Publications by Mickey Campbell

Working with Lidar Data in R

10.09.2024

Table of contents A quick introductory note for those looking to focus on the code 1. A Brief Primer on Lidar a. What is lidar? b. Types of lidar c. Lidar platforms d. Lidar data formats e. Lidar data sources f. Lidar processing software 2. Downloading Lidar Data a. Option 1: Download data from The National Map b. Option 2: Download the exam...

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Monroe Mountain Fuel Consumption Modeling -- Full Workflow

08.07.2024

Contents Introduction Project Setup Import Libraries and Define Basic Parameters Read in the Lidar Data Read in the Fuels Data and Clean Define Modeling and Plotting Functions PDC Sensitivity Testing Plot Out a Few Example PDCs at Different Bandwidths Run PDC Bandwidth Optimization Models Plot PDC Bandwidth Optimization Results Profile Area Ch...

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Monroe Mountain Fuel Consumption Modeling Part 3

18.06.2024

Contents Introduction Field Data Definition of Field Names PDC Sensitivity Testing Results and Discussion Monroe Mountain Fuel Consumption Modeling Part 3 CodeShow All CodeHide All CodeView Source Optimizing the profile density change approach Author Mickey Campbell Introduction The primary goal of this document is to optimize the profile d...

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Monroe Mountain Fuel Consumption Modeling -- Part 2

12.06.2024

Contents Introduction Field Data Definition of Field Names Modeling Fuel Consumption Approach #1: Modeled Fuel Load Subtraction 1a. PrePost model 1b. Pooled model Approach #2: Profile Area Change (PAC) 2a. Raw height PAC for profile slices 2b. Normalized height PAC for profile slices Approach #3: Profile Density Change (PDC) Approach #4: PA...

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Monroe Mountain Fuel Consumption Modeling

06.06.2024

Contents Introduction Field Data Overview Field Data Cleaning Definition of Field Names Modeling Fuel Consumption Approach #1: Modeled Fuel Load Subtraction 1a. PrePost model 1b. Pooled model Approach #2: Profile Area Change (PAC) 2a. Raw height PAC for full profile 2b. Normalized height PAC for full profile 2c. Raw height PAC for profile sl...

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NRD Height Range Analysis

22.04.2024

NRD Height Range Analysis Introduction In the STRIDE manuscript, currently in review, that presents a new “universal” travel rate function trained and validated on three separate field experiments, we examined the aboveground height range within which lidar point normalized relative density (NRD) was most predictive of travel rates. We found t...

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EMS4D TLS vs MLS Random Forest Exploration

18.04.2024

Contents Introduction Model Type #1: Full Model Model Type #2: Leave One Out Cross-Validation Model Type #3: Site-to-Site (2-Fold) Cross-Validation Model Type #4: Boostrapping Compare Four Model Types EMS4D TLS vs MLS Random Forest Exploration CodeShow All CodeHide All CodeView Source Introduction In our last meeting, we discussed having me do s...

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Hovermap Trajectory vs. USGS DTM Interpolation Correction

24.01.2024

This is building off of the first example from Sierra’s markdown that she shared via email on 1/24/2024. It just so happens that it’s my trajectory :). library(lidR) ## The legacy packages maptools, rgdal, and rgeos, underpinning the sp package, ## which was just loaded, will retire in October 2023. ## Please refer to R-spatial evolution re...

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Hovermap Trajectory vs. USGS DTM Interpolation Correction

24.01.2024

R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...

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Modeling Levan and Hovermap Travel Rates

29.11.2023

Modeling Levan and Hovermap Travel Rates Author Michael Campbell Introduction In 2016, we ran our first travel rate experiment. Thirty-one study subjects walked 22 transects, each 100m in length, through central Wasatch foothills outside of Levan, UT featuring juniper-sagebrush vegetation. Study subjects were timed with stopwatches, the results...

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