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Mapping Foliar Nutrition Using WorldView-3 and WorldView-2 to Assess Koala Habitat Suitability

Authors :
Ben D. Moore
Huiying Wu
Clive McAlpine
Leonie Seabrook
Noam Levin
Source :
Remote Sensing, Volume 11, Issue 3, Pages: 215, Remote Sensing, Vol 11, Iss 3, p 215 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Conservation planning and population assessment for widely-distributed, but vulnerable, arboreal folivore species demands cost-effective mapping of habitat suitability over large areas. This study tested whether multispectral data from WorldView-3 could be used to estimate and map foliar digestible nitrogen (DigN), a nutritional measure superior to total nitrogen for tannin-rich foliage for the koala (Phascolarctos cinereus). We acquired two WorldView-3 images (November 2015) and collected leaf samples from Eucalyptus woodlands in semi-arid eastern Australia. Linear regression indicated the normalized difference index using bands “Coastal„ and “NIR1„ best estimated DigN concentration (% dry matter, R2 = 0.70, RMSE = 0.19%). Foliar DigN concentration was mapped for multi-species Eucalyptus open woodlands across two landscapes using this index. This mapping method was tested on a WorldView-2 image (October 2012) with associated koala tracking data (August 2010 to November 2011) from a different landscape of the study region. Quantile regression showed significant positive relationship between estimated DigN and occurrence of koalas at 0.999 quantile (R2 = 0.63). This study reports the first attempt to use a multispectral satellite-derived spectral index for mapping foliar DigN at a landscape-scale (100s km2). The mapping method can potentially be incorporated in mapping and monitoring koala habitat suitability for conservation management.

Details

ISSN :
20724292
Volume :
11
Database :
OpenAIRE
Journal :
Remote Sensing
Accession number :
edsair.doi.dedup.....193dcac19d7f0c61b0ca01f238b5614b
Full Text :
https://doi.org/10.3390/rs11030215