of land-use change analysis uses Landsat imagery 5 TM for 2009 and Landsat imagery 8 OLI-TIRS for 2019 using the guided classification method (Maximum Likelihood Classification/MLC). The accuracy of the image interpretation results is carried out through the Kappa accuracy test. Interpretation of land-use imagery and classification have relatively high accuracy with a kappa value of 78.67% (good) on land use in 2009, 83.30% (almost perfect) on land use in 2019, with an average Kappa Accuracy (KA) of 79.63%. Land-use changes in Lake Kerinci DTA for the 2009-2019 period experienced a significant increase in the area of dry agricultural land by 13% or 13,151.05 ha and a decrease in primary forest area by 6.76% or 6,834.13 ha.
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克里奇湖集水区土地利用变化分析
克里奇湖是15个国家重点湖泊之一。一般而言,区内居民在进行农业或种植活动时,并没有遵循保育原则,导致汇水区的承载力下降。此外,DTA Kerinci湖也经历了人口的增加,从而鼓励了土地利用的变化。本研究旨在分析干旱区克里奇湖的土地利用变化。土地利用变化分析采用2009年Landsat影像5 TM和2019年Landsat影像8 OLI-TIRS,采用最大似然分类(MLC)方法。通过Kappa精度测试对图像解译结果的精度进行检验。土地利用影像与分类解译精度较高,2009年土地利用kappa值为78.67%(良好),2019年土地利用kappa值为83.30%(近乎完美),平均kappa精度(KA)为79.63%。2009-2019年期间,凯里奇湖DTA土地利用变化表明,旱地面积增加13% (13,151.05 ha),原始森林面积减少6.76% (6,834.13 ha)。
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