Spatio-Temporal Analysis Coastal Areas for Detection Mangrove Greenery Using Combined Mangrove Recognition Index

2022 International Seminar on Application for Technology of Information and Communication (iSemantic) Pub Date : 2022-09-17 DOI:10.1109/iSemantic55962.2022.9920392

Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra

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引用次数: 1

Abstract

Mangroves provide various purposes, including avoiding coastal erosion, acting as a water filter, and breeding grounds for marine animals. Mangrove forest areas have experienced a significant decline in crucial functions due to changes, such as the transition of forest areas into ponds, environmental pollution, and illegal logging. This research obtained data using Landsat 8 OLI imagery to detect Tanara Coast, Serang, Banten changes. Because of this problem, research was conducted using the extraction of the Combined Mangrove Recognition Index (CMRI) feature and the Support Vector Regressor (SVR) algorithm to measure what percentage of land changes occur in the mangrove forest area. The research took data from May 01 to August 01, 2019, with clipping as a preprocessing process. This research obtained the highest vegetation value of 0.974966, which means that from May 01 to August 01, mangrove forest vegetation is in good condition.

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基于红树林综合识别指数的沿海地区红树林绿化时空分析

红树林有多种用途，包括避免海岸侵蚀，充当水过滤器，以及海洋动物的繁殖地。由于林区向池塘转变、环境污染和非法采伐等变化，红树林的关键功能显著下降。本研究使用Landsat 8 OLI图像获得数据，以检测Tanara海岸，雪朗，万丹的变化。针对这一问题，利用红树林识别指数(CMRI)特征的提取和支持向量回归(SVR)算法来测量红树林区域发生土地变化的百分比。该研究采集了2019年5月1日至8月1日的数据，并进行了裁剪作为预处理过程。本研究得到的植被值最高，为0.974966，说明5月1日至8月1日红树林植被状况良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 International Seminar on Application for Technology of Information and Communication (iSemantic)

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