Mangrove Species Mapping in Kuala Sepetang Mangrove Forest, Perak using High Resolution Airborne Data

机译：霹雳州瓜拉Sepetang红树林的红树林物种定位，使用高分辨率机载数据

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Mangrove vegetation is widely employed and studied as it is a unique ecosystem which is able to provide plenty of goods and applications to our country. In this paper, high resolution airborne image data obtained the flight mission on Kuala Sepetang Mangrove Forest Reserve, Perak, Malaysia will be used for mangrove species mapping. Supervised classification using the retrieved surface reflectance will be performed to classify the airborne data using Geomatica 2013 software package. The ground truth data will be used to validate the classification accuracy. High correlation of R~2=0.873 was achieved in this study indicate that high resolution airborne data is reliable and suitable used for mangrove species mapping.

机译：红树林植被是一种独特的生态系统，能够为我国提供大量的商品和应用，因此已被广泛采用和研究。本文将在马来西亚霹雳州瓜拉Sepetang红树林保护区获得飞行任务的高分辨率机载图像数据用于红树林物种制图。将使用Geomatica 2013软件包使用检索到的表面反射率进行监督分类，以对航空数据进行分类。地面真相数据将用于验证分类准确性。这项研究获得了较高的R〜2 = 0.873的相关性，表明高分辨率的机载数据是可靠的，适合用于红树林物种作图。

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《Conference on remote sensing for agriculture, ecosystems, and hydrology》|2015年|96370E.1-96370E.8|共8页
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B. C. Beh; M.Z. MatJafri; H. S. Lim;
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Mangrove vegetation; airborne data; Kuala Sepetang Mangrove Forest Reserve; mangrove species mapping; retrieved surface reflectance; Geomatica 2013 software package;

机译：红树林植被;机载数据;瓜拉Sepetang红树林保护区;红树林物种分布图;取回的表面反射率; Geomatica 2013软件包;

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专利

1. Applicability of RapidEye Satellite Imagery in Mapping Mangrove Vegetation Species at Matang Mangrove Forest Reserve, Perak, Malaysia [J] . M.A. Roslani, M.A. Mustapha, T. Lihan, Journal of Environmental Science and Technology . 2014,第2期

机译：RapidEye卫星影像在马来西亚霹雳州Matang红树林森林保护区的红树林植被物种制图中的适用性
2. Mapping the distribution of mangrove species in the Core Zone of Mai Po Marshes Nature Reserve, Hong Kong, using hyperspectral data and high-resolution data [J] . MingmingJia, Yuanzhi Zhang, Zongming Wang, International journal of applied earth observation and geoinformation . 2014,第Null期

机译：利用高光谱数据和高分辨率数据绘制香港米埔沼泽自然保护区核心区的红树林物种分布图
3. Separating Mangrove Species and Conditions Using Laboratory Hyperspectral Data: A Case Study of a Degraded Mangrove Forest of the Mexican Pacific [J] . Chunhua Zhang, Francisco Flores-de-Santiago, Francisco Flores-Verdugo, Remote Sensing . 2014,第12期

机译：利用实验室高光谱数据分离红树林物种和条件：以墨西哥太平洋退化的红树林为例
4. Mangrove Species Mapping in Kuala Sepetang Mangrove Forest, Perak using High Resolution Airborne Data [C] . B. C. Beh, M.Z. MatJafri, H. S. Lim Conference on remote sensing for agriculture, ecosystems, and hydrology . 2015

机译：红树林在吉尔瓦Sepetang美洲红树森林中映射，霹雳州使用高分辨率空气传播数据
5. Mapping Mangroves: New Integrated Spectral Protocol for Rapid Mangrove Identification Using Machine Learning [D] . Singh, Rishi S. J. 2018

机译：映射红树林：使用机器学习快速识别红树林的新集成光谱协议
6. Mapping Mangrove Forests of Dongzhaigang Nature Reserve in China Using Landsat 8 and Radarsat-2 Polarimetric SAR Data [O] . Jianing Zhen, Jingjuan Liao, Guozhuang Shen 2018

机译：利用Landsat 8和Radarsat-2极化SAR数据绘制中国东寨港自然保护区的红树林。
7. Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak [O] . Beh Boon Chun 2016

机译：霹雳州瓜拉Sepetang红树林保护区的红树林物种制图的表面反射率和判别分析

Mangrove Species Mapping in Kuala Sepetang Mangrove Forest, Perak using High Resolution Airborne Data

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