TerrAdapt:Cascadia Documentation
TerrAdapt:Cascadia
  • QUICK START GUIDE
  • HOW TO USE TERRADAPT:CASCADIA
    • Public License and Citation
    • Appropriate Uses and Key Limitations
    • TerrAdapt:Cascadia Map Portal
    • TerrAdapt:Cascadia Dashboard
  • DATA INPUTS
    • Data Inputs Overview
    • Remote Sensing Data
    • Climate
    • Energy and Transportation Infrastructure
    • Topography, Hydrology, & Soils
  • METHODS AND VALIDATION
    • Methods Overview
    • Landcover
      • Taxonomy
      • Training Data
      • Covariates
      • Model Development
      • Model Validation
    • Forest Structure
      • Training Data
      • Covariates
      • Model Development
      • Model Validation
    • Rangeland Fractional Cover
      • Training Data
      • Covariates
      • Model Development
      • Model Validation
    • Change Detection and Ecological Disturbance Modeling
      • Taxonomy
      • Covariates
      • Training Data
      • Model Development
    • Human Footprint
    • Habitat
      • Species Distribution Modeling
      • Ecosystem-based Models
      • Core Habitat
      • Habitat Centrality
    • Connectivity
      • Mapping Connectivity Networks
      • Corridors
      • Corridor Centrality
      • Mapping Barriers
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  1. METHODS AND VALIDATION

Forest Structure

Overview

Forest structure refers to the physical characteristics of the forest environment related to tree size, height, and canopy as well as understory vegetation and woody debris on the forest floor. These structural attributes vary widely as a function of forest succession after disturbance and often have profound influences on habitat quality for forest-associated species. TerrAdapt:Cascadia currently models 3 attributes of forest structure across our region, including % canopy cover, tree diameter, and tree height.

In the following sections, we describe the training data and covariates we used to predict these forest structural attributes, our approach to developing the models, and model validation.

PreviousModel ValidationNextTraining Data

Last updated 10 months ago

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