Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques
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Title
Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques
Authors
Keywords
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Journal
ISPRS International Journal of Geo-Information
Volume 10, Issue 6, Pages 371
Publisher
MDPI AG
Online
2021-06-01
DOI
10.3390/ijgi10060371
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Note: Only part of the references are listed.- Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass
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- (2020) Pauli Virtanen et al. NATURE METHODS
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- Light penetration in a temperate meso-tidal lagoon: Implications for seagrass growth and dredging in Tauranga Harbour, New Zealand
- (2019) Mariana Coppede Cussioli et al. OCEAN & COASTAL MANAGEMENT
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- Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance
- (2019) Fei Sun et al. ISPRS International Journal of Geo-Information
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- (2019) Peter I. Macreadie et al. Nature Communications
- Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification
- (2019) Emine Yaman et al. Biomed Research International
- Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting
- (2018) Stefanos Georganos et al. IEEE Geoscience and Remote Sensing Letters
- Implementation of machine-learning classification in remote sensing: an applied review
- (2018) Aaron E. Maxwell et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Interannual Change Detection of Mediterranean Seagrasses Using RapidEye Image Time Series
- (2018) Dimosthenis Traganos et al. Frontiers in Plant Science
- Global challenges for seagrass conservation
- (2018) Richard K. F. Unsworth et al. AMBIO
- Assessing the potential for satellite image monitoring of seagrass thermal dynamics: for inter- and shallow sub-tidal seagrasses in the inshore Great Barrier Reef World Heritage Area, Australia
- (2017) S. R. Phinn et al. International Journal of Digital Earth
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- (2017) Lina Mtwana Nordlund et al. MARINE POLLUTION BULLETIN
- Mapping Mediterranean seagrasses with Sentinel-2 imagery
- (2017) Dimosthenis Traganos et al. MARINE POLLUTION BULLETIN
- Optimum Temperatures for Net Primary Productivity of Three Tropical Seagrass Species
- (2017) Catherine J. Collier et al. Frontiers in Plant Science
- Correction: Seagrass Ecosystem Services and Their Variability across Genera and Geographical Regions
- (2017) Lina Mtwana Nordlund et al. PLoS One
- Increased sediment loads cause non-linear decreases in seagrass suitable habitat extent
- (2017) Megan Irene Saunders et al. PLoS One
- Multi-temporal change detection of seagrass beds using integrated Landsat TM/ETM+/OLI imageries in Cam Ranh Bay, Vietnam
- (2016) Chi-Farn Chen et al. Ecological Informatics
- Random forest in remote sensing: A review of applications and future directions
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- Ecosystem services provided by a complex coastal region: challenges of classification and mapping
- (2016) Lisa P. Sousa et al. Scientific Reports
- Machine learning in geosciences and remote sensing
- (2016) David J. Lary et al. Geoscience Frontiers
- Impact of seagrass loss and subsequent revegetation on carbon sequestration and stocks
- (2015) Núria Marbà et al. JOURNAL OF ECOLOGY
- Integrating field survey data with satellite image data to improve shallow water seagrass maps: the role of AUV and snorkeller surveys?
- (2015) Chris Roelfsema et al. Remote Sensing Letters
- A Method to Analyze the Potential of Optical Remote Sensing for Benthic Habitat Mapping
- (2015) Rodrigo Garcia et al. Remote Sensing
- The application of remote sensing to seagrass ecosystems: an overview and future research prospects
- (2014) M.S. Hossain et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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- (2014) Inchio Lou et al. NEURAL COMPUTING & APPLICATIONS
- Seagrass Proliferation Precedes Mortality during Hypo-Salinity Events: A Stress-Induced Morphometric Response
- (2014) Catherine J. Collier et al. PLoS One
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- (2013) Paul H. York et al. PLoS One
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- (2013) Nobi Elavumkudi Paulose et al. Ocean Science Journal
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- Accelerating loss of seagrasses across the globe threatens coastal ecosystems
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- The impact of sediment burial and erosion on seagrasses: A review
- (2008) Susana Cabaço et al. ESTUARINE COASTAL AND SHELF SCIENCE
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