基于归一化植被指数算法的Sentinel 2A Level 1C红树林密度变化分析(以Gresik Regency为例)

B. M. Sukojo, Debyana Nur Savitri
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引用次数: 1

摘要

红树林在沿海地区具有重要的生态和经济价值和作用。随着时间的推移,由于森林砍伐率高,印度尼西亚的红树林面积减少了。该地区减少的红树林之一是东爪哇北部海岸的红树林。因此,监测红树林树冠密度的变化是必要的,特别是在Gresik摄生区。红树林生态系统可以利用遥感技术进行识别。通过对2016-2019年Sentinel 2A level 1C卫星影像进行归一化植被指数(NDVI)算法计算,得到红树林冠层的密度水平。研究结果表明:2016 - 2019年Gresik Regency的优势红树林为密度较好的红树林,2016年占58.66%;2017年53.21%;2018年为45.22%,2019年为46.81%。2016 - 2019年Gresik摄取区红树林面积在2017年增加22.09%,2018年减少1.74%,2019年继续减少8.28%。对红树林冠层密度影响最大的参数是水体pH,相关系数为-0.733,表明红树林冠层密度与水体pH具有较强且显著的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Changes in Density of Mangrove Using Normalized Difference Vegetation Index Algorithm on Sentinel 2A Level 1C (Case Study: Gresik Regency)
Mangrove forests have important values and roles both ecologically and economically in coastal areas. Over time, the area of mangrove forests in Indonesia decreased due to high rates of deforestation. One of the mangrove forests that has decreased in the area is the mangrove forest on the North Coast of East Java. Therefore, monitoring of changes in the density of the mangrove canopy is needed, especially in Gresik Regency. Mangrove ecosystems can be identified using remote sensing technology. To get the density level of the mangrove canopy, it can be done by calculating the Normalized Difference Vegetation Index (NDVI) algorithm on the Sentinel 2A Level 1C satellite imagery in 2016–2019. Based on the results of the study, it was concluded that the dominant mangroves in Gresik Regency in 2016 to 2019 were mangroves with good density, which amounted to 58.66% in 2016; 53.21% in 2017; 45.22% in 2018, and 46.81% in 2019. Then, the mangrove area in Gresik Regency from 2016 to 2019 increased by 22.09% in 2017, then decreased by 1.74% in 2018 and continued to decrease by 8.28% in 2019. The most influential parameter for the density of mangrove canopy is the water pH with a correlation coefficient of -0.733 which shows that the density of mangroves canopy and the water pH has a strong and significant correlation.
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