Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
出版年份 2019 全文链接
标题
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
作者
关键词
-
出版物
Remote Sensing
Volume 11, Issue 22, Pages 2599
出版商
MDPI AG
发表日期
2019-11-07
DOI
10.3390/rs11222599
参考文献
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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。- Forest Stand Species Mapping Using the Sentinel-2 Time Series
- (2019) Ewa Grabska et al. Remote Sensing
- Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data
- (2019) Agata Hościło et al. Remote Sensing
- Evaluating the potential of sentinel-2, landsat-8, and irs satellite images in tree species classification of hyrcanian forest of iran using random forest
- (2019) Leila Soleimannejad et al. Journal of Sustainable Forestry
- Fractional cover mapping of spruce and pine at 1 ha resolution combining very high and medium spatial resolution satellite imagery
- (2018) Markus Immitzer et al. REMOTE SENSING OF ENVIRONMENT
- Improved mapping of forest type using spectral-temporal Landsat features
- (2018) Valerie J. Pasquarella et al. REMOTE SENSING OF ENVIRONMENT
- How much does multi-temporal Sentinel-2 data improve crop type classification?
- (2018) Francesco Vuolo et al. International Journal of Applied Earth Observation and Geoinformation
- Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
- (2018) Julia Maschler 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
- Towards global data products of Essential Biodiversity Variables on species traits
- (2018) W. Daniel Kissling et al. Nature Ecology & Evolution
- Tree Species Classification with Multi-Temporal Sentinel-2 Data
- (2018) Magnus Persson et al. Remote Sensing
- Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
- (2018) Dirk Pflugmacher et al. REMOTE SENSING OF ENVIRONMENT
- Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?
- (2017) Fabian Ewald Fassnacht et al. FORESTRY
- Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data
- (2017) Francesco Vuolo et al. International Journal of Applied Earth Observation and Geoinformation
- Windthrow Detection in European Forests with Very High-Resolution Optical Data
- (2017) Kathrin Einzmann et al. Forests
- Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya
- (2017) Wai-Tim Ng et al. Remote Sensing
- Optical remotely sensed time series data for land cover classification: A review
- (2016) Cristina Gómez 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
- Review of studies on tree species classification from remotely sensed data
- (2016) Fabian Ewald Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
- (2016) Francesco Vuolo et al. Remote Sensing
- First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
- (2016) Markus Immitzer et al. Remote Sensing
- Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series
- (2016) David Sheeren et al. Remote Sensing
- Sentinel-2’s Potential for Sub-Pixel Landscape Feature Detection
- (2016) Julien Radoux et al. Remote Sensing
- Satellite-Based Derivation of High-Resolution Forest Information Layers for Operational Forest Management
- (2015) Johannes Stoffels et al. Forests
- Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images
- (2015) Dan Li et al. Remote Sensing
- Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites
- (2014) Fabian E. Fassnacht et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks
- (2014) Claudia Kuenzer et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Satellite remote sensing, biodiversity research and conservation of the future
- (2014) N. Pettorelli et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping
- (2014) Joseph Mascaro et al. PLoS One
- Monitoring dry vegetation masses in semi-arid areas with MODIS SWIR bands
- (2014) Damien Christophe Jacques et al. REMOTE SENSING OF ENVIRONMENT
- Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality
- (2014) Lars Waser et al. Remote Sensing
- Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa
- (2013) Kabir Yunus Peerbhay et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Wavelet-based texture measures for object-based classification of aerial images
- (2013) Philipp Toscani et al. Photogrammetrie Fernerkundung Geoinformation
- Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
- (2013) Michele Dalponte et al. REMOTE SENSING OF ENVIRONMENT
- A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery
- (2013) Jonathan Lisein et al. Forests
- Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
- (2012) Markus Immitzer et al. Remote Sensing
- Mapping tree species in temperate deciduous woodland using time-series multi-spectral data
- (2009) R. A. Hill et al. APPLIED VEGETATION SCIENCE
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