Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 10, Pages 1238
Publisher
MDPI AG
Online
2019-05-24
DOI
10.3390/rs11101238
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sub-metric analisis of vegetation structure in bog-heathland mosaics using very high resolution rpas imagery
- (2018) R.A. Díaz-Varela et al. ECOLOGICAL INDICATORS
- Supervised methods of image segmentation accuracy assessment in land cover mapping
- (2018) Hugo Costa et al. REMOTE SENSING OF ENVIRONMENT
- Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2
- (2018) Paweł Hawryło et al. European Journal of Remote Sensing
- An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
- (2018) Ana de Castro et al. Remote Sensing
- Multitemporal Classification of River Floodplain Vegetation Using Time Series of UAV Images
- (2018) Wimala van Iersel et al. Remote Sensing
- Crop Classification in a Heterogeneous Arable Landscape Using Uncalibrated UAV Data
- (2018) Jonas Böhler et al. Remote Sensing
- Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data
- (2018) Mathias Wessel et al. Remote Sensing
- UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
- (2018) Jiří Prošek et al. International Journal of Applied Earth Observation and Geoinformation
- Unmanned aerial systems for precision forest inventory purposes: A review and case study
- (2017) Tristan R.H. Goodbody et al. FORESTRY CHRONICLE
- Comparing six pixel-wise classifiers for tropical rural land cover mapping using four forms of fully polarimetric SAR data
- (2017) Bambang H. Trisasongko et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- UAS, sensors, and data processing in agroforestry: a review towards practical applications
- (2017) Luís Pádua et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle
- (2017) Oumer S. Ahmed et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
- (2017) Steven E. Franklin et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Assessing the status of forest regeneration using digital aerial photogrammetry and unmanned aerial systems
- (2017) Tristan R.H Goodbody et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A review of supervised object-based land-cover image classification
- (2017) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs
- (2017) Luís Pádua et al. Remote Sensing
- Developments in Landsat Land Cover Classification Methods: A Review
- (2017) et al. Remote Sensing
- Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy
- (2017) Birgen Haest et al. Remote Sensing
- Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system
- (2016) Adrien Michez et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments
- (2016) Manchun Li et al. International Journal of Applied Earth Observation and Geoinformation
- Forestry applications of UAVs in Europe: a review
- (2016) Chiara Torresan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Comparison of performance of object-based image analysis techniques available in open source software (Spring and Orfeo Toolbox/Monteverdi) considering very high spatial resolution data
- (2016) Ana C. Teodoro et al. Journal of Applied Remote Sensing
- First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
- (2016) Markus Immitzer et al. Remote Sensing
- Effects of an extremely dry winter on net ecosystem carbon exchange and tree phenology at a cork oak woodland
- (2015) Filipe Costa-e-Silva et al. AGRICULTURAL AND FOREST METEOROLOGY
- A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
- (2015) Chi Yuan et al. CANADIAN JOURNAL OF FOREST RESEARCH
- An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops
- (2015) J. Torres-Sánchez et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Stable Mean-Shift Algorithm and Its Application to the Segmentation of Arbitrarily Large Remote Sensing Images
- (2015) Julien Michel et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Temporal dynamics of spectral bioindicators evidence biological and ecological differences among functional types in a cork oak open woodland
- (2015) Sofia Cerasoli et al. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
- Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels
- (2015) Jan Lehmann et al. Forests
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
- (2015) Sebastian Candiago et al. Remote Sensing
- Drone remote sensing for forestry research and practices
- (2015) Lina Tang et al. JOURNAL OF FORESTRY RESEARCH
- Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
- (2014) Elhadi Adam et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Automated parameterisation for multi-scale image segmentation on multiple layers
- (2014) L. Drăguţ et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
- (2014) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Use of Unmanned Aerial Systems for multispectral survey and tree classification: a test in a park area of northern Italy
- (2014) Rossana Gini et al. European Journal of Remote Sensing
- Geographic Object-Based Image Analysis – Towards a new paradigm
- (2013) Thomas Blaschke et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Accuracy Assessment Measures for Object-based Image Segmentation Goodness
- (2013) Nicholas Clinton et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management
- (2013) Jorge Torres-Sánchez et al. PLoS One
- A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery
- (2013) Jonathan Lisein et al. Forests
- Comparison of pixel- and object-based classification in land cover change mapping
- (2011) Laura Dingle Robertson et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Optimal region growing segmentation and its effect on classification accuracy
- (2011) Yan Gao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Enhanced evaluation of image segmentation results
- (2011) P. R. Marpu et al. Journal of Spatial Science
- Assessing object-based classification: advantages and limitations
- (2011) Desheng Liu et al. Remote Sensing Letters
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started