{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T20:59:36Z","timestamp":1780088376559,"version":"3.54.0"},"reference-count":173,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T00:00:00Z","timestamp":1528329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008895","name":"Tertiary Education Trust Fund","doi-asserted-by":"publisher","award":["DC0255553"],"award-info":[{"award-number":["DC0255553"]}],"id":[{"id":"10.13039\/501100008895","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Biodiversity loss remains a global challenge despite international commitment to the United Nations Convention on Biodiversity. Biodiversity monitoring methods are often limited in their geographical coverage or thematic content. Furthermore, remote sensing-based integrated monitoring methods mostly attempt to determine species diversity from habitat heterogeneity somewhat reflected in the spectral diversity of the image used. Up to date, there has been no standardized method for monitoring biodiversity against the backdrop of ecosystem or environmental pressures. This study presents a new method for monitoring the impact of oil pollution an environmental pressure on biodiversity at regional scale and presents a case study in the Niger delta region of Nigeria. It integrates satellite remote sensing and field data to develop a set of spectral metrics for biodiversity monitoring. Using vascular plants of various lifeforms observed on polluted and unpolluted (control) locations, as surrogates for biodiversity, the normalized difference vegetation vigour index (NDVVI) variants were estimated from Hyperion wavelengths sensitive to petroleum hydrocarbons and evaluated for potential use in biodiversity monitoring schemes. The NDVVI ranges from 0 to 1 and stems from the presupposition that increasing chlorophyll absorption in the green vegetation can be used as a predictor to model vascular plant species diversity. The performances of NDVVI variants were compared to traditional narrowband vegetation indices (NBVIs). The results show strong links between vascular plant species diversity and primary productivity of vegetation quantified by the chlorophyll content, vegetation vigour and abundance. An NDVVI-based model gave much more accurate predictions of species diversity than traditional NBVIs (R-squared and prediction square error (PSE) respectively for Shannon\u2019s diversity = 0.54 and 0.69 for NDVVIs and 0.14 and 0.9 for NBVIs). We conclude that NDVVI is a superior remote sensing index for monitoring biodiversity indicators in oil-polluted areas than traditional NBVIs.<\/jats:p>","DOI":"10.3390\/rs10060897","type":"journal-article","created":{"date-parts":[[2018,6,8]],"date-time":"2018-06-08T03:13:18Z","timestamp":1528427598000},"page":"897","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9929-3266","authenticated-orcid":false,"given":"Nkeiruka Nneti","family":"Onyia","sequence":"first","affiliation":[{"name":"School of Geography, Geology and Environment, University of Leicester, University Road, Leicester LE1 7RH, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9053-4684","authenticated-orcid":false,"given":"Heiko","family":"Balzter","sequence":"additional","affiliation":[{"name":"School of Geography, Geology and Environment, University of Leicester, University Road, Leicester LE1 7RH, UK"},{"name":"National Centre for Earth Observation, University of Leicester, University Road, Leicester LE1 7RH, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9198-9277","authenticated-orcid":false,"given":"Juan-Carlos","family":"Berrio","sequence":"additional","affiliation":[{"name":"School of Geography, Geology and Environment, University of Leicester, University Road, Leicester LE1 7RH, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,7]]},"reference":[{"key":"ref_1","unstructured":"(2015, January 24). Global Issues: Why Is Biodiversity Important? Who Cares?. Available online: http:\/\/www.globalissues.org\/article\/170\/why-is-biodiversity-important-who-cares."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1038\/nature11118","article-title":"A global synthesis reveals biodiversity loss as a major driver of ecosystem change","volume":"486","author":"Hooper","year":"2012","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"572","DOI":"10.3732\/ajb.1000364","article-title":"The functional role of producer diversity in ecosystems","volume":"98","author":"Cardinale","year":"2011","journal-title":"Am. J. Bot."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/nature11148","article-title":"Biodiversity loss and its impact on humanity","volume":"486","author":"Cardinale","year":"2012","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s10980-014-0137-5","article-title":"How to Integrate Remotely Sensed Data and Biodiversity for Ecosystem Assessments at Landscape Scale","volume":"30","author":"Vihervaara","year":"2014","journal-title":"Landsc. Ecol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.tree.2011.08.006","article-title":"Biodiversity and Ecosytem Services: A Multi-Layered Relationship","volume":"27","author":"Mace","year":"2012","journal-title":"Trends Ecol. Evol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1098\/rstb.2011.0176","article-title":"Biodiversity in the Context of Ecosystem Services: The Applied Need for Systems Approaches","volume":"367","author":"Norris","year":"2012","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1146\/annurev.ecolsys.30.1.257","article-title":"The Relationship between Productivity and Species Richness","volume":"30","author":"Waide","year":"1999","journal-title":"Annu. Rev. Ecol. