Evaluating Drone Truthing as an Alternative to Ground Truthing: An Example with Wetland Plant Identification

Abstract

Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1149508

Entities

People

  • Charles E. Sasser
  • Christina L. Saltus
  • Gabe Giffin
  • Glenn M. Suir
  • J. M. Harris
  • Molly Reif
  • Rodrigo Diaz

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Airframes
  • Algorithms
  • Cameras
  • Computer Science
  • Detectors
  • Digital Image Processing
  • Digital Images
  • Ecology
  • Environment
  • Habitats
  • Identification
  • Image Classification
  • Image Processing
  • Images
  • Information Science
  • Machine Learning
  • Photographs
  • Remote Sensing
  • Surveys
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Seismology
  • Wetland-Land-Environmental Management.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy
  • Space