Mapping continuous forest type variation by means of correlating remotely sensed metrics to canopy N:P ratio in a boreal mixedwood forest

Goekkaya K., Thomas V., Noland T., McCaughey H., Morrison I., Treitz P.

APPLIED VEGETATION SCIENCE, vol.18, no.1, pp.143-157, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 1
  • Publication Date: 2015
  • Doi Number: 10.1111/avsc.12122
  • Journal Name: APPLIED VEGETATION SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.143-157
  • Keywords: Forest type variation, Imaging spectroscopy, LiDAR, Mixedwood boreal forest, N:P ratio, Nutrient limitation, Spatial resolution, KRUGER-NATIONAL-PARK, CHLOROPHYLL CONTENT, NUTRIENT LIMITATION, IMAGING SPECTROSCOPY, SPECTRAL DIVERSITY, SPATIAL-RESOLUTION, NITROGEN, LEAF, PHOSPHORUS, FERTILIZATION
  • Çanakkale Onsekiz Mart University Affiliated: No

Abstract

Questions: Can the ratio of nitrogen to phosphorus (N:P ratio) be predicted at canopy level using imaging spectroscopy (IS) and light detection and ranging (LiDAR) remote sensing data? How do temporal variation and difference in spatial resolution of these data sources affect prediction accuracy of the canopy N:P ratio?