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NEON Science @UCNodgIxpGyEjhV3XXMxFO5g@youtube.com

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The NEONScience channel is devoted to explaining the methods


00:46
Airborne Observation Platform is Getting Ready! (Payload Installation 2021)
00:47
NEON's Mobile Deployment Platform, for All your Ecology Research Needs
00:41
EFI Tick Abundance Forecast Challenge
00:40
EFI Beetle Communities Forecast Challenge
00:40
EFI Spring Phenology Forecast Challenge
00:40
EFI Aquatic Ecosystems Forecast Challenge
00:40
EFI Terrestrial Carbon and Water Forecast Challenge
07:53
NEON Instrumented Systems Data – Structure and Organization, AGU Data Help Desk 2020
05:18
Tour a NEON Terrestrial Field Site – CPER
00:58
BONA - Caribou-Poker Creeks Research Watershed, NEON Aquatic Field Site | Alaska
01:08
CARI - Caribou Creek, Caribou-Poker Creeks Research Watershed, NEON Aquatic Field Site | Alaska
11:52
Integrating public environmental datasets into an undergraduate course in Environmental Informatics
00:47
SUGG - Ordway-Swisher Biological Station - Suggs Lake, NEON Terrestrial Field Site | Florida
00:55
OSBS - Ordway-Swisher Biological Station, NEON Terrestrial Field Site | Florida
00:58
HEAL - Healy, NEON Terrestrial Field Site | Alaska
10:46
Access NEON: Tools for Accessing and Understanding NEON data in the Undergraduate Classroom
07:13
Tour of NEON's Airborne Observation Platform (AOP)
05:07
Using Spatial Data and GIS for Remote Internships Through the EcologyPlus Program
00:51
BART - Bartlett Experimental Forest, NEON Terrestrial Field Site | New Hampshire
00:51
BLAN - Blandy Experimental Farm, NEON Terrestrial Field site | Virginia
06:01
The Sampling Design of NEON's Aquatic Sites
06:36
Resource & Tools Available on NEONScience.org
05:51
NEON Spatial Design & Geospatial Data
01:27:25
Decison Stucturing & Indicators
56:39
Fusing Data
40:14
Expert Elicitation
40:54
Machine Learning
57:13
Data Assimilation: Analytical Methods
55:32
Trade-offs, Value of Information, Adaptive Management, & Decision Support Communication
30:02
Characterizing Uncertainty
01:10:42
Propagating Uncertainty
25:12
State Space Models
55:04
Why Forecast?
49:19
Bayesian Hierarchical Models
01:05:22
Data Assimilation: Ensemble Methods
04:11
Expanding the Pipeline
05:05
Data Science Teaching Alternatives from The Carpentries
00:54
Happy Earth Day 2020!
47:24
Opening Panel: Further Defining the Problem Space
18:07
Fundamentals of NEON RGB Camera Imagery: A Presentation
06:58
PROACT: Intro to Environmental Decision Making
03:52
PROACT: Problem & Objectives
05:29
PROACT: Performance Measures
02:59
PROACT: Consequences
04:59
PROACT: Trade-offs
06:51
Ensemble Kalman Filter
10:33
Expert Elicitation
03:40
Uncertainty Propagation: Linear Tangent
06:49
Machine Learning
06:37
Multivariate Kalman Filter
02:40
Errors in Variables
02:17
Latent Variables
07:20
Univariate Kalman Filter
04:55
Uncertainty Propagation: Tradeoffs & Analytical Moments
05:53
Uncertainty Analysis
05:01
Modeling Statistical Uncertainty
08:17
Bayesian Hierarchical Models
05:23
State Space Models
11:56
Predicitability First Principles
10:37
Particle Filter