Monitoring the Impacts of Severe Drought on Southern California Chaparral Species using Hyperspectral and Thermal Infrared Imagery

被引：38

作者：

Coates, Austin R. ^{[1
]}

Dennison, Philip E. ^{[1
]}

Roberts, Dar A. ^{[2
]}

Roth, Keely L. ^{[3
]}

机构：

[1] Univ Utah, Dept Geog, Salt Lake City, UT 84112 USA

[2] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA

[3] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA

来源：

REMOTE SENSING | 2015年 / 7卷 / 11期

关键词：

drought; hyperspectral remote sensing; thermal infrared remote sensing; vegetation; spectral mixture analysis; AVIRIS; MASTER; HyspIRI; SPECTRAL MIXTURE ANALYSIS; LAND-SURFACE TEMPERATURE; ENDMEMBER SELECTION; TREE MORTALITY; WATER-USE; VEGETATION; VULNERABILITY; INDEX; LEAF; DISCRIMINATION;

D O I：

10.3390/rs71114276

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Airborne hyperspectral and thermal infrared imagery acquired in 2013 and 2014, the second and third years of a severe drought in California, were used to assess drought impacts on dominant plant species. A relative green vegetation fraction (RGVF) calculated from 2013-2014 Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data using linear spectral unmixing revealed seasonal and multi-year changes relative to a pre-drought 2011 reference AVIRIS image. Deeply rooted tree species and tree species found in mesic areas showed the least change in RGVF. Coastal sage scrub species demonstrated the highest seasonal variability, as well as a longer-term decline in RGVF. Ceanothus species were apparently least well-adapted to long-term drought among chaparral species, showing persistent declines in RGVF over 2013 and 2014. Declining RGVF was associated with higher land surface temperature retrieved from MODIS-ASTER Airborne Simulator (MASTER) data. Combined collection of hyperspectral and thermal infrared imagery may offer new opportunities for mapping and monitoring drought impacts on ecosystems.

引用

页码：14276 / 14291

页数：16

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