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1038\/35012241","article-title":"Consequences of Changing Biodiversity","volume":"405","author":"Chapin","year":"2000","journal-title":"Nature"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.baae.2014.09.004","article-title":"A framework to identify enabling and urgent actions for the 2020 Aichi Targets","volume":"15","author":"Marques","year":"2014","journal-title":"Basic Appl. Ecol."},{"key":"ref_11","unstructured":"(2018, February 20). Strategic Plan for Biodiversity 2011\u20132020. Available online: https:\/\/www.cbd.int\/sp\/default.shtml."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1098\/rspb.1998.0383","article-title":"Contemporary Environmental Correlates of Endemic Bird Areas Derived from Meteorological Satellite Sensors","volume":"265","author":"Johnson","year":"1998","journal-title":"Proc. Biol. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1080\/01431160117096","article-title":"Using Remote Sensing to Assess Biodiversity","volume":"22","author":"Nagendra","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1007\/s10021-007-9041-z","article-title":"Hyperspectral Remote Sensing of Canopy Biodiversity in Hawaiian Lowland Rainforests","volume":"10","author":"Carlson","year":"2007","journal-title":"Ecosystems"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1614\/WS-09-012.1","article-title":"Detecting an Invasive Shrub in Deciduous Forest Understories Using Remote Sensing","volume":"57","author":"Wilfong","year":"2009","journal-title":"Weed Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1046\/j.1365-2699.2003.00887.x","article-title":"Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing","volume":"30","author":"Foody","year":"2003","journal-title":"J. Biogeogr."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/S0169-5347(01)02205-4","article-title":"Monitoring of Biological Diversity in Space and Time","volume":"16","author":"Yoccoz","year":"2001","journal-title":"Trends Ecol. Evol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0169-5347(03)00071-5","article-title":"From space to species: Ecological applications for remote sensing","volume":"18","author":"Kerr","year":"2003","journal-title":"Trends Ecol. Evol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1016\/j.rse.2008.01.003","article-title":"Earth Observations for Terrestrial Biodiversity and Ecosystems","volume":"112","author":"Muchoney","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.biocon.2010.02.013","article-title":"The Science and Application of Ecological Monitoring","volume":"143","author":"Lindenmayer","year":"2010","journal-title":"Biol. Conserv."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Han, X., Smyth, R.L., Young, B.E., Brooks, T.M., S\u00e1nchez de Lozada, A., Bubb, P., Butchart, S.H.M., Larsen, F.W., Hamilton, H., and Hansen, M.C. (2014). A Biodiversity Indicators Dashboard: Addressing Challenges to Monitoring Progress towards the Aichi Biodiversity Targets Using Disaggregated Global Data. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0112046"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1126\/science.1229931","article-title":"Essential Biodiversity Variables","volume":"339","author":"Pereira","year":"2013","journal-title":"Science"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1007\/s10531-017-1479-5","article-title":"Essential biodiversity variables are not global","volume":"27","year":"2018","journal-title":"Biodivers. Conserv."},{"key":"ref_24","unstructured":"Group on Earth Observations Biodiversity Observation Network (GEO BON) (2011). Adequacy of Biodiversity Observation Systems to Support the CBD 2020 Targets, GEO BON."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1111\/brv.12332","article-title":"A suite of essential biodiversity variables for detecting critical biodiversity change","volume":"93","author":"Schmeller","year":"2018","journal-title":"Biol. Rev."},{"key":"ref_26","unstructured":"(2016, March 26). Global Biodiversity Information Facility (GBIF). Available online: http:\/\/www.gbif.org\/."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.cosust.2011.12.005","article-title":"Building a Global Observing System for Biodiversity","volume":"4","author":"Scholes","year":"2012","journal-title":"Curr. Opin. Environ. Sustain."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3169","DOI":"10.1080\/01431160110104647","article-title":"Derivation of the red edge index using the MERIS standard band setting","volume":"23","author":"Clevers","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1177\/0309133314528942","article-title":"Potential Contributions of Remote Sensing to Ecosystem Service Assessments","volume":"38","author":"Andrew","year":"2014","journal-title":"Prog. Phys. Geogr."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.rse.2010.10.006","article-title":"Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT\/VEGETATION time-series","volume":"115","author":"Guyon","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1912","DOI":"10.1016\/j.rse.2007.02.043","article-title":"Remote sensing of native and invasive species in Hawaiian forests","volume":"112","author":"Asner","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1890\/1051-0761(2000)010[1861:RSOVPS]2.0.CO;2","article-title":"Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots","volume":"10","author":"Gould","year":"2000","journal-title":"Ecol. Appl."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ecoinf.2014.10.006","article-title":"Advancing species diversity estimate by remotely sensed proxies: A conceptual review","volume":"25","author":"Rocchini","year":"2015","journal-title":"Ecol. Inform."