Mapping the invasive palm species Arenga obtusifolia using multiple endmember spectral mixture analysis (MESMA) and PRISMA hyperspectral data in Ujung Kulon National Park, Indonesia

被引:1
|
作者
Damarjati, Safri [1 ]
Nugraha, Wahyu Ananta [2 ]
Arjasakusuma, Sanjiwana [1 ]
机构
[1] Univ Gadjah Mada, Fac Geog, Dept Geog Informat Sci, Yogyakarta, Indonesia
[2] Univ Gadjah Mada, Fac Geog, Dept Geog Informat Sci, Master Program Remote Sensing, Yogyakarta, Indonesia
关键词
PRISMA; Hyperspectral; MESMA; Arenga obtusifolia; Invasive Species; RHINOCEROS RHINOCEROS-SONDAICUS; SELECTION; PLANT; VARIABILITY; IMAGERY;
D O I
10.1080/10106049.2022.2138981
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Arenga obtusifolia or "langkap" is an invasive palm that interferes with the growth of native vegetation in Ujung Kulon National Park. This study aims to map A. obtusifolia distribution in Ujung Kulon using PRISMA hyperspectral imagery and MESMA (Multiple Endmember Spectral Mixture Analysis). 38 spectra samples for the A. obtusifolia, sand, wetland vegetation and other vegetation were collected, and optimized using the IES (Iterative Endmember Selection), Multiple Signal Classification (MUSIC) and Automated MUsic and Spectral Separability based Endmember Selection (AMUSES) algorithms. Here, different schemes of MESMA were tested by using spectral weighting (SPEC) and stable zone unmixing (STABLE). Our results demonstrated that MESMA and PRISMA data was able to identify A. obtusifolia with the accuracy ranging from 55.36 (AMUSES-STABLE) to 83.93% (MUSIC-STABLE). Our results indicated the potential of MESMA and PRISMA hyperspectral data using optimized spectra from MUSIC and stable zone unmixing for mapping invasive A. obtusifolia.
引用
收藏
页码:18254 / 18274
页数:21
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