Effects of the built-up index and land surface temperature on the mangrove area change along the southern Sumatra coast

IF 1.8 Q2 FORESTRY
Muhammad Rendana, Wan Mohd Razi Idris, S. Abdul Rahim, Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Jasem A. Albanai
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引用次数: 2

Abstract

Abstract Mangrove trees have a crucial role in providing habitat and breeding for various aquatic species and averting coastal erosion caused by strong waves, tidal surges, and storm surges. Currently, the mangrove area along the Sungsang coast in South Sumatra, Indonesia, has been degraded by human activities like agriculture, fish ponds, and other infrastructure developments. In this study, we used the normalized difference built-up index (NDBI), the normalized difference vegetation index (NDVI), and land surface temperature (LST) analysis for observing urban development and vegetation cover in the Sungsang mangrove area. This study aimed to analyze the effects of NDBI and NDVI on the LST change in the Sungsang mangrove area. Results revealed that the mangrove vegetation significantly reduced (by 23%) during 2013–2022 years, in contrast to the built-up development and the LST gradually increased. The area with a temperature value greater than 20 °C was characterized by mangrove degradation, expanding around the peripheral area. There was a strong positive correlation between LST and NDBI (r = 0.90, p < 0.01), and a moderate correlation between LST and NDVI (r = 0.74, p < 0.05). Thus, the built-up index greatly influenced the vegetation area within the study site. This study assists the authority in comprehending their recent mangrove status and promoting sustainable actions for mangrove vegetation and urban management.
建筑指数和地表温度对苏门答腊岛南部海岸红树林面积变化的影响
红树林在为各种水生物种提供栖息地和繁殖以及避免强浪、潮汐和风暴潮造成的海岸侵蚀方面发挥着至关重要的作用。目前,印度尼西亚南苏门答腊岛sunsang海岸的红树林已经因农业、鱼塘和其他基础设施建设等人类活动而退化。本研究采用归一化建筑指数(NDBI)、归一化植被指数(NDVI)和地表温度(LST)分析方法对松山红树林地区的城市发展和植被覆盖进行了观测。本研究旨在分析sunsang红树林地区NDBI和NDVI对地表温度变化的影响。结果表明,2013-2022年间,红树林植被显著减少(减少23%),地表温度逐渐升高;温度值大于20°C的区域以红树林退化为特征,并向周边扩展。LST与NDBI呈极显著正相关(r = 0.90, p < 0.01),与NDVI呈中度相关(r = 0.74, p < 0.05)。因此,建筑指数对研究场地内的植被面积影响很大。这项研究有助于当局了解其最近的红树林状况,并促进红树林植被和城市管理的可持续行动。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
0
审稿时长
21 weeks
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