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3475","DOI":"10.1002\/ece3.2876","article-title":"Correlating species and spectral diversities using hyperspectral remote sensing in early-successional fields","volume":"7","author":"Aneece","year":"2017","journal-title":"Ecol. Evol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1109\/TGRS.2004.827257","article-title":"A relative evaluation of multiclass image classification by support vector machines","volume":"42","author":"Foody","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1890\/13-1824.1","article-title":"Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy","volume":"24","author":"Asner","year":"2014","journal-title":"Ecol. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1111\/j.1469-8137.2010.03549.x","article-title":"Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest","volume":"189","author":"Asner","year":"2011","journal-title":"New Phytol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1890\/08-0023.1","article-title":"Leaf chemical and spectral diversity in Australian tropical forests","volume":"19","author":"Asner","year":"2009","journal-title":"Ecol. Appl."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhang, B. (2010, January 14\u201316). Hyperspectral remote sensing of vegetation growing condition and regional environment. Proceedings of the 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Reykjavik, Iceland.","DOI":"10.1109\/WHISPERS.2010.5594859"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0034-4257(89)90069-2","article-title":"Remote sensing of foliar chemistry","volume":"30","author":"Curran","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/0034-4257(95)00238-3","article-title":"Estimating leaf biochemistry using the PROSPECT leaf optical properties model","volume":"56","author":"Jacquemoud","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Thenkabail, P. (2011). Hyperspectral Remote Sensing of Vegetation, Taylor & Francis.","DOI":"10.1201\/b11222-41"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.apgeog.2014.07.002","article-title":"Land Surface Dynamics and Environmental Challenges of the Niger Delta, Africa: Remote Sensing- Based Analyses Spanning Three Decades (1986\u20132013)","volume":"53","author":"Kuenzer","year":"2014","journal-title":"Appl. Geogr."},{"key":"ref_44","unstructured":"(2014, April 11). Biodiversity. Available online: http:\/\/www.merriam-webster.com\/dictionary\/biodiversity."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"35951","DOI":"10.1038\/srep35951","article-title":"Environmental hydro-refugia demonstrated by vegetation vigour in the Okavango Delta, Botswana","volume":"6","author":"Reynolds","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1038\/363234a0","article-title":"Global climate change and terrestrial net primary production","volume":"363","author":"Melillo","year":"1993","journal-title":"Nature"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.catena.2005.10.005","article-title":"Satellite remote sensing for water erosion assessment: A review","volume":"65","author":"Vrieling","year":"2006","journal-title":"CATENA"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1046\/j.1523-1739.2000.98533.x","article-title":"Indicators of Biodiversity for Ecologically Susteainable Forest Management","volume":"14","author":"Lindenmayer","year":"2000","journal-title":"Conserv. Biol."},{"key":"ref_49","unstructured":"United States Environment Protection Agency (USEPA) (2012). Ecological Effects Test Guidelines OCSPP 850.4150: Vegetative Vigor, USEPA."},{"key":"ref_50","unstructured":"Organisation for Economic Co-operation and Development (OECD) (2006). Test No. 227: Terrestrial Plant Test: Vegetative Vigour Test, OECD."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1007\/s10661-011-2039-1","article-title":"Evaluating the difference between the normalized difference vegetation index and net primary productivity as the indicators of vegetation vigor assessment at landscape scale","volume":"184","author":"Xu","year":"2012","journal-title":"Environ. Monit. Assess"},{"key":"ref_52","unstructured":"Pearlman, J., Carman, S., Segal, C., Jarecke, P., Clancy, P., and Browne, W. (2001, January 9\u201313). Overview of the Hyperion Imaging Spectrometer for the NASA EO-1 mission. Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"17012","DOI":"10.1073\/pnas.0805962105","article-title":"Evolutionary history and the effect of biodiversity on plant productivity","volume":"105","author":"Cadotte","year":"2008","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1111\/j.1461-0248.2006.00963.x","article-title":"Quantifying the evidence for biodiversity effects on ecosystem functioning and services","volume":"9","author":"Balvanera","year":"2006","journal-title":"Ecol. Lett."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"350","DOI":"10.2307\/2265614","article-title":"Biodiversity: Population Versus Ecosystem Stability","volume":"77","author":"Tilman","year":"1996","journal-title":"Ecology"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1038\/368734a0","article-title":"Declining biodiversity can alter the performance of ecosystems","volume":"368","author":"Naeem","year":"1994","journal-title":"Nature"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1126\/science.286.5442.1123","article-title":"Plant Diversity and Productivity Experiments in European Grasslands","volume":"286","author":"Hector","year":"1999","journal-title":"Science"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1890\/04-0922","article-title":"Effects of biodiversity on ecosystem functioning: A consensus of current knowledge","volume":"75","author":"Hooper","year":"2005","journal-title":"Ecol. Monogr."