Estimation of canopy cover in dense mixed-species forests using airborne lidar data-Reference-Cited by-同舟云学术

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Estimation of canopy cover in dense mixed-species forests using airborne lidar data

Published:2017-12-18 Issue:1 Volume:51 Page:132-141
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Arumäe Tauri¹²,Lang Mait¹³

Affiliation:

1. Institute of Forestry and Rural Engineering, Estonian University of Life Sciences, Tartu, Estonia

2. Forest survey management division, State Forest Management Centre, Tallinn, Estonia

3. Department of Remote Sensing, Tartu Observatory, Tõravere, Tartumaa, Estonia

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/22797254.2017.1411169

Reference61 articles.

1. Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm

2. Estimating forest canopy fuel parameters using LIDAR data

3. Puistu esimese rinde võrastiku alguse kõrguse hindamine lennukilidari mõõdistusandmete järgi / A simple model to estimate forest canopy base height from airborne lidar data

4. ALS-based wood volume models of forest stands and comparison with forest inventory data

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4. Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment;Ecological Indicators;2024-01

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