4.7 Review

The role of satellite remote sensing in structured ecosystem risk assessments

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 619, Issue -, Pages 249-257

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2017.11.034

Keywords

Risk assessment; Biodiversity monitoring; Ecosystem status; Earth observation; Satellite remote sensing; Ecological indicators

Funding

  1. Australian Research Council - International Union for the Conservation of Nature [LP130100435]
  2. MAVA Foundation
  3. NSW Office of Environment and Heritage
  4. South Australian Department of Environment, Water and Natural Resources
  5. Veski Inspiring Women Fellowship [IWF01]

Ask authors/readers for more resources

The current set of global conservation targets requires methods for monitoring the changing status of ecosystems. Protocols for ecosystem risk assessment are uniquely suited to this task, providing objective syntheses of a wide range of data to estimate the likelihood of ecosystem collapse. Satellite remote sensing can deliver ecologically relevant, long-term datasets suitable for analysing changes in ecosystem area, structure and function at temporal and spatial scales relevant to risk assessment protocols. However, there is considerable uncertainty about how to select and effectively utilise remotely sensed variables for risk assessment. Here, we review the use of satellite remote sensing for assessing spatial and functional changes of ecosystems, with the aim of providing guidance on the use of these data in ecosystem risk assessment. We suggest that decisions on the use of satellite remote sensing should be made a priori and deductively with the assistance of conceptual ecosystem models that identify the primary indicators representing the dynamics of a focal ecosystem. (c) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available