Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions

Autor:	Juan Carlos Berrio, Nkeiruka Nneti Onyia, Heiko Balzter
Rok vydání:	2018
Předmět:	Vascular plant hyper-spectral imaging 010504 meteorology & atmospheric sciences Science Biodiversity oil pollution 010501 environmental sciences 01 natural sciences Abundance (ecology) Ecosystem 0105 earth and related environmental sciences Remote sensing species diversity biology Species diversity vegetation vigour Vegetation biology.organism_classification Spatial heterogeneity Thematic map biodiversity monitoring General Earth and Planetary Sciences Environmental science Hyperion spectral metrics
Zdroj:	Remote Sensing Volume 10 Issue 6 Pages: 897 Remote Sensing, Vol 10, Iss 6, p 897 (2018)
ISSN:	2072-4292
Popis:	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’s 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ccfe7e2284136aae39d032be810232 https://doi.org/10.3390/rs10060897 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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