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dc.contributor.author Chasmer, Laura
dc.contributor.author Cobbaert, Danielle
dc.contributor.author Mahoney, Craig
dc.contributor.author Millard, Koreen
dc.contributor.author Peters, Daniel
dc.contributor.author Devito, Kevin
dc.contributor.author Brisco, Brian
dc.contributor.author Hopkinson, Christopher
dc.contributor.author Merchant, Michael
dc.contributor.author Montgomery, Joshua
dc.contributor.author Nelson, Kailyn
dc.contributor.author Niemann, Olaf
dc.date.accessioned 2021-09-29T23:13:13Z
dc.date.available 2021-09-29T23:13:13Z
dc.date.issued 2020
dc.identifier.citation Chasmer, L.,Cobbaert, D., Mahoney, C., Millard, K., Peters, D., Devito, K., Brisco, B., Hopkinson, C., Merchant, M., Mongomery, J., Nelson, K., & Niemann, O. (2020). Remote sensing of boreal wetlands 1: Data use for policy and management. Remote Sensing, 12(8), Article 1320. https://doi.org/10.3390/rs12081320 en_US
dc.identifier.uri https://hdl.handle.net/10133/6053
dc.description Open access article. Creative Commons Attribution 4.0 International License (CC BY 4.0) applies en_US
dc.description.abstract Wetlands have and continue to undergo rapid environmental and anthropogenic modification and change to their extent, condition, and therefore, ecosystem services. In this first part of a two-part review, we provide decision-makers with an overview on the use of remote sensing technologies for the ‘wise use of wetlands’, following Ramsar Convention protocols. The objectives of this review are to provide: (1) a synthesis of the history of remote sensing of wetlands, (2) a feasibility study to quantify the accuracy of remotely sensed data products when compared with field data based on 286 comparisons found in the literature from 209 articles, (3) recommendations for best approaches based on case studies, and (4) a decision tree to assist users and policymakers at numerous governmental levels and industrial agencies to identify optimal remote sensing approaches based on needs, feasibility, and cost. We argue that in order for remote sensing approaches to be adopted by wetland scientists, land-use managers, and policymakers, there is a need for greater understanding of the use of remote sensing for wetland inventory, condition, and underlying processes at scales relevant for management and policy decisions. The literature review focuses on boreal wetlands primarily from a Canadian perspective, but the results are broadly applicable to policymakers and wetland scientists globally, providing knowledge on how to best incorporate remotely sensed data into their monitoring and measurement procedures. This is the first review quantifying the accuracy and feasibility of remotely sensed data and data combinations needed for monitoring and assessment. These include, baseline classification for wetland inventory, monitoring through time, and prediction of ecosystem processes from individual wetlands to a national scale. en_US
dc.language.iso en_US en_US
dc.publisher MDPI en_US
dc.subject Wetland en_US
dc.subject Ecosystem change en_US
dc.subject Data fusion en_US
dc.subject Ramsar Convention en_US
dc.subject Boreal en_US
dc.subject Boreal wetlands
dc.subject.lcsh Ecology
dc.subject.lcsh Multi-sensor data fusion
dc.subject.lcsh Wetlands
dc.subject.lcsh Remote sensing
dc.subject.lcsh Wetland management
dc.title Remote sensing of boreal wetlands 1: data use for policy and mangement en_US
dc.type Article en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Geograpy and Environment en_US
dc.description.peer-review Yes en_US
dc.publisher.institution University of Lethbridge en_US
dc.publisher.institution Alberta Environment and Parks en_US
dc.publisher.institution Carleton University en_US
dc.publisher.institution Environment and Climate Change Canada en_US
dc.publisher.institution University of Alberta en_US
dc.publisher.institution Canada Centre for Mapping and Earth Observation en_US
dc.publisher.institution Ducks Unlimited Canada en_US
dc.publisher.institution University of Victoria en_US
dc.publisher.url https://doi.org/10.3390/rs12081320 en_US


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