干旱区生态环境知识资源中心(Arid): COST EFFECTIVE APPROACH FOR MAPPING PROSOPIS INVASION IN ARID SOUTH AFRICA USING SPOT-6 IMAGERY AND TWO MACHINE LEARNING CLASSIFIERS

Arid

	COST EFFECTIVE APPROACH FOR MAPPING PROSOPIS INVASION IN ARID SOUTH AFRICA USING SPOT-6 IMAGERY AND TWO MACHINE LEARNING CLASSIFIERS
	Mureriwa, N. F.; Adam, E.; Adelabu, S.
通讯作者	Mureriwa, NF (corresponding author), Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Private Bag X3, ZA-2050 Johannesburg, South Africa.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	JUL 28-AUG 02, 2019
会议地点	Yokohama, JAPAN
英文摘要	This study evaluates the use of SPOT-6 data in conjunction with two machine learning classifiers, namely, Random Forest (RF) and Support Vector Machines (SVM) to map Prosopis glandulosa, its co-existing acacia species and other land-cover types in an arid South African environment. This highly invasive species has been difficult to control using physical, chemical and biological methods because of insufficient knowledge of the species dynamic and lack of spatial data. Results show that it is possible to distinguish Prosopis glandulosa from coexisting Acacia karoo and Acacia mellifera as well as other general land cover types. Classification using SVM obtained a higher overall accuracy of 78.66% (Kappa of 0.7428) whilst RF obtained a lower classification accuracy of 69.93% (Kappa of 0.6331). The high accuracies obtained show the potential to map the invasive species spread on a large scale. This can assist monitoring and planning against future invasions.
英文关键词	Prosopis glandulosa Random Forest Support Vector Machines SPOT 6 Cost effectiveness
来源出版物	2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
ISSN	2153-6996
出版年	2019
页码	3724-3727
ISBN	978-1-5386-9154-0
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000519270603177
WOS关键词	BIOLOGICAL-CONTROL ; CLASSIFICATION ; MESQUITE ; FABACEAE
WOS类目	Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向	Geology ; Remote Sensing
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370105
作者单位	[Mureriwa, N. F.; Adam, E.] Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Private Bag X3, ZA-2050 Johannesburg, South Africa; [Adelabu, S.] Univ Free State, Dept Geog, QwaQwa Campus, Phuthaditjhaba, South Africa
推荐引用方式 GB/T 7714	Mureriwa, N. F.,Adam, E.,Adelabu, S.. COST EFFECTIVE APPROACH FOR MAPPING PROSOPIS INVASION IN ARID SOUTH AFRICA USING SPOT-6 IMAGERY AND TWO MACHINE LEARNING CLASSIFIERS[C]:IEEE,2019:3724-3727.