Detection of Annual Spruce Budworm Defoliation and Severity Classification Using Landsat Imagery-Reference-Cited by-同舟云学术

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Detection of Annual Spruce Budworm Defoliation and Severity Classification Using Landsat Imagery

Published:2018-06-14 Issue:6 Volume:9 Page:357
ISSN:1999-4907
Container-title:Forests
language:en
Short-container-title:Forests

Author:

Rahimzadeh-Bajgiran Parinaz,Weiskittel Aaron,Kneeshaw Daniel,MacLean David^ORCID

Publisher

MDPI AG

Subject

Forestry

Link

http://www.mdpi.com/1999-4907/9/6/357/pdf

Reference71 articles.

1. Accuracy of aerial sketch-mapping estimates of spruce budworm defoliation in New Brunswick

2. Effects of stand and site characteristics on susceptibility and vulnerability of balsam fir and spruce to spruce budworm in New Brunswick

3. Effects of Spruce Budworm Outbreaks on the Productivity and Stability of Balsam Fir Forests

4. The relationship between climate and outbreak characteristics of the spruce budworm in eastern Canada

5. SPATIAL SYNCHRONY OF SPRUCE BUDWORM OUTBREAKS IN EASTERN NORTH AMERICA

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1. Modeling weather-driven long-distance dispersal of spruce budworm moths (Choristoneura fumiferana). Part 2: Flight model calibration using radar data;Agricultural and Forest Meteorology;2024-10

2. Evaluation of branch sampling, ocular assessments, and aerial surveys for estimating spruce budworm defoliation;Canadian Journal of Forest Research;2024-07-01

3. Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances;Remote Sensing of Environment;2024-05

4. Use of satellite images to monitor Leucoptera sinuella leaf damage in poplar plantations in central Chile;New Forests;2024-01-18

5. Mapping Tree Mortality Caused by Siberian Silkmoth Outbreak Using Sentinel-2 Remote Sensing Data;Forests;2023-12-13

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