Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
出版年份 2021 全文链接
标题
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
作者
关键词
-
出版物
Remote Sensing
Volume 13, Issue 4, Pages 586
出版商
MDPI AG
发表日期
2021-02-10
DOI
10.3390/rs13040586
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Correlating Sentinel-2 MSI-derived vegetation indices with in-situ reflectance and tissue macronutrients in savannah grass
- (2020) C. Munyati et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Harmonization of Landsat and Sentinel 2 for Crop Monitoring in Drought Prone Areas: Case Studies of Ninh Thuan (Vietnam) and Bekaa (Lebanon)
- (2020) Minh D. Nguyen et al. Remote Sensing
- Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
- (2020) Douglas K. Bolton et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
- (2020) Giuseppe Modica et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- MAPPING VEGETATION COMMUNITIES INSIDE WETLANDS USING SENTINEL-2 IMAGERY IN IRELAND
- (2020) Saheba Bhatnagar et al. International Journal of Applied Earth Observation and Geoinformation
- Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
- (2020) Haifa Tamiminia et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-temporal image analysis for LULC classification and change detection
- (2020) GN Vivekananda et al. European Journal of Remote Sensing
- Mapping of Eucalyptus in Natura 2000 Areas Using Sentinel 2 Imagery and Artificial Neural Networks
- (2020) Andreas Forstmaier et al. Remote Sensing
- Generating a Spatio-Temporal Complete 30 m Leaf Area Index from Field and Remote Sensing Data
- (2020) Hongmin Zhou et al. Remote Sensing
- Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition
- (2020) Thanh Noi Phan et al. Remote Sensing
- A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the ‘Cipolla Rossa di Tropea’ (Italy)
- (2020) Gaetano Messina et al. Remote Sensing
- Multi-Temporal Sentinel-2 Data in Classification of Mountain Vegetation
- (2020) Martyna Wakulińska et al. Remote Sensing
- Mapping 10-m Resolution Rural Settlements Using Multi-Source Remote Sensing Datasets with the Google Earth Engine Platform
- (2020) Hanyu Ji et al. Remote Sensing
- Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
- (2020) Michel E. D. Chaves et al. Remote Sensing
- Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine Learning Classification on Google Earth Engine
- (2020) Maria Antonia Brovelli et al. ISPRS International Journal of Geo-Information
- Mapping the forest disturbance regimes of Europe
- (2020) Cornelius Senf et al. Nature Sustainability
- Urban Tree Species Identification and Carbon Stock Mapping for Urban Green Planning and Management
- (2020) Md Abdul Mueed Choudhury et al. Forests
- Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
- (2020) Andrea Tassi et al. Remote Sensing
- Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a mountainous region
- (2020) Andreas Kollert et al. International Journal of Applied Earth Observation and Geoinformation
- Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox
- (2019) Giandomenico De Luca et al. Remote Sensing
- Improvement of Remote Sensing-Based Assessment of Defoliation of Pinus spp. Caused by Thaumetopoea Pityocampa Denis and Schiffermüller and Related Environmental Drivers in Southeastern Spain
- (2019) Pérez-Romero et al. Remote Sensing
- Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
- (2019) Parks et al. Remote Sensing
- Collect Earth: An online tool for systematic reference data collection in land cover and use applications
- (2019) David Saah et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
- (2019) Abdulhakim Mohamed Abdi GIScience & Remote Sensing
- Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping
- (2019) Mohammad Mardani et al. Remote Sensing
- A methodology based on GEOBIA and WorldView-3 imagery to derive vegetation indices at tree crown detail in olive orchards
- (2019) Francesco Solano et al. International Journal of Applied Earth Observation and Geoinformation
- Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus landsat 8
- (2019) Antonio Sánchez-Espinosa et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- From woody cover to woody canopies: How Sentinel-1 and Sentinel-2 data advance the mapping of woody plants in savannas
- (2019) Wenmin Zhang et al. REMOTE SENSING OF ENVIRONMENT
- The forgotten land use class: Mapping of fallow fields across the Sahel using Sentinel-2
- (2019) Xiaoye Tong et al. REMOTE SENSING OF ENVIRONMENT
- Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa
- (2019) Pinki Mondal et al. Remote Sensing
- On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment
- (2018) Gerben Hagenaars et al. COASTAL ENGINEERING
- Implementation of machine-learning classification in remote sensing: an applied review
- (2018) Aaron E. Maxwell et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
- (2018) Xiaoping Liu et al. REMOTE SENSING OF ENVIRONMENT
- A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data
- (2018) Per Jönsson et al. Remote Sensing
- Spatiotemporal Analysis of Landsat-8 and Sentinel-2 Data to Support Monitoring of Dryland Ecosystems
- (2018) Neal Pastick et al. Remote Sensing
- The effects of local and landscape habitat attributes on bird diversity in urban greenspaces
- (2018) Corey T. Callaghan et al. Ecosphere
- Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions
- (2018) Max J. Steinhausen et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping Mining Areas in the Brazilian Amazon Using MSI/Sentinel-2 Imagery (2017)
- (2018) Felipe de Lucia Lobo et al. Remote Sensing
- Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review
- (2018) Jacinta Holloway et al. Remote Sensing
- Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
- (2018) Lalit Kumar et al. Remote Sensing
- Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin
- (2018) Chao Wang et al. Remote Sensing
- A method for monthly mapping of wet and dry snow using Sentinel-1 and MODIS: Application to a Himalayan river basin
- (2018) B. Snapir et al. International Journal of Applied Earth Observation and Geoinformation
- A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
- (2017) Bangqian Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- Abandonment of Traditional Terraced Landscape: A Change Detection Approach (A Case Study in Costa Viola - Calabria, Italy)
- (2017) Giuseppe Modica et al. LAND DEGRADATION & DEVELOPMENT
- Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?
