NEON Airborne Observation Platform (Salicaceae)

Knowledge graph centered on NEON Airborne Observation Platform (Salicaceae) with 43 nodes and 145 connections. Top connected: Spruce, phenological mismatch, Populus, Artemisia, Populus tremuloides.

Method synopsis

Airborne hyperspectral imaging (380-2500 nm) and LiDAR data collection at 1 m resolution, followed by machine learning algorithms to produce aspen cover and cytotype distribution maps.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Climate lags and genetics determine phenology in quaking aspen (Populus tremuloides) (2023), New Phytologist. The protocol was originally introduced by Remote sensing of cytotype and its consequences for canopy damage in quaking aspen (2022), Global Change Biology. Implementations in other papers (listed below) may differ.

1. Remote sensing data acquisition
   Study area was overflown by the NEON Airborne Observation Platform in June 2018, yielding hyperspectral (380-2500 nm) reflectance imagery and LiDAR data covering the region in 1 m spatial resolution. Applied random forest machine learning algorithms to produce maps of aspen cover and cytotype at 1 m resolution.
   Quantities: 391 km² area coverage at 1 m spatial resolutionDuration: June 2018 flyoverConditions: Aerial survey conditions
   Equipment: NEON Airborne Observation Platform, hyperspectral sensors (380-2500 nm), LiDAR, random forest machine learning algorithms

Typical Equipment

• NEON Airborne Observation Platform
• hyperspectral sensors (380-2500 nm)
• LiDAR
• random forest machine learning algorithms

Output Measurements

• hyperspectral reflectance imagery
• LiDAR elevation data
• aspen cover maps
• cytotype distribution maps

Papers Using This Protocol (2)

Species Studied With This Protocol