Arid
DOI10.1016/j.rse.2013.01.008
Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA)
Thorp, K. R.1; French, A. N.1; Rango, A.2
通讯作者Thorp, K. R.
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2013
卷号132页码:120-130
英文摘要

Encroachment of invasive shrubs into grassland areas on rangelands in the southwestern United States threatens the viability of livestock production and can severely alter hydrology and biodiversity. Novel remote sensing technologies may provide useful information for monitoring and remediating this threat. The objectives were to investigate multiple endmember spectral mixture analysis (MESMA) as an approach to map rangeland vegetation using hyperspectral remote sensing imagery and to test the sensitivity of MESMA to alternative image spatial resolutions and spectral waveband combinations. Data from two Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) overflights at the Jornada Experimental Range in southwestern New Mexico were used in the analysis. Endmember spectra were selected from a library of ground-based spectral observations collected with a field spectroradiometer. A 4-endmember MESMA was conducted for both AVIRIS images at their native spatial resolutions using 113 10-nm wavebands from 422 to 2339 nm. Additional MESMAs were conducted at 10 multiples of the images’ native spatial resolution and for 6 alternative combinations of spectral waveband subregions. Maps of endmember fractional cover for green shrub vegetation, nonphotosynthetic grass vegetation, and bare soil were comparable to an earlier vegetation classification map of Jornada. MESMA fractional cover estimates for the green vegetation endmember were positively correlated with the normalized difference vegetation index (NDVI) with correlation coefficients (r) greater than 0.58. Correlation coefficients between the sum of the green and nonphotosynthetic vegetation endmembers and the cellulose absorption index (CAI) were greater than 0.59. Correlation coefficients between MESMA fractional green vegetation cover and NDVI from independent multispectral images were greater than 0.57. Despite losses in spatial detail at coarser image spatial resolutions, MESMA results for images with spatial resolution degraded by a factor of 10 (similar to 150 m) were similar to aggregated results for MESMA at the native spatial resolution (similar to 15 m). Additionally, MESMA results were shown to be substantially more sensitive to the spectral wavebands used in the analysis as compared to the spatial resolution of the images. Considered together, the MESMA results at Jornada indicated that fine spectral resolution with hyperspectral remote sensing was substantially more important than incremental changes in image spatial scale from 15 m to 150 m. Published by Elsevier Inc.


英文关键词AVIRIS CAI Creosote Grass Hyperspectral HyspIRI Imaging spectroscopy Mesquite NDVI Nonphotosynthetic Spatial scale Spectra
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000316831400010
WOS关键词JORNADA ; VALIDATION ; COVER ; INDEX ; SOIL
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构New Mexico State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/179732
作者单位1.USDA ARS, US Arid Land Agr Res Ctr, Maricopa, AZ 85138 USA;
2.New Mexico State Univ, USDA ARS, Las Cruces, NM 88003 USA
推荐引用方式
GB/T 7714
Thorp, K. R.,French, A. N.,Rango, A.. Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA)[J]. New Mexico State University,2013,132:120-130.
APA Thorp, K. R.,French, A. N.,&Rango, A..(2013).Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA).REMOTE SENSING OF ENVIRONMENT,132,120-130.
MLA Thorp, K. R.,et al."Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA)".REMOTE SENSING OF ENVIRONMENT 132(2013):120-130.
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