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"597","DOI":"10.2307\/3546380","article-title":"The Effect of Diversity on Productivity: Detecting the Role of Species Complementarity","volume":"82","author":"Hector","year":"1998","journal-title":"Oikos"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.rse.2003.10.020","article-title":"Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data","volume":"89","author":"Maselli","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/S0034-4257(02)00057-3","article-title":"Interannual variability of NDVI in northwest Mexico. Associated climatic mechanisms and ecological implications","volume":"82","author":"Douglas","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Karthikeyan, N., Shashikkumar, M.C., and Ramanamurthy, J. (2010, January 13\u201315). A study on vegetation vigour as affected by soil properties using remote sensing approach. Proceedings of the RSTSCC-2010, Chennai, India.","DOI":"10.1109\/RSTSCC.2010.5712811"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1111\/j.1475-4762.2010.00979.x","article-title":"Characterising vegetation cover in relation to land use in the Inkomati catchment, South Africa, using Landsat imagery","volume":"43","author":"Munyati","year":"2011","journal-title":"Area"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/s10531-016-1240-5","article-title":"Relationships between plant diversity, vegetation cover, and site conditions: Implications for grassland conservation in the Greater Caucasus","volume":"26","author":"Wiesmair","year":"2017","journal-title":"Biodivers. Conserv."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1177\/030913339802200402","article-title":"Optical Remote-Sensing Techniques for the Assessment of Forest Inventory and Biophysical Parameters","volume":"22","author":"Wulder","year":"1998","journal-title":"Progress Phys. Geogr."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1002\/rse2.9","article-title":"Satellite remote sensing to monitor species diversity: Potential and pitfalls","volume":"2","author":"Rocchini","year":"2016","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1191\/0309133305pp432ra","article-title":"Satellite Remote Sensing of Forest Resources: Three Decades of Research Development","volume":"29","author":"Boyd","year":"2005","journal-title":"Prog. Phys. Geogr."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.ecoinf.2014.08.006","article-title":"The Relationship between the Spectral Diversity of Satellite Imagery, Habitat Heterogeneity, and Plant Species Richness","volume":"24","author":"Warren","year":"2014","journal-title":"Ecol. Inform."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1080\/10106049.2014.883439","article-title":"Mediterranean Forest Species Mapping Using Classification of Hyperion Imagery","volume":"30","author":"Galidaki","year":"2015","journal-title":"Geocarto Int."},{"key":"ref_70","first-page":"17","article-title":"The Earth Observation Data for Habitat Monitoring (EODHaM) system","volume":"37","author":"Lucas","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Eigemeier, E., Heiskanen, J., Rautiainen, M., Vesanto, V., Majasalmi, T., and Stenberg, P. (2012). Narrowband Vegetation Indices for Estimating Boreal Forest Leaf Area Index. Remote Sens. Appl.","DOI":"10.5772\/31160"},{"key":"ref_72","unstructured":"United Nations Environmental Programme (2011). Environmental Assessment of Ogoniland Report, United Nations Environmental Programme."},{"key":"ref_73","first-page":"698","article-title":"Oil and Gas Pipeline Construction-Induced Forest Fragmentation and Biodiversity Loss in the Niger Delta, Nigeria","volume":"5","author":"Agbagwa","year":"2014","journal-title":"Nat.Resour."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s10661-010-1669-z","article-title":"Mangrove Vulnerability Modelling in Parts of Western Niger Delta, Nigeria Using Satellite Images, GIS Techniques and Spatial Multi-Criteria Analysis (SMCA)","volume":"178","author":"Olobaniyi","year":"2011","journal-title":"Environ. Monit. Assess"},{"key":"ref_75","first-page":"710","article-title":"Impact of Climate Change on Aquatic Fauna of Economic Importance in Niger Delta, Nigeria","volume":"4","author":"Elenwo","year":"2014","journal-title":"Atmos. Clim. Sci."},{"key":"ref_76","first-page":"139","article-title":"Negative Impacts of Oil Exploration on Biodiversity Management in the Niger Delta Area of Nigeria","volume":"26","author":"Ugochukwu","year":"2008","journal-title":"Impact Assess. Proj. Apprais."},{"key":"ref_77","unstructured":"World Bank (1995). Defining an Environmental Development Strategy for the Niger Delta, World Bank."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"34","DOI":"10.3923\/rjf.2014.34.47","article-title":"Species Diversity and Regeneration Potential of Some Mixed Mangrove Forests in Escravos Communities Delta State Nigeria","volume":"8","author":"Ebigwa","year":"2014","journal-title":"Res. J. For."},{"key":"ref_79","first-page":"13","article-title":"Mangrove resources in Nigeria: Use and Management Perspectives","volume":"26","author":"Adegbehin","year":"1990","journal-title":"Nat. Resour."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/BF03325939","article-title":"Hydrocarbon contamination of a typical mangrove floor in Niger Delta, Nigeria","volume":"3","author":"Osuji","year":"2006","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"ref_81","unstructured":"(2015, October 05). Nigerian Oil Spill Monitor. Available online: https:\/\/oilspillmonitor.ng\/."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1111\/j.1541-0420.2007.00798.x","article-title":"Line Transect Methods for Plant Surveys","volume":"63","author":"Buckland","year":"2007","journal-title":"Biometrics"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1111\/j.1654-1103.2003.tb02223.x","article-title":"Effects of sampling teams and estimation methods on the assessment of plant cover","volume":"14","author":"Kercher","year":"2003","journal-title":"J. Veg. Sci."