干旱区生态环境知识资源中心(Arid): Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance

Arid

DOI	10.1016/j.pce.2019.01.004
	Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance
	Khadim, Fahad Khan 1; Su, Hongbo 2; Xu, Lina 3; Tian, Jing 4
通讯作者	Su, Hongbo
来源期刊	PHYSICS AND CHEMISTRY OF THE EARTH
ISSN	1474-7065
EISSN	1873-5193
出版年	2019
卷号	110 页码:31-50
英文摘要	Everglades National Park (ENP) is a hydro-ecologically enriched wetland with varying salinity contents, which is a concern for terrestrial ecosystem balance and its nearby urban sustainability. In this study, spatio-temporal soil salinity maps are created using remote sensing techniques, coupled with literature review to understand vegetation salt tolerance properties, and field assessments entailing insitu electric conductivity (EC) measurements. The mapping first entailed the execution of a supervised machine learning technique-the maximum likelihood classification algorithm-to delineate seven vegetation-based land cover classes for the area, namely, mangrove forest, mangrove scrub, low-density forest, sawgrass, prairies and marshes, barren lands with woodland hammock and water, for the years 1996, 2000, 2006, 2010 and 2015. The classifications for 1996-2010 yielded accuracies of 82%-94%, and the 2015 classification was supported through ground truthing. Afterwards, EC tolerance thresholds for each vegetation class were established, which yielded soil salinity maps comprising four soil salinity classes-i.e., the non- (EC = 0-2 dS/m), low- (EC = 2-4 dS/m) and high-saline (EC >= 4 dS/m) areas. The soil salinity maps visualized the spatial distribution of soil salinity with no significant temporal changes. Furthermore, insitu EC measurements carried out at 23 sampling sites covering all land cover classes mostly validated (91% samples were tested within range) the estimated soil salinity ranges for the latest distribution. The approach of using land cover classes to sense salinity ranges in an urban-proximal ecosystem is pragmatic and application oriented, attributing to novel and useful study upshots considering the diversifying ecological context.
英文关键词	Everglades national park Remote sensing Geographic information system Soil salinity mapping Land cover classification
类型	Article
语种	英语
国家	USA ; Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000468920500005
WOS关键词	AL HASSA OASIS ; RADAR BACKSCATTER ; MANGROVE ; FLORIDA ; METHODOLOGY ; ACCURACY ; PATTERNS ; WETLANDS ; FORESTS ; BIOMASS
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217958
作者单位	1.Univ Connecticut, Dept Civil & Environm Engn, 38 W Pk St, Willimantic, CT 06226 USA; 2.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33433 USA; 3.China Univ Geosci, Inst Geophys & Geomat, Wuhan, Hubei, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Khadim, Fahad Khan,Su, Hongbo,Xu, Lina,et al. Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance[J]. 中国科学院地理科学与资源研究所,2019,110:31-50.
APA	Khadim, Fahad Khan,Su, Hongbo,Xu, Lina,&Tian, Jing.(2019).Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance.PHYSICS AND CHEMISTRY OF THE EARTH,110,31-50.
MLA	Khadim, Fahad Khan,et al."Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance".PHYSICS AND CHEMISTRY OF THE EARTH 110(2019):31-50.