Estimating Nutritive, Non-Nutritive and Defense Foliar Traits in Spruce-Fir Stands Using Remote Sensing and Site Data

Author:

Bhattarai Rajeev,Rahimzadeh-Bajgiran Parinaz,Mech Angela

Publisher

Elsevier BV

Reference39 articles.

1. Spectroscopy of canopy chemicals in humid tropical forests;G P Asner;Remote Sens. Environ,2011

2. Sentinel-2 accurately maps green-attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat-8;H Abdullah;Remote Sens. Ecol. Conserv,2019

3. Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression;C Axelsson;Int. J. Remote Sens,2013

4. Multi-source mapping of forest susceptibility to spruce budworm defoliation based on stand age and composition across a complex landscape in Maine;R Bhattarai;USA. Can. J. Remote Sens,2022

5. Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA;R Bhattarai;Int. J. Appl. Earth Obs. Geoinf,2022

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