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Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance
Khadim, Fahad Khan1; Su, Hongbo2; Xu, Lina3; Tian, Jing4
2019-04-01
Source PublicationPHYSICS AND CHEMISTRY OF THE EARTH
ISSN1474-7065
Volume110Pages:31-50
Corresponding AuthorSu, Hongbo(suh@fau.edu)
AbstractEverglades 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.
KeywordEverglades national park Remote sensing Geographic information system Soil salinity mapping Land cover classification
DOI10.1016/j.pce.2019.01.004
WOS KeywordAL HASSA OASIS ; RADAR BACKSCATTER ; MANGROVE ; FLORIDA ; METHODOLOGY ; ACCURACY ; PATTERNS ; WETLANDS ; FORESTS ; BIOMASS
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDA20010302] ; National Natural Science Foundation of China[41571356] ; Walter and Lalita Janke Innovations in Sustainability Science Research Fund of 2016, through Florida Center of Environmental Studies ; National High-tech R&D Program of China (863 Program)[2012AA121303]
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Walter and Lalita Janke Innovations in Sustainability Science Research Fund of 2016, through Florida Center of Environmental Studies ; National High-tech R&D Program of China (863 Program)
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000468920500005
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59486
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Hongbo
Affiliation1.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
Recommended Citation
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]. PHYSICS AND CHEMISTRY OF THE EARTH,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.
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