Publications
Anna Phillips.
“Cranberry farmers are now turning their bogs into wetlands,” The Washington Post,
November 2024.
Johannes Radinger, Sven Matern, Thomas Klefoth, et al.
“Ecosystem-based management outperforms species-focused stocking for enhancing fish populations,” Science,
Research: Conservation Ecology,
March 2023.
DOI: https://doi.org/10.1126/science.adf0895.
Lyn Watts, Christine Hatch, and Ryan Wicks.
“Mapping groundwater discharge seeps by thermal UAS imaging on a wetland restoration site,” Frontiers in Earth Science,
February 2023.
DOI: https://doi.org/10.3389/feart.2022.946565.
Thilina D. Suransinghe, Regina Christen, Ally Dewey, et al.
“Variable plastron coloration of the eastern painted turtles Chrysemys picta picta in a single locality of south-eastern Massachusetts, USA,” The Herpetological Bulletin,
November 2022.
DOI: https://doi.org/10.33256/hb150.2325.
Christine Hatch, and Erika Ito.
“Recovering groundwater for wetlands from an anthropogenic aquifer,” Frontiers in Earth Science,
October 2022.
DOI: https://doi.org/10.3389/feart.2022.945065.
Christine Hatch.
“Earth Matters: Falling for cedars,” Daily Hampshire Gazette,
September 2022.
Caroline Jaffe.
An Environmental and Economic Systems Analysis of Land Use Decisions in the Massachusetts Cranberry Industry,
Ph.D. Thesis,
Massachusetts Institute of Technology,
Cambridge, MA,
August 2022.
Spencer Russell.
Resynthesizing volumetric soundscapes : low-rank subspace methods for soundfield estimation and reconstruction ,
Ph.D. Thesis,
Massachusetts Institute of Technology,
Cambridge, MA,
May 2022.
R.A. Christen, A.K. Dewey, A.N. Gouthro, et al.
“Diversity of herpetofauna at restored cranberry bogs: A comparative survey of herpetofaunal diversity at a restored wetland in comparison to a retired cranberry bog to assess the restoration success,” Herpetological Journal,
January 2022.
Kate Ballantine, Glorianna Davenport, Linda Deegan, et al.
Learning from the Restoration of Wetlands on Cranberry Farmland: Preliminary Benefits Assessment,
Technical report,
Living Observatory,
Plymouth, MA,
December 2020.
Brian Mayton.
Sensor Networks for Experience and Ecology,
Ph.D. Thesis,
Massachusetts Institute of Technology,
Cambridge, MA,
September 2020.
Clement Duhart, Gershon Dublon, Brian Mayton, et al.
“Decoding the soundscape using deep learning models: a system to support long-term acoustic monitoring of wildlife occupancy with citizen science input,” Proceedings of the American Fisheries Society and The Wildlife Society (AFS & TWS),
September 2019.
Clement Duhart, Gershon Dublon, Brian Mayton, et al.
“Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment,” Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science,
Singapore,
January 2019.
DOI: https://doi.org/10.1007/978-981-13-5758-9_1.
Clement Duhart, Gershon Dublon, Brian Mayton, et al.
“Deep learning for wildlife conservation and restoration efforts,” International Conference on Machine Learning,
Long Beach, CA,
August 2018.
Donald Derek Haddad, Gershon Dublon, Brian Mayton, et al.
“Resynthesizing Reality: Driving Vivid Virtual Environments from Sensor Networks,” ACM SIGGRAPH 2017 Talks, SIGGRAPH 2017,
Los Angeles, CA,
July 2017.
DOI: https://doi.org/10.1145/3084363.3085027.
Brian Mayton, Gershon Dublon, Spencer Russell, et al.
“The Networked Sensory Landscape: Capturing and Experiencing Ecological Change Across Scales,” PRESENCE: Virtual and Augmented Reality,
Cambridge, MA,
May 2017.
DOI: https://doi.org/10.1162/PRES_a_00292.