- (2017) Yulong Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping
- (2017) Jennifer Hird et al. Remote Sensing
- A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring
- (2017) et al. Remote Sensing
- A global moderate resolution dataset of gross primary production of vegetation for 2000–2016
- (2017) Yao Zhang et al. Scientific Data
- Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning
- (2016) Jari Vauhkonen et al. FORESTRY
- Optical remotely sensed time series data for land cover classification: A review
- (2016) Cristina Gómez et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Geospatial big data handling theory and methods: A review and research challenges
- (2016) Songnian Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- High-resolution mapping of global surface water and its long-term changes
- (2016) Jean-François Pekel et al. NATURE
- Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
- (2016) Eli K. Melaas et al. REMOTE SENSING OF ENVIRONMENT
- Mapping Dominant Tree Species over Large Forested Areas Using Landsat Best-Available-Pixel Image Composites
- (2015) Shanley D. Thompson et al. CANADIAN JOURNAL OF REMOTE SENSING
- Integrated Object-Based Spatiotemporal Characterization of Forest Change from an Annual Time Series of Landsat Image Composites
- (2015) Cristina Gómez et al. CANADIAN JOURNAL OF REMOTE SENSING
- An index for the assessment of degraded Mediterranean forest ecosystems
- (2015) Giuseppe Modica et al. Forest Systems
- Remote sensing big data computing: Challenges and opportunities
- (2015) Yan Ma et al. Future Generation Computer Systems-The International Journal of eScience
- First Results From the Phenology-Based Synthesis Classifier Using Landsat 8 Imagery
- (2015) D. Simonetti et al. IEEE Geoscience and Remote Sensing Letters
- Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
- (2015) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mapping Dominant Tree Species over Large Forested Areas Using Landsat Best-Available-Pixel Image Composites
- (2015) Shanley D. Thompson et al. CANADIAN JOURNAL OF REMOTE SENSING
- Integrated Object-Based Spatiotemporal Characterization of Forest Change from an Annual Time Series of Landsat Image Composites
- (2015) Cristina Gómez et al. CANADIAN JOURNAL OF REMOTE SENSING
- Tree species mapping in tropical forests using multi-temporal imaging spectroscopy: Wavelength adaptive spectral mixture analysis
- (2014) B. Somers et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
- (2013) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Global Maps of 21st-Century Forest Cover Change
- (2013) M. C. Hansen et al. SCIENCE
- Forest cover trends from time series Landsat data for the Australian continent
- (2012) Eric A. Lehmann et al. International Journal of Applied Earth Observation and Geoinformation
- Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems
- (2012) James E. Vogelmann et al. REMOTE SENSING OF ENVIRONMENT
- On the terminology of the spectral vegetation index (NIR − SWIR)/(NIR + SWIR)
- (2011) Lei Ji et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Integrating remote sensing in Natura 2000 habitat monitoring: Prospects on the way forward
- (2011) Jeroen Vanden Borre et al. JOURNAL FOR NATURE CONSERVATION
- Classification and regression trees
- (2011) Wei-Yin Loh Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America
- (2010) Matthew L. Clark et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of remote sensing change detection techniques for assessing hurricane damage to forests
- (2009) Fugui Wang et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
- Trend detection of annual and seasonal rainfall in Calabria (Southern Italy)
- (2009) Tommaso Caloiero et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Monitoring land cover change and ecological integrity in Canada's national parks
- (2009) R.H. Fraser et al. REMOTE SENSING OF ENVIRONMENT
- Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century
- (2008) Jeffrey T Morisette et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
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