标题
Peat Drainage Ditch Mapping from Aerial Imagery Using a Convolutional Neural Network
作者
关键词
-
出版物
Remote Sensing
Volume 15, Issue 2, Pages 499
出版商
MDPI AG
发表日期
2023-01-16
DOI
10.3390/rs15020499
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
- (2020) François Waldner et al. REMOTE SENSING OF ENVIRONMENT
- Mapping landscape-scale peatland degradation using airborne lidar and multispectral data
- (2019) Donna Carless et al. LANDSCAPE ECOLOGY
- Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100
- (2019) Jens Leifeld et al. Nature Climate Change
- Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
- (2019) Teja Kattenborn et al. Scientific Reports
- Carbon emissions from South-East Asian peatlands will increase despite emission-reduction schemes
- (2018) Lahiru S. Wijedasa et al. GLOBAL CHANGE BIOLOGY
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Long-Term Peatland Condition Assessment via Surface Motion Monitoring Using the ISBAS DInSAR Technique over the Flow Country, Scotland
- (2018) Lubna Alshammari et al. Remote Sensing
- Drainage ditch extraction from airborne LiDAR point clouds
- (2018) Jennifer Roelens et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- U-Net: deep learning for cell counting, detection, and morphometry
- (2018) Thorsten Falk et al. NATURE METHODS
- Historical peat loss explains limited short-term response of drained blanket bogs to rewetting
- (2017) Jennifer Williamson et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- The role of waterborne carbon in the greenhouse gas balance of drained and re-wetted peatlands
- (2015) Chris D. Evans et al. AQUATIC SCIENCES
- Ditch network extraction and hydrogeomorphological characterization using LiDAR-derived DTM in wetlands
- (2015) S. Rapinel et al. HYDROLOGY RESEARCH
- Ditch network extraction and hydrogeomorphological characterization using LiDAR-derived DTM in wetlands
- (2015) S. Rapinel et al. Hydrology Research
- Restoration of blanket peatlands
- (2014) Lauren E. Parry et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Drainage network detection and assessment of network storage capacity in agrarian landscape
- (2012) Federico Cazorzi et al. HYDROLOGICAL PROCESSES
- Agrarian landscapes linear features detection from LiDAR: application to artificial drainage networks
- (2008) J. S. Bailly et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More