Madeleine L. Desrochers
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Madeleine L. Desrochers has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Colin M. Beier
SUNY College of Environmental Science and Forestry Syracuse New York USA
2 shared publications - Lucas K. Johnson
Graduate Program in Environmental Science, State University of New York College of Environmental Science and Forestry, Syracuse, NY, USA
2 shared publications - Eddie Bevilacqua
Department of Sustainable Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210, USA
1 shared publication - Michael Mahoney
State University of New York College of Environmental Science and Forestry, Graduate Program in Environmental Science
1 shared publication Stephen Logan
F&W Forestry, LLC , USA
1 shared publication- Wayne Tripp
F&W Forestry, LLC , USA
1 shared publication
Latest Publications
- Open Access
- 25 August 2023
- Published by Elsevier in Forest Ecology and Management
- Vol. 546
Mapping historical forest biomass for stock-change assessments at parcel to landscape scales
- 25 August 2023
- Published by Elsevier in Forest Ecology and Management
- Vol. 546
Open AccessMapping historical forest biomass for stock-change assessments at parcel to landscape scales
- 11 February 2022
- Published by Springer Nature in Journal of Forestry
- Vol. 120 (5) , 575-587
Ground-Truthing Forest Change Detection Algorithms in Working Forests of the US Northeast
The need for reliable landscape-scale monitoring of forest disturbance has grown with increased policy and regulatory attention to promoting the climate benefits of forests. Change detection algorithms based on satellite imagery can address this need but are largely untested for the forest types and disturbance regimes of the US Northeast, including management practices common in northern hardwoods and mixed hardwood-conifer forests. This study ground-truthed the “off-the-shelf” outputs of three satellite-based change detection algorithms using detailed harvest records and maps covering 43,000 ha of working forests in northeastern New York.
- 11 February 2022
- Published by Springer Nature in Journal of Forestry
- Vol. 120 (5) , 575-587
Ground-Truthing Forest Change Detection Algorithms in Working Forests of the US Northeast
The need for reliable landscape-scale monitoring of forest disturbance has grown with increased policy and regulatory attention to promoting the climate benefits of forests. Change detection algorithms based on satellite imagery can address this need but are largely untested for the forest types and disturbance regimes of the US Northeast, including management practices common in northern hardwoods and mixed hardwood-conifer forests. This study ground-truthed the “off-the-shelf” outputs of three satellite-based change detection algorithms using detailed harvest records and maps covering 43,000 ha of working forests in northeastern New York.