应用高光谱图像评价森林健康的模糊多准则决策方法——以伊朗北部拉姆萨尔森林为例

IF 3.1 Q2 ENGINEERING, GEOLOGICAL

International Journal of Engineering and Geosciences Pub Date : 2022-02-03 DOI:10.26833/ijeg.940166

Behnam Khorrami, Khalil Valizadeh Kamran

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引用次数: 3

摘要

迄今为止，高光谱图像已广泛应用于监测和探测各种环境相关事项的变化。高光谱图像分析产生的地图显示了地形的物理和生态特征的空间分散。在本研究的范围内，利用地理信息系统(GIS)平台中的模糊- mcdm集成来绘制拉姆萨尔森林的健康状况。光谱指数可以为识别植被覆盖度提供不同的方法。森林健康分析采用NDWI、CRI1、PSRI、PRI等光谱指数

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A Fuzzy Multi-Criteria Decision-Making approach for the assessment of forest health applying Hyper Spectral Imagery: A case study from Ramsar forest, North of Iran.

The hyperspectral images have so far been widely utilized in monitoring and detecting the changes in a broad range of environmentally related matters. The hyperspectral image analysis yields maps that show spatial dispersion of physical and ecological characteristics of the terrain. Within the scope of the current study, an integrated Fuzzy-MCDM in a Geographic Information Systems (GIS) platform was used to map the health condition of Ramsar forest. Spectral indices can provide different methods for identifying vegetation coverings. For forest health analysis, spectral indices such as NDWI, CRI1, PSRI, PRI

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来源期刊

International Journal of Engineering and Geosciences ENGINEERING, GEOLOGICAL-

CiteScore

4.00

自引率

0.00%

发文量

审稿时长

30 weeks