NEON Airborne Observation Platform

Knowledge graph centered on NEON Airborne Observation Platform with 71 nodes and 106 connections. Top connected: Spruce, Potentilla, Populus, Populus tremuloides, Veratrum.

Method synopsis

High-resolution airborne hyperspectral and lidar data collection and analysis to classify land cover types and derive vegetation parameters for hydrologic modeling.

Synthesized from method descriptions across 1 paper 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 — On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes (2022), Hydrology and Earth System Sciences. Implementations in other papers (listed below) may differ.

1. Land cover and soil parameterization
   Derived land use and land cover from high-resolution airborne remote sensing NEON campaign including hyperspectral spectrometer and lidar readings. Identified four major land cover types: forests, mixed forests, grasslands, and bare soil. Parameterized different land cover types using International Geosphere-Biosphere Programme (IGBP) database. Defined three soil layers based on Soil Survey Geographic Database (SSURGO) and corrected based on land cover and geologic maps.
   Quantities: Forest 24%, Mixed Forest 6%, Grassland 46%, Bare Soil 24% coverage, 4 major land cover types, 3 soil layers definedDuration: One-time parameterization for model setupConditions: Based on NEON hyperspectral and lidar data collection
   Equipment: NEON hyperspectral spectrometer, NEON lidar, IGBP database, SSURGO database

Typical Equipment

• NEON hyperspectral spectrometer
• NEON lidar
• IGBP database

Output Measurements

• land cover classifications
• vegetation parameters
• forest coverage percentages
• bare soil distributions

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used