Timbulsloko和Bedono红树林物种优势区动态变化

Zahra Safira Aulia, Rudhi Pribadi, Muhammad Helmi
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引用次数: 0

摘要

Timbulsloko和Bedono村的红树林在减少该地区潮汐洪水和土地吸收造成的磨损方面具有非常重要的好处。通过非政府组织、学生、政府机构和当地居民的意识,大量的人种植红树林来恢复沿海地区红树林的功能。基于Sentinel-2卫星图像处理,确定2016年、2018年、2020年和2022年红树林面积和红树林优势区变化动态,并基于地理空间分析分析红树林面积和优势区变化动态。本研究采用的方法分为卫星影像数据处理和野外调查两种。结果表明:2016 - 2022年,Timbulsloko和Bedono红树林物种面积呈增加趋势;2016年,红树林面积为140.04公顷,2018年为159.57公顷,2020年为171.05公顷,2022年为234.8公顷。利用Sentinel 2卫星影像绘制红树林优势种分布图,总体精度为84.62%。红树林中面积最大的树种为滨海红木,其次为白红木、尖根红木和长尖红木。该地区红树林的增加是由于各方的红树林种植保护以及当地居民保护红树林的意识所造成的自然和人工添加。关键词:红树林;物种动态;海岸带
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of mangrove species dominant area changes in Timbulsloko and Bedono, Demak
Mangrove forests in Timbulsloko and Bedono villages have very important benefits in minimizing abrasion, due to tidal flooding and land absorption in this area. A large number of people have planted mangroves to restore the function of mangrove forests in coastal areas which conducted by NGOs, students, government agencies, and awareness from local residents. This study aimed to determine the dynamics of mangrove area and mangrove species dominant area changes in 2016, 2018, 2020 and 2022 based on Sentinel-2 Satellite Imagery processing, and to analyze the dynamic changes based on geospatial analysis. The method used in this study is divided into two: satellite imagery data processing and field survey. The result showed that the area of mangrove species in Timbulsloko and Bedono increased from 2016 to 2022. In 2016 the area of mangroves was 140.04 ha, 159.57 ha in 2018, 171.05 ha in 2020, and 234.8 ha in 2022. The use of Sentinel 2 Satellite Imagery to map the distribution of mangrove species dominant produce overall accuracy of 84.62%. The mangrove species with the highest area are Avicennia marina followed by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronate. The increase in this area of mangroves in this area is due to natural additions and artificial additions due to mangrove planting conservation by several parties and the awareness of the local residents to protect mangroves.Keywords:Mangrove SpeciesDynamicsCoastal AreaSentinel 2Remote Sensing
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