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Cain, S.A., and Castro, G.M. (1959). Manual of Vegetation Analysis, Harper.","DOI":"10.1097\/00010694-196006000-00011"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"310","DOI":"10.3923\/ijb.2010.310.322","article-title":"Ethnobotany and Biodiversity Conservation in the Niger Delta, Nigeria","volume":"6","author":"Ubom","year":"2010","journal-title":"Int. J. Bot."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"66","DOI":"10.3923\/rjf.2011.66.77","article-title":"Structure and Phytodiversity of Freshwater Swamp Forest in Oil-rich Bonny, Rivers State, Nigeria","volume":"5","author":"Agbagwa","year":"2011","journal-title":"Res. J. For."},{"key":"ref_87","first-page":"4","article-title":"PAST: Paleontological Statistics Software Package for Education and Data Analysis Palaeontol","volume":"4","author":"Hammer","year":"2001","journal-title":"Palaentol. Electron."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"531","DOI":"10.3390\/d3030531","article-title":"Forest Biodiversity Assessment in Relic Ecosystem: Monitoring and Management Practice Implications","volume":"3","author":"Sattout","year":"2011","journal-title":"Diversity"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1080\/01647954.2010.512877","article-title":"Seasonal Distribution and Species Association among Spider Mites (Acari: Tetranychidae) and Predatory Mites (Acari: Phytoseiidae and Acari: Stigmaeidae) in Serbian Apple Orchards","volume":"36","author":"Petrovic","year":"2010","journal-title":"Int. J. Acarol."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"577","DOI":"10.2307\/1934145","article-title":"The Nonconcept of Species Diversity: A Critique and Alternative Parameters","volume":"52","author":"Hurlbert","year":"1971","journal-title":"Ecology"},{"key":"ref_91","unstructured":"Balakrishnan, N., Colton, T., Everitt, B., Piegorsch, W., Ruggeri, F., and Teugels, J.L. (2016). Species Richness Estimation and Comparison. Wiley StatsRef: Statistics Reference Online, Wiley. [1st ed.]."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"3514","DOI":"10.1002\/ece3.1155","article-title":"Choosing and using diversity indices: Insights for ecological applications from the German Biodiversity Exploratories","volume":"4","author":"Morris","year":"2014","journal-title":"Ecol. Evol."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1111\/j.1461-0248.2005.00729.x","article-title":"Hubbell\u2019s fundamental biodiversity parameter and the Simpson diversity index","volume":"8","author":"He","year":"2005","journal-title":"Ecol. Lett."},{"key":"ref_94","unstructured":"United States Environment Protection Agency (USEPA) (2003). U. S. EPA Method 8015D (SW-846): Nonhalogenated Organics Using GC\/FID."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"4776","DOI":"10.1038\/s41598-018-23136-5","article-title":"Assessment of plant species diversity based on hyperspectral indices at a fine scale","volume":"8","author":"Peng","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1109\/JSTARS.2013.2252601","article-title":"Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterisation and Discrimination of Crop Types Using Field Reflectance and Hyperion\/EO-1 Data","volume":"6","author":"Thenkabail","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_97","first-page":"1246","article-title":"Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes","volume":"41","author":"Datt","year":"2003","journal-title":"TGRS"},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Scheffler, D., and Karrasch, P. (2013, January 23\u201326). Preprocessing of hyperspectral images\u2014A comparative study of destriping algorithms for eo-1 hyperion. Proceedings of the SPIE Remote Sensing Conference, Dresden, Germany.","DOI":"10.1117\/12.2028733"},{"key":"ref_99","unstructured":"Shen, S.S., and Lewis, P.E. (2013). Spectral image destriping using a low-dimensional model. SPIE Defense, Security, and Sensing, SPIE."},{"key":"ref_100","unstructured":"Felde, G.W., Anderson, G.P., Cooley, T.W., Matthew, M.W., Adler-Golden, S.M., Berk, A., and Lee, J. (2003, January 21\u201325). Analysis of Hyperion Data with the FLAASH Atmospheric Correction Algorithm. Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_101","first-page":"2603","article-title":"Use of Derivative Calculations and Minimum Noise Fraction Transform for Detecting and Correcting the Spectral Curvature Effect (Smile) in Hyperion Images","volume":"48","author":"Dadon","year":"2010","journal-title":"TGRS"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"3911","DOI":"10.1080\/01431160701874587","article-title":"Mapping of hydrothermally altered rocks by the EO-1 Hyperion sensor, Northern Danakil Depression, Eritrea","volume":"29","author":"Gersman","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/36.3001","article-title":"A transformation for ordering multispectral data in terms of image quality with implications for noise removal","volume":"26","author":"Green","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1080\/07038992.2016.1160772","article-title":"Minimum Noise Fraction versus Principal Component Analysis as a Preprocessing Step for Hyperspectral Imagery Denoising","volume":"42","author":"Luo","year":"2016","journal-title":"Can. J. Remote Sens."},{"key":"ref_105","unstructured":"(2018, January 18). STEP: Science Toolbox Exploitation Platform. Available online: http:\/\/step.esa.int\/main\/toolboxes\/snap\/."