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Optimal decisions for salvage logging after wildfires
Gianluca Baselli
, Felipe Contreras
, Matías Lillo
, Magdalena Marín
, Rodrigo A. Carrasco
Faculty of Engineering and Science
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Keyphrases
Assignment Plan
25%
Bark
25%
Chile
50%
Commercial Purpose
25%
Course of Action
25%
Crown Fire
25%
Dead Trees
25%
Decay Process
25%
Environmental Requirements
25%
Financial Situation
25%
Foliage
25%
Forest Company
100%
Forest Industry
25%
Future Income
25%
Harvest Planning
25%
Harvesting Techniques
25%
Insurance Claims
50%
Legal Requirements
25%
Local Community
25%
Logging Companies
25%
Logging Industry
25%
Medium Size
25%
Mixed-integer Optimization
25%
Operational Level
25%
Operational Requirements
25%
Optimal Assignment
25%
Optimal Decision
100%
Optimization Approach
25%
Programming Model
25%
Salvage Logging
100%
Small-sized
25%
Social Component
25%
Specific Constraints
25%
Wildfire
100%
Workforce Assignment
25%
INIS
assignments
33%
bark
16%
burns
16%
chile
33%
communities
16%
comparative evaluations
16%
configuration
16%
constraints
16%
decay
16%
fires
33%
foliage
16%
forestry
83%
forests
66%
harvesting
100%
income
16%
industry
16%
insects
16%
insurance
33%
layers
16%
legal aspects
16%
levels
16%
liabilities
16%
optimization
16%
performance
16%
personnel
50%
programming
16%
values
16%
Computer Science
Commercial Purpose
100%
Legal Requirement
100%
Local Community
100%
Operational Level
100%
Operational Requirement
100%
Optimal Assignment
100%
Programming Model
100%
Agricultural and Biological Sciences
Forestry
100%
Salvage Logging
100%
Social Sciences
Chile
40%
Financial Situation
20%
Forestry
100%
Insurance Claim
40%
Earth and Planetary Sciences
Chile
40%
Forestry
100%
Logging (Industry)
20%