Thia Prahesti, Nurhadi Bashit, Yasser Wahyuddin
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引用次数: 1

摘要

帕蒂摄政有60公里的海岸线和典型的泥泞海滩。帕蒂摄政的沿海社区非常依赖沿海和海洋产品,因此需要保护。沿海环境质量的下降可以通过观察红树林的优质植物来表明。帕蒂摄政政府定期种植红树林,以改善沿海环境的生活质量,但没有监督。利用遥感技术和GIS技术,研究了2017 - 2020年帕蒂县红树林植物密度变化与海岸线变化的关系。本研究采用基于NDWI水指数变换方法的遥感方法,从sentinel -2年影像中确定岸线。2017-2020年,利用DEMNAS和MSL进行MSL减少,然后利用DSAS地理信息系统进行处理,获得岸线变化(NSM)结果,以及用于绘制Pati reggency海岸红树林植被密度的土地覆盖和植被指数NDVI和GNDVI的指导分类。结果表明,帕蒂县海岸线的平均变化幅度增加了22260 m。帕蒂摄政海岸红树林面积的变化增加了86.634公顷。结果还表明,帕蒂县海岸红树林密度变化与海岸线变化的关系采用简单线性回归,决定系数(R2)为0.089,相关系数(R)为0.299。这些结果充分表明了相关性。通过计算F检验来确定红树林密度随海岸线变化的变化效果显著,红树林密度值越高,海岸线变化越有增加的趋势(增积)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALISIS PERUBAHAN KERAPATAN TANAMAN MANGROVE TERHADAP PERUBAHAN GARIS PANTAI DI KABUPATEN PATI DENGAN METODE PENGINDERAAN JAUH DAN APLIKASI DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS) TAHUN 2017-2020
Pati Regency has a coastline of 60 km with a characteristic muddy beach. The coastal community in Pati Regency is very dependent on coastal and marine products, so it needs to be preserved. A decrease in coastal environment quality can be indicated by looking at the mangrove of quality plants. The Government of Pati Regency carries out regular mangrove planting to improve the quality of life in the coastal environment, but there is no supervision. This study uses remote sensing technology and GIS to determine the relationship between changes in mangrove plant density and changes in coastlines in Pati Regency from 2017 to 2020. This study uses remote sensing methods using the NDWI water index transformation method to determine the shoreline from Sentinel-2-year image. 2017-2020, MSL reduction using DEMNAS and MSL, then processed with a Geographical Information System using DSAS to obtain the results of shoreline changes (NSM) as well as guided classifications for land cover and vegetation indexes NDVI and GNDVI which are used to map mangrove vegetation density on the coast of the Pati Regency. The results showed that the average change in the coastline in Pati Regency has increased by 22,260 m. Changes in the area of mangroves on the coast of Pati Regency have increased by 86.634 hectares. The results also showed that the relationship between changes in mangrove density and shoreline changes on the coast of Pati Regency used simple linear regression with the coefficient of determination (R2) of 0,089 and the correlation coefficient (R) of 0,299. These results indicate a correlation enough. The calculation of the F test to determine changes in mangrove density with changes in shoreline has a significant effect, so that if the value of mangrove density is higher, changes in shoreline will tend to increase (accretion).
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