Raster-Based Floristic Quality Index: Proof of Concept

Abstract

The purpose of this study was to develop and demonstrate a raster-based floristic quality index (FQIraster) as a proof of concept. This raster-based approach leverages many of the advantages of high spatial, spectral, and temporal resolution space-borne imagery as well as established remote sensing techniques (vegetation indices and feature classification) to provide rapid measures of vegetation productivity and biodiversity. The developed method should provide researchers and managers a new tool for quantifying and tracking the condition, response, and recovery of expansive wetland landscapes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1108803

Entities

People

  • Charles E. Sasser
  • Christina L. Saltus
  • Glenn M. Suir
  • J. M. Harris
  • Melissa V. Carle

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Artificial Satellites
  • Coastal Management
  • Data Acquisition
  • Ecology
  • Ecosystems
  • Engineers
  • Environment
  • Environmental Monitoring
  • Environmental Protection
  • Floods
  • Habitats
  • High Resolution
  • Louisiana
  • Monitoring
  • Natural Resources
  • Plants
  • Remote Sensing
  • Satellite Imaging
  • Surveys
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Atmospheric Remote Sensing.
  • Systems Analysis and Design
  • Wetland-Land-Environmental Management.

Technology Areas

  • Space