Optimising automated classification for New Zealand’s indigenous forests with advanced phenological remote sensing techniques : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Forestry, School of Forestry, University of Canterbury / Ning Ye ; Supervisors: Dr. Justin Morgenroth, Dr. Vega Xu.

Enregistré dans:
Détails bibliographiques
Publié: [Christchurch, New Zealand] : [University of Canterbury], 2022.
Accès en ligne:
Auteur principal:
Ye, Ning (Auteur)
Sujets:
Vegetation classification > New Zealand > North Island > Remote sensing.
Forests and forestry > New Zealand > North Island > Remote sensing.
Plant phenology > New Zealand > North Island > Remote sensing.
Forest surveys > New Zealand > North Island.
Format: Thèse Électronique eBook
Optimising automated classification for New Zealand’s indigenous forests with advanced phenological remote sensing techniques : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Forestry, School of Forestry, University of Canterbury /

Internet

Connect to electronic resource

Documents similaires