Random Forest Classification Method for Predicting Intertidal Wetland Migration Under Sea Level Rise
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Random Forest Classification Method for Predicting Intertidal Wetland Migration Under Sea Level Rise
Authors
Keywords
-
Journal
Frontiers in Environmental Science
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2022-07-13
DOI
10.3389/fenvs.2022.749950
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
- (2021) Davide Chicco et al. BioData Mining
- Quantifying Slopes as a Driver of Forest to Marsh Conversion Using Geospatial Techniques: Application to Chesapeake Bay Coastal-Plain, United States
- (2021) Grace D. Molino et al. Frontiers in Environmental Science
- Inundation characteristics of mangrove and saltmarsh in micro-tidal estuaries
- (2021) Kristian Kumbier et al. ESTUARINE COASTAL AND SHELF SCIENCE
- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
- (2020) Davide Chicco et al. BMC GENOMICS
- Coastal Wetland Mapping Using Ensemble Learning Algorithms: A Comparative Study of Bagging, Boosting and Stacking Techniques
- (2020) Li Wen et al. Remote Sensing
- Estuarine tidal response to sea level rise: The significance of entrance restriction
- (2020) Danial Khojasteh et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Mapping Wetland Types in Semiarid Floodplains: A Statistical Learning Approach
- (2019) Megan Powell et al. Remote Sensing
- Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise
- (2019) Kerrylee Rogers et al. NATURE
- Using Random Forest Classification and Nationally Available Geospatial Data to Screen for Wetlands over Large Geographic Regions
- (2019) Benjamin R. Felton et al. Water
- Key issues in rigorous accuracy assessment of land cover products
- (2019) Stephen V. Stehman et al. REMOTE SENSING OF ENVIRONMENT
- Saline wetland extents and tidal inundation regimes on a micro-tidal coast, New South Wales, Australia
- (2019) Michael G. Hughes et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Overselling overall map accuracy misinforms about research reliability
- (2019) Guofan Shao et al. LANDSCAPE ECOLOGY
- Application of Machine Learning to Model Wetland Inundation Patterns Across a Large Semiarid Floodplain
- (2019) Sara Shaeri Karimi et al. WATER RESOURCES RESEARCH
- Coastal wetland adaptation to sea level rise: Quantifying potential for landward migration and coastal squeeze
- (2018) Sinéad M. Borchert et al. JOURNAL OF APPLIED ECOLOGY
- Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island
- (2018) Anton Vrieling et al. REMOTE SENSING OF ENVIRONMENT
- A Regional Scale Approach to Assessing Current and Potential Future Exposure to Tidal Inundation in Different Types of Estuaries
- (2018) David J. Hanslow et al. Scientific Reports
- Future response of global coastal wetlands to sea-level rise
- (2018) Mark Schuerch et al. NATURE
- Evaluating regional resiliency of coastal wetlands to sea level rise through hypsometry‐based modeling
- (2018) Cheryl L. Doughty et al. GLOBAL CHANGE BIOLOGY
- Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery
- (2017) Masoud Mahdianpari et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Macroclimatic change expected to transform coastal wetland ecosystems this century
- (2017) Christopher A. Gabler et al. Nature Climate Change
- Mapping the Dabus Wetlands, Ethiopia, Using Random Forest Classification of Landsat, PALSAR and Topographic Data
- (2017) Pierre Dubeau et al. Remote Sensing
- Assessing tidal marsh resilience to sea-level rise at broad geographic scales with multi-metric indices
- (2016) Kenneth B. Raposa et al. BIOLOGICAL CONSERVATION
- Global coastal wetland change under sea-level rise and related stresses: The DIVA Wetland Change Model
- (2016) Thomas Spencer et al. GLOBAL AND PLANETARY CHANGE
- Investigation into the mortality of mangroves at St. Lucia Estuary
- (2016) J.B. Adams et al. SOUTH AFRICAN JOURNAL OF BOTANY
- Beyond just sea-level rise: considering macroclimatic drivers within coastal wetland vulnerability assessments to climate change
- (2015) Michael J. Osland et al. GLOBAL CHANGE BIOLOGY
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- Tidal wetland stability in the face of human impacts and sea-level rise
- (2013) Matthew L. Kirwan et al. NATURE
- Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota
- (2013) Jennifer Corcoran et al. Remote Sensing
- Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
- (2012) Sandra Oliveira et al. FOREST ECOLOGY AND MANAGEMENT
- High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
- (2012) Onisimo Mutanga et al. International Journal of Applied Earth Observation and Geoinformation
- The value of estuarine and coastal ecosystem services
- (2010) Edward B. Barbier et al. ECOLOGICAL MONOGRAPHS
- Biogeography of Australian saltmarsh plants
- (2009) NEIL SAINTILAN AUSTRAL ECOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now