Large-scale wall-to-wall mapping of bark beetle damage and forest practices using the distance red swir index and operational harvester data

Author:

Persson Henrik J.ORCID,Kärvemo Simon,Lindberg Eva,Huo Langning

Publisher

Elsevier BV

Reference55 articles.

1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data;Abdi;Giscience Remote Sens.,2020

2. Timing of red-edge and shortwave infrared reflectance critical for early stress detection induced by bark beetle (Ips typographus, L.) attack;Abdullah;Int. J. Appl. Earth Obs. Geoinf.,2019

3. Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2;Bárta;Int. J. Appl. Earth Obs. Geoinf.,2021

4. Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees;Bárta;For. Ecol. Manage.,2022

5. Spruce Bark Beetle Outbreak Prediction through Automatic Classification of Sentinel-2 Imagery;Bozzini;Forests,2023

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