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, cilt.18, sa.1, ss.143-157, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 1
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1111/avsc.12122
  • Dergi Adı: APPLIED VEGETATION SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.143-157
  • Anahtar Kelimeler: 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 Üniversitesi Adresli: Hayır

Özet

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?