干旱区生态环境知识资源中心(Arid): A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment

Arid

DOI	10.1016/j.isprsjprs.2020.04.011
	A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment
	Kolarik, Nicholas E.; Gaughan, Andrea E.; Stevens, Forrest R.; Pricope, Narcisa G.; Woodward, Kyle; Cassidy, Lin; Salerno, Jonathan; Hartter, Joel
通讯作者	Kolarik, NE
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN	0924-2716
EISSN	1872-8235
出版年	2020
卷号	164 页码:84-96
英文摘要	Unmanned Aerial Systems (UAS) represent an important niche platform for measuring vegetation health, structure, and productivity; metrics that directly inform sustainable conservation and development initiatives in rural African savannas. Products derived from UAS imagery have much finer spatial resolutions than traditional satellite or aircraft imagery, allowing the spectral and structural heterogeneity of vegetation to be mapped and monitored with more detail, an advantage especially useful for challenging environments such as dryland savannas. This study uses UAS-captured imagery to assess the efficacy of UAS for monitoring structural characteristics of vegetation in a mixed savanna woodland. The main objective was to compare multiple approaches for extracting woody vegetation structure from UAS imagery and assess correlations between in situ field measurements and UAS estimates. We compare different sensor types to determine whether multispectral data improve estimates of vegetation structure at the expense of spatial resolution. Results indicate that leveraging multispectral reflectance information, particularly in the near-infrared portion of the spectrum, aids in crown delineation, areal estimates, and fractional cover of woody and non-woody vegetation within the study area. We also compare two image segmentation techniques for crown delineation and found that all techniques perform best in grassy savanna sites where trees and shrubs are easily distinguishable. Overall, a region-growing technique consistently exhibits highest levels of agreement with in situ height and crown area measurements, while a simple height threshold is best for determining fractional coverage of structural classes present. Findings from this work contribute to the advancement for applying high spatial resolution, UAS-derived methods in remote sensing analyses with specific consideration towards autonomous crown delineation and resource management initiatives in dryland systems. Lastly, data-informed analyses, as presented here, provide robust scientific evidence that contribute to informing environmental management decisions when considering the use of UAS technology in conservation and wildlife management across Africa.
英文关键词	UAS SfM-MVS Vegetation Resource management Savanna Africa
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000535696600007
WOS关键词	WOODY VEGETATION ; SHRUB ENCROACHMENT ; LOXODONTA-AFRICANA ; FOREST CARBON ; TREE ; IMAGERY ; ECOSYSTEM ; AIRBORNE ; DYNAMICS ; COVER
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	Colorado State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324541
作者单位	[Kolarik, Nicholas E.; Gaughan, Andrea E.; Stevens, Forrest R.] Univ Louisville, Dept Geog & Geosci, 213 Lutz Hall, Louisville, KY 40292 USA; [Pricope, Narcisa G.; Woodward, Kyle] Univ North Carolina Wilmington, Dept Earth & Ocean Sci, 601 S Coll Rd, Wilmington, NC 28403 USA; [Cassidy, Lin] POB 233, Maun 00000, Ngamiland Distr, Botswana; [Salerno, Jonathan] Colorado State Univ, Dept Human Dimens Nat Resources, 1480 Campus Delivery, Ft Collins, CO 80523 USA; [Hartter, Joel] Univ Colorado, Environm Studies Program, 4001 Discovery Dr, Boulder, CO 80303 USA
推荐引用方式 GB/T 7714	Kolarik, Nicholas E.,Gaughan, Andrea E.,Stevens, Forrest R.,et al. A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment[J]. Colorado State University,2020,164:84-96.
APA	Kolarik, Nicholas E..,Gaughan, Andrea E..,Stevens, Forrest R..,Pricope, Narcisa G..,Woodward, Kyle.,...&Hartter, Joel.(2020).A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,164,84-96.
MLA	Kolarik, Nicholas E.,et al."A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 164(2020):84-96.