干旱区生态环境知识资源中心(Arid): An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis

Arid

DOI	10.1016/j.jaridenv.2020.104383
	An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis
	Bankert, Andrew R.; Strasser, Erin H.; Burch, Cristy G.; Correll, Maureen D.
通讯作者	Correll, MD (corresponding author), Bird Conservancy Rockies, Ft Collins, CO 80521 USA.
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2021
卷号	188
英文摘要	Methods: for quantifying vegetative cover across landscapes have, until recently, been limited to ground-based surveys or remote sensing via satellites or aircraft, both of which can limit the spatial scale of resulting data. Unmanned Aircraft Systems (UAS) can efficiently collect high-resolution sub-decimeter imagery of landscapes; geographic, object-based image analysis (GEOBIA) of the collected imagery can then be used to estimate vegetation cover. To date, few researchers have utilized open-source programs for GEOBIA. We developed GEOBIA methods in the open-source Program R to analyze visible spectrum UAS imagery from four sites in the Chihuahuan Desert of North America. These desert grasslands are difficult to quantify due to the patchiness of ground cover at small scales (e.g. <1 m) and the rarity of shrubs on the landscape. We used site-specific training data and multiple segmentation parameters to create vegetative and shrub cover data layers at a 15 cm resolution. We report overall accuracies of 77.2%-88.8% for vegetation classification and 95.7%-99.2% for shrub classification. Our work is some of the first to use open-source GEOBIA in grasslands and provides objective, reproducible data layers of desert vegetation, particularly shrubs, at the spatial scale necessary to inform management and conservation of Chihuahuan Desert grassland communities.
英文关键词	Object-based image analysis Vegetation mapping Unmanned aerial systems Grassland vegetation Automated image analysis Habitat quantification
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000632489900001
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350686
作者单位	[Bankert, Andrew R.; Strasser, Erin H.; Correll, Maureen D.] Bird Conservancy Rockies, Ft Collins, CO 80521 USA; [Burch, Cristy G.] Texas Pk & Wildlife, Medard, TX USA
推荐引用方式 GB/T 7714	Bankert, Andrew R.,Strasser, Erin H.,Burch, Cristy G.,et al. An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis[J],2021,188.
APA	Bankert, Andrew R.,Strasser, Erin H.,Burch, Cristy G.,&Correll, Maureen D..(2021).An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis.JOURNAL OF ARID ENVIRONMENTS,188.
MLA	Bankert, Andrew R.,et al."An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis".JOURNAL OF ARID ENVIRONMENTS 188(2021).