Exploring artificial intelligence for applications of drones in forest ecology and management-Reference-Cited by-同舟云学术

Exploring artificial intelligence for applications of drones in forest ecology and management

Published:2024-01 Issue: Volume:551 Page:121530
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Buchelt Alexander,Adrowitzer Alexander,Kieseberg Peter,Gollob Christoph,Nothdurft Arne,Eresheim Sebastian,Tschiatschek Sebastian,Stampfer Karl,Holzinger Andreas^ORCID

Funder

Austrian Science Fund

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference101 articles.

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2. Wildfire monitoring in remote areas using autonomous unmanned aerial vehicles;Afghah,2019

3. The simultaneous localization and mapping (slam)-an overview;Alsadik;Surv. Geosp. Eng. J.,2021

4. Possibility of applying unmanned aerial vehicle and thermal imaging in several canopy cover class for wildlife monitoring - preliminary results;Aulia Rahman;E3S Web Conf.,2020

5. Single-tree detection in high-density lidar data from uav-based survey;Balsi;Eur. J. Remote Sens.,2018

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3. Wildfires are spreading fast in Canada — we must strengthen forests for the future;Nature;2024-09-09

4. A machine learning-based protocol to support visual tree assessment and risk of failure classification on a university campus;Urban Forestry & Urban Greening;2024-09

5. Hybrid receptive field network for small object detection on drone view;Chinese Journal of Aeronautics;2024-07