Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from <scp>UAV</scp> ‐based aerial imagery-Reference-Cited by-同舟云学术

Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV ‐based aerial imagery

Published:2022-03-04 Issue:4 Volume:8 Page:536-550
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Mienna Ida Marielle¹^ORCID,Klanderud Kari¹^ORCID,Ørka Hans Ole¹^ORCID,Bryn Anders²³^ORCID,Bollandsås Ole Martin¹^ORCID

Affiliation:

1. Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Box 5003 Ås 1432 Norway

2. Geo‐Ecology Research Group, Natural History Museum University of Oslo P.O. Box 1172 Oslo NO‐0318 Norway

3. Division of Survey and Statistics Norwegian Institute of Bioeconomy Research (NIBIO) P.O. Box 115 Ås NO‐1431 Norway

Funder

Norges Forskningsråd

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.260

Reference93 articles.

1. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

2. Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests

3. Evaluating digital terrain indices for soil wetness mapping – a Swedish case study

4. Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

5. Wetland Classification Using Multi-Source and Multi-Temporal Optical Remote Sensing Data in Newfoundland and Labrador, Canada

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