First-ever inventory map of Newfoundland using GoogleEarth and Remote Sensing Data

First time province-wide wetland inventory map of Newfoundland, Canada using GoogleEarth Engine and Remote Sensing Satellite Data

Led by ESF Assistant Professor, Dr. Bahram Salehi, a team of researchers has just finished the first time ever high resolution wetland inventory map of Newfoundland in Canada: See the video:

 The result was just published in the Remote Sensing journal: . The project’s outcome provides a base for understanding the effect of climate changes in northern latitudes and has the potential to be extended to northern Territories of Canada and to Alaska in a timely and cost – effective manner.

The research was mainly undertaken by two PhD students of Dr Salehi at Memorial University of Newfoundland, Canada, Mr. Masoud Mahdianpari and Ms. Fariba Mohammadimanesh. The project was broadly collaborative engaging a wide renege of partners: C-CORE, State University of New York, College of Environment Science and Forestry (ESF), Memorial University of Newfoundland (MUN), University of Ottawa, Environment and Climate Change Canada (ECCC), Canada Center for Remote Sensing (CCRS), The Newfoundland and Labrador Provincial Department of Environment and Conservation, Ducks Unlimited Canada (DUC), and Nature Conservancy Canada (NCC), Memorial University of Newfoundland. The Project was undertaken with financial support of ECCC, the former R&D Corporation of Newfoundland and Labrador-RDC (Now InnovateNL), DUC, and NSERC.

According to Dr. Salehi, the method has the applicability on wetlands in other provinces of Canada and States of US, leading to a North American Wetland Inventory map. Salehi9

The developed method:


For further information, please contact:

Assistant Professor of Remote Sensing Engineering

State University of New York (SUNY)

College of Environmental Science and Forestry (ESF)

Department of Environmental Resources Engineering (ERE)

416 Baker Lab, 1 Forestry Dr, Syracuse,  NY 13210, USA
Phone: 315-470-6550


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