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Published September 8, 2020 | Version v2.0.0
Software Open

FLARE-UAVs-veg v2.0.0

  • 1. Colgate University

Description

Research Objectives

  1. Determined how GCC and NDVI relate to each other across a fine (25 cm) to coarse (10 m) spatial resolution to understand how fine-scale heterogeneity influences reflectance.
  2. Evaluated how well vegetation indices predict aboveground carbon biomass and basal area of live trees and tall deciduous shrubs.
  3. Assessed how vegetation indices distinguish burned versus unburned areas and edge effects.

Scripts associated with Research Objectives

Field Data 1.1_Field-data-organization 1.2_Field-data-spatial

Data organization and extraction 2.1_Calculate-GCC-NDVI 2.2_GCC-field-data 2.3_NDVI-field-extract 2.4_UAV-Field-Raw-Data-Visualization

Statistical Analysis 3.1_UAV-GCC-NDVI-Correlations 3.2_UAV-GCC-NDVI-Mean-SD 3.3_UAV-Biomass-Analysis 3.4_Field-UAV-BasalArea 3.5_UAV-EdgeEffect_Analysis

Files

taluccia/FLARE-UAVs-veg-v2.0.0.zip

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