Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables-Reference-Cited by-同舟云学术

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Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables

Published:2015-12-13 Issue:2 Volume:89 Page:159-169
ISSN:0015-752X
Container-title:Forestry
language:en
Short-container-title:Forestry

Author:

Dash Jonathan P.,Watt Michael S.,Bhandari Santosh,Watt Pete

Funder

‘Growing Confidence in Forestry's Future’

New Zealand Ministry of Business

Innovation and Employment

New Zealand Forest Growers Levy Trust

Timberlands Ltd

Publisher

Oxford University Press (OUP)

Subject

Forestry

Link

http://academic.oup.com/forestry/article-pdf/89/2/159/7467910/cpv048.pdf

Reference71 articles.

1. Integration of Lidar and Landsat Data to Estimate Forest Canopy Cover in Coastal British Columbia

2. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters

3. Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data

4. Comparing parametric and non-parametric modelling of diameter distributions on independent data using airborne laser scanning in a boreal conifer forest

5. Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data

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1. Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region;Canadian Water Resources Journal / Revue canadienne des ressources hydriques;2024-02-23

2. Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest;Sensors;2022-10-17

3. Automated snow avalanche release area delineation in data-sparse, remote, and forested regions;Natural Hazards and Earth System Sciences;2022-10-10

4. A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration;Concepts and Applications of Remote Sensing in Forestry;2022

5. Above-Ground Biomass Estimation of Plantation with Complex Forest Stand Structure Using Multiple Features from Airborne Laser Scanning Point Cloud Data;Forests;2021-12-06

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