},{"key":"ref_106","unstructured":"MuellerWilm, U., Devignot, O., and Pessiot, L. (2018, January 18). Sen2Cor Configuration and User Manual. Available online: http:\/\/step.esa.int\/thirdparties\/sen2cor\/2.4.0\/Sen2Cor_240_Documenation_PDF\/S2-PDGS-MPC-L2A-SUM-V2.4.0.pdf."},{"key":"ref_107","unstructured":"European Commission (2015). European Space Agency Sentinel-2 User Handbook, European Commission."},{"key":"ref_108","unstructured":"(2016, February 23). Landsat Science Products. Available online: https:\/\/landsat.usgs.gov\/landsat-science-data-products."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.protcy.2012.10.074","article-title":"Feature Extraction using Normalized Difference Vegetation Index (NDVI): A Case Study of Jabalpur City","volume":"6","author":"Bhandari","year":"2012","journal-title":"Procedia Technol."},{"key":"ref_110","first-page":"49","article-title":"Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas","volume":"14","author":"Barati","year":"2011","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"595","DOI":"10.2112\/JCOASTRES-D-12-00272.1","article-title":"Developing Hyperspectral Vegetation Indices for Identifying Seagrass Species and Cover Classes","volume":"31","author":"Pu","year":"2015","journal-title":"J. Coast. Res."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.jembe.2013.04.012","article-title":"Seasonal spectral variation of Zostera noltii and its influence on pigment-based Vegetation Indices","volume":"446","author":"Bargain","year":"2013","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/TGRS.2003.812910","article-title":"Estimation of Forest Leaf Area Index Using Vegetation Indices Derived from Hyperion Hyperspectral Data","volume":"41","author":"Gong","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.envpol.2015.05.041","article-title":"Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images","volume":"205","author":"Arellano","year":"2015","journal-title":"Environ. Pollut."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1016\/j.rse.2008.12.010","article-title":"View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data","volume":"113","author":"Galvao","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"4034","DOI":"10.1016\/j.rse.2008.01.022","article-title":"Identification of Invasive Vegetation Using Hyperspectral Remote Sensing in The California Delta Ecosystem","volume":"112","author":"Hestir","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.isprsjprs.2007.05.006","article-title":"A hyperspectral band selector for plant species discrimination","volume":"62","author":"Vaiphasa","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"3999","DOI":"10.1080\/01431160310001654923","article-title":"Narrow band vegetation indices overcome the saturation problem in biomass estimation","volume":"25","author":"Mutanga","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_119","unstructured":"Pearson, R.L., and Miller, L.D. (1972, January 2\u20136). Remote mapping of standing crop biomass for estimation of the productivity of the short-grass Prairie. Proceedings of the 8th International Symposium on Remote Sensing of Environment, Ann Arbor, MI, USA."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/S0176-1617(96)80284-7","article-title":"Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll","volume":"148","author":"Gitelson","year":"1996","journal-title":"J. Plant Physiol."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/S0176-1617(99)80314-9","article-title":"A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests using Eucalyptus Leaves","volume":"154","author":"Datt","year":"1999","journal-title":"J. Plant Physiol."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(02)00010-X","article-title":"Relationships between Leaf Pigment Content and Spectral Reflectance across a Wide Range of Species, Leaf Structures and Developmental Stages","volume":"81","author":"Sims","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1080\/01431169308953986","article-title":"Red edge spectral measurements from sugar maple leaves","volume":"14","author":"Vogelmann","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1007\/s004420050337","article-title":"The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels","volume":"112","author":"Gamon","year":"1997","journal-title":"Oecologia"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1111\/j.1469-8137.1995.tb03064.x","article-title":"Assessment of photosynthetic radiation-use efficiency with spectral reflectance","volume":"131","author":"Filella","year":"1995","journal-title":"New Phytol."},{"key":"ref_126","unstructured":"Bassaganya-Riera, J. (2016). Chapter 6\u2014Agent-Based Modeling and High Performance Computing. Computational Immunology, Elsevier Inc."},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Cacuci, D.G., Ionescu-Bujor, M., and Navon, I.M. (2005). Sensitivity and Uncertainty Analysis, Chapman & Hall\/CRC Press. [1st ed.].","DOI":"10.1201\/9780203483572"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1155\/2017\/1353691","article-title":"Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications","volume":"2017","author":"Xue","year":"2017","journal-title":"J. Sens."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1080\/01431169408954109","article-title":"Ratios of leaf reflectances in narrow wavebands as indicators of plant stress","volume":"15","author":"Carter","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2004.08.010","article-title":"Application of AVIRIS data in detection of oil-induced vegetation stress and cover change at Jornada, New Mexico","volume":"94","author":"Li","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.rse.2011.11.007","article-title":"Post-spill state of the marsh: Remote estimation of the ecological impact of the Gulf of Mexico oil spill on Louisiana Salt Marshes","volume":"118","author":"Mishra","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.biocon.2005.01.038","article-title":"Vegetation cover thresholds and species responses","volume":"124","author":"Lindenmayer","year":"2005","journal-title":"Biol. Conserv."