干旱区生态环境知识资源中心(Arid): Phenology-based classification of invasive annual grasses to the species level

Arid

DOI	10.1016/j.rse.2021.112568
	Phenology-based classification of invasive annual grasses to the species level
	Weisberg, Peter J.; Dilts, Thomas E.; Greenberg, Jonathan A.; Johnson, Kerri N.; Pai, Henry; Sladek, Chris; Kratt, Christopher; Tyler, Scott W.; Ready, Alice
通讯作者	Weisberg, PJ (corresponding author), Univ Nevada, Dept Nat Resources & Environm Sci, 1664 N Virginia St,Mail Stop 0186, Reno, NV 89557 USA.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2021
卷号	263
英文摘要	The ability to detect and map invasive plants to the species level, both at high resolution and over large extents, is essential for their targeted management. Yet development of such remote sensing methodology is challenged by the spectral and structural similarities among many invasive and native plant species. We developed a multi-temporal classification approach that uses unoccupied aerial vehicles (UAV) imagery to map two invasive annual grasses to the species level, and to distinguish these from key functional types of native vegetation, based upon differences in plant phenology. For a case study area in the western Great Basin, USA, we intentionally over-sampled with frequent (n = 8) UAV flights over the growing season. Using this information we compared the importance of spectral variation at a given point in time (i.e., with and without near-infrared wavelengths), with spectral variation across multiple time periods. We found that differences in species phenology allowed for accurate classification of nine cover types, including the two annual grass species of interest, using just three dates of imagery that captured species-specific differences in the timing of active growth, seed head production, and senescence. Availability of near-infrared imagery proved less important than true-color RGB imagery collected at appropriate time periods. Thus, multi-temporal information provides a substitute for more extensive spectral information obtained from a single point in time. The substitution of temporal for spectral information is particularly well suited to UAV remote sensing, where the timing of image collection can be flexible. The datasets arising from our multi-temporal classification approach provide high-resolution information for modeling patterns of invasive plant spread, for quantifying plant invasion risk, and for early detection of novel plant invasions when patch sizes are still small. Widespread application and up-scaling of our approach requires advances in our ability to model the variability in phenology that occurs across years and over fine spatial scales, even within a single species.
英文关键词	Medusahead Taeniatherum caput-medusae Cheatgrass Bromus tectorum Weed detection Invasive plants UAS Multi-temporal classification Plant phenology
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000702738400003
WOS关键词	PERCENT COVER ; RANDOM FOREST ; TIME-SERIES ; PLANT ; CHEATGRASS ; MANAGEMENT ; LANDSCAPE ; THREATS ; DESERT
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	University of California, Berkeley
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368448
作者单位	[Weisberg, Peter J.; Dilts, Thomas E.; Greenberg, Jonathan A.; Ready, Alice] Univ Nevada, Dept Nat Resources & Environm Sci, 1664 N Virginia St,Mail Stop 0186, Reno, NV 89557 USA; [Johnson, Kerri N.; Pai, Henry; Sladek, Chris; Kratt, Christopher; Tyler, Scott W.] Univ Nevada, Dept Geol Sci & Engn, 1664 N Virginia St,Mail Stop 0172, Reno, NV 89557 USA; [Johnson, Kerri N.] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA; [Pai, Henry] NOAA, Northwest River Forecast Ctr, Portland, OR USA
推荐引用方式 GB/T 7714	Weisberg, Peter J.,Dilts, Thomas E.,Greenberg, Jonathan A.,et al. Phenology-based classification of invasive annual grasses to the species level[J]. University of California, Berkeley,2021,263.
APA	Weisberg, Peter J..,Dilts, Thomas E..,Greenberg, Jonathan A..,Johnson, Kerri N..,Pai, Henry.,...&Ready, Alice.(2021).Phenology-based classification of invasive annual grasses to the species level.REMOTE SENSING OF ENVIRONMENT,263.
MLA	Weisberg, Peter J.,et al."Phenology-based classification of invasive annual grasses to the species level".REMOTE SENSING OF ENVIRONMENT 263(2021).