Your browser doesn't support javascript.
loading
Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images.
Arellano, Paul; Tansey, Kevin; Balzter, Heiko; Boyd, Doreen S.
Afiliación
  • Arellano P; University of Leicester, Department of Geography, Centre of Landscape and Climate Research, University Road, Leicester, LE1 7RH, UK; Yachay Tech University, School of Geological Sciences & Engineering, San Miguel de Urcuqui, Hacienda San Jose s/n, Imbabura, Ecuador. Electronic address: pa134@le.
  • Tansey K; University of Leicester, Department of Geography, Centre of Landscape and Climate Research, University Road, Leicester, LE1 7RH, UK.
  • Balzter H; University of Leicester, Department of Geography, Centre of Landscape and Climate Research, University Road, Leicester, LE1 7RH, UK; National Centre for Earth Observation, University of Leicester, University Road, Leicester, LE1 7RH, UK.
  • Boyd DS; University of Nottingham, School of Geography, Nottingham, NG7 2RD, UK.
Environ Pollut ; 205: 225-39, 2015 Oct.
Article en En | MEDLINE | ID: mdl-26074164
ABSTRACT
The global demand for fossil energy is triggering oil exploration and production projects in remote areas of the world. During the last few decades hydrocarbon production has caused pollution in the Amazon forest inflicting considerable environmental impact. Until now it is not clear how hydrocarbon pollution affects the health of the tropical forest flora. During a field campaign in polluted and pristine forest, more than 1100 leaf samples were collected and analysed for biophysical and biochemical parameters. The results revealed that tropical forests exposed to hydrocarbon pollution show reduced levels of chlorophyll content, higher levels of foliar water content and leaf structural changes. In order to map this impact over wider geographical areas, vegetation indices were applied to hyperspectral Hyperion satellite imagery. Three vegetation indices (SR, NDVI and NDVI705) were found to be the most appropriate indices to detect the effects of petroleum pollution in the Amazon forest.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Árboles / Hojas de la Planta / Hidrocarburos Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Árboles / Hojas de la Planta / Hidrocarburos Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2015 Tipo del documento: Article