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(94)90079-5","article-title":"Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands","volume":"50","author":"Carter","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/S0176-1617(96)80287-2","article-title":"Vegetation Stress: An Introduction to the Stress Concept in Plants","volume":"148","author":"Lichtenthaler","year":"1996","journal-title":"J. Plant Physiol."},{"key":"ref_135","first-page":"7","article-title":"Assessing Biodiversity from Space","volume":"6","author":"Bawa","year":"2002","journal-title":"Conserv. Ecol."},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1016\/j.rse.2010.02.004","article-title":"Possibility investigation of tree diversity mapping using Landsat ETM+ data in the Hyrcanian forests of Iran","volume":"114","author":"Mohammadi","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_137","first-page":"306","article-title":"The relationship between satellite-derived indices and species diversity across African savanna ecosystems","volume":"52","author":"Mapfumo","year":"2016","journal-title":"Int. J. Appl. Earth Observ. Geoinf."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.ecoinf.2014.10.005","article-title":"Testing the spectral diversity hypothesis using spectroscopy data in a simulated wetland community","volume":"25","author":"Heumann","year":"2015","journal-title":"Ecol. Inform."},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1023\/A:1024592815576","article-title":"Estimation of Point and Diffuse Contaminant Loads to Streams by Non-Parametric Regression Analysis of Monitoring Data","volume":"147","author":"Albek","year":"2003","journal-title":"Water Air Soil Pollut."},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v027.i05","article-title":"Nonparametric Econometrics: The np Package","volume":"27","author":"Hayfield","year":"2008","journal-title":"J. Stat. Softw."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1111\/1467-9868.00125","article-title":"Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion","volume":"60","author":"Hurvich","year":"1998","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"6026","DOI":"10.3390\/rs5116026","article-title":"Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use\/Cover Mapping","volume":"5","author":"Hu","year":"2013","journal-title":"Remote Sens."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"3966","DOI":"10.1080\/01431161.2011.636081","article-title":"Google Earth as a virtual globe tool for Earth science applications at the global scale: Progress and perspectives","volume":"33","author":"Yu","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.culher.2010.12.007","article-title":"Comparative analysis on the archaeological content of imagery from Google Earth","volume":"12","author":"Kaimaris","year":"2011","journal-title":"J. Cult. Heritage"},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1080\/01431160802339431","article-title":"The Effects of High Soil CO2 Concentrations on Leaf Reflectance of Maize Plants","volume":"30","author":"Noomen","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_146","doi-asserted-by":"crossref","unstructured":"Clark, R.N., Swayze, G.A., Leifer, I., Livo, K.E., Kokaly, R., Hoefen, T., Lundeen, S., Eastwood, M., Green, R.O., and Pearson, N. (2010). A Method for Quantitative Mapping of Thick Oil Spills Using Imaging Spectroscopy.","DOI":"10.3133\/ofr20101167"},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2012.10.028","article-title":"Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes","volume":"129","author":"Kokaly","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"2467","DOI":"10.1080\/01431160310001642287","article-title":"Hydrocarbon Index\u2014An algorithm for hyperspectral detection of hydrocarbons","volume":"25","author":"Oppermann","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1111\/j.1472-4642.2007.00372.x","article-title":"Predicting Mountain Plant Richness and Rarity from Space Using Satellite-Derived Vegetation Indices","volume":"13","author":"Levin","year":"2007","journal-title":"Divers. Distrib."},{"key":"ref_150","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1078\/0176-1617-00887","article-title":"Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves","volume":"160","author":"Gitelson","year":"2003","journal-title":"J. Plant Physiol."},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/S0034-4257(99)00023-1","article-title":"The Chlorophyll Fluorescence Ratio F735\/F700 as an Accurate Measure of the Chlorophyll Content in Plants","volume":"69","author":"Gitelson","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_152","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1080\/2150704X.2015.1015656","article-title":"Using Vegetation Spectral Indices to Detect Oil Pollution in the Niger Delta","volume":"6","author":"Adamu","year":"2015","journal-title":"Remote Sens. Lett."},{"key":"ref_153","doi-asserted-by":"crossref","unstructured":"Rozema, J., and Verkleij, J.A.C. (1991). The impact of oil pollution on salt marsh vegetation. Ecological Responses to Environmental Stresses, Springer.","DOI":"10.1007\/978-94-009-0599-3"},{"key":"ref_154","first-page":"54","article-title":"The effect of sublethal concentrations of crude oil on the metabolism of Jojoba (Simmodsia chinensis) seedlings","volume":"3","author":"Shukry","year":"2012","journal-title":"Int. Res. J. Plant Sci."},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"12530","DOI":"10.1007\/s11356-014-3195-y","article-title":"Effect of Crude Oil Contamination on the Chlorophyll Content and Morpho-Anatomy of Cyperus brevifolius (Rottb.) Hassk","volume":"21","author":"Baruah","year":"2014","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_156","first-page":"70","article-title":"Growth and anatomy of amaranthus hybridus as affected by different crude oil concentrations","volume":"3","author":"Omosun","year":"2008","journal-title":"Eurasian J. Sci. Res."},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s10750-009-9959-6","article-title":"Effects of crude oil on survival, morphology, and anatomy of two aquatic macrophytes from the Amazon floodplains","volume":"636","author":"Lopes","year":"2009","journal-title":"Hydrobiologia"},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1093\/treephys\/7.1-2-3-4.33","article-title":"Exploring the relationship between reflectance red edge and chlorophyll content in slash pine","volume":"7","author":"Curran","year":"1990","journal-title":"Tree Physiol."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.ecoinf.2012.01.001","article-title":"Spectral and spatial indicators of botanical changes caused by long-term hydrocarbon seepage","volume":"8","author":"Noomen","year":"2012","journal-title":"Ecol. Inform."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1139\/b03-138","article-title":"Natural revegetation of hydrocarbon-contaminated soil in semi-arid grasslands","volume":"82","author":"Robson","year":"2004","journal-title":"Can. J. Bot."},{"key":"ref_161","doi-asserted-by":"crossref","unstructured":"Arellano, P., Tansey, K., Balzter, H., and Tellkamp, M. (2017). Plant Family-Specific Impacts of Petroleum Pollution on Biodiversity and Leaf Chlorophyll Content in the Amazon Rainforest of Ecuador. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0169867"},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"683","DOI":"10.4319\/lo.2011.56.2.0683","article-title":"The relative importance of species diversity and functional group diversity on carbon uptake in phytoplankton communities","volume":"56","author":"Behl","year":"2011","journal-title":"Limnol. Oceanogr."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"1820","DOI":"10.3390\/rs4061820","article-title":"Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier","volume":"4","author":"Clark","year":"2012","journal-title":"Remote Sens."},{"key":"ref_164","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1086\/284368","article-title":"Ecosystem Behavior Under Stress","volume":"125","author":"Rapport","year":"1985","journal-title":"Am. Nat."},{"key":"ref_165","first-page":"229","article-title":"The Effect of Crude Oil on Growth of the Weed (Paspalum scrobiculatum L.) -Phytoremediation Potential of the Plant","volume":"3","author":"Ogbo","year":"2009","journal-title":"Afr. J. Environ. Sci. Technol."},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1007\/s11676-014-0538-y","article-title":"Implications of crude oil pollution on natural regeneration of plant species in an oil-producing community in the Niger Delta Region of Nigeria","volume":"25","author":"Chima","year":"2014","journal-title":"J. For. Res."},{"key":"ref_167","doi-asserted-by":"crossref","first-page":"3737","DOI":"10.1021\/es203552p","article-title":"Impacts and Recovery of the Deepwater Horizon Oil Spill on Vegetation Structure and Function of Coastal Salt Marshes in the Northern Gulf of Mexico","volume":"46","author":"Lin","year":"2012","journal-title":"Environ. Sci. Technol."},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/0143-1471(81)90039-8","article-title":"Short-term effects of oil pollution on species numbers and productivity of a simple terrestrial ecosystem","volume":"26","author":"Kinako","year":"1981","journal-title":"Environ. Pollut. Ser. A Ecol. Biol."},{"key":"ref_169","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/BF02239655","article-title":"Impact of crude oil pollution on species number and live standing herbaceous crop biomass","volume":"16","author":"Baruah","year":"1996","journal-title":"Environmentalist"},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"320","DOI":"10.3923\/jest.2015.320.329","article-title":"Reconnaissance Assessment of Long-Term Effects of Crude Oil Spill on Soil Chemical Properties and Plant Composition at Kwawa, Ogoni, Nigeria","volume":"8","author":"Tanee","year":"2015","journal-title":"J. Environ. Sci. Technol."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"348","DOI":"10.3844\/ajessp.2013.348.366","article-title":"Bioremediation of petroleum hydrocarbon-polluted mangrove swamps using nutrient formula produced from water hyacint (eicchornia crassipes)","volume":"9","author":"Orji","year":"2013","journal-title":"Am. J. Environ. Sci."},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1111\/j.1365-2745.2009.01480.x","article-title":"Impact of invasive plants on the species richness, diversity and composition of invaded communities","volume":"97","author":"Hejda","year":"2009","journal-title":"J. Ecol."},{"key":"ref_173","unstructured":"(2014, October 14). COP 6 Decision VI\/26: Strategic Plans for the CBD. Available online: http:\/\/www.cbd.int\/2010-target\/about.shtml."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/6\/897\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:07:45Z","timestamp":1760195265000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/6\/897"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,7]]},"references-count":173,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2018,6]]}},"alternative-id":["rs10060897"],"URL":"https:\/\/doi.org\/10.3390\/rs10060897","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,7]]}}}