A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
出版年份 2021 全文链接
标题
A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
作者
关键词
Deep learning, Convolutional neural network, Saline flowsource, Dust storm, Urmia lake, Iran
出版物
CATENA
Volume 207, Issue -, Pages 105585
出版商
Elsevier BV
发表日期
2021-07-14
DOI
10.1016/j.catena.2021.105585
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。- A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery
- (2021) Payam Najafi et al. Remote Sensing
- A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran
- (2021) Bakhtiar Feizizadeh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
- (2020) Viet-Ha Nhu et al. CATENA
- Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements
- (2020) Taha Gorji et al. ECOLOGICAL INDICATORS
- Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery
- (2020) Sijin Li et al. GEOMORPHOLOGY
- Theory of deep convolutional neural networks: Downsampling
- (2020) Ding-Xuan Zhou NEURAL NETWORKS
- Deep learning in environmental remote sensing: Achievements and challenges
- (2020) Qiangqiang Yuan et al. REMOTE SENSING OF ENVIRONMENT
- Classification of soil aggregates: A novel approach based on deep learning
- (2020) Afshin Azizi et al. SOIL & TILLAGE RESEARCH
- Landsat-7 and ASTER remote sensing satellite imagery for identification of iron skarn mineralization in metamorphic regions
- (2020) Hooman Moradpour et al. Geocarto International
- An object based image analysis applied for volcanic and glacial landforms mapping in Sahand Mountain, Iran
- (2020) Bakhtiar Feizizadeh et al. CATENA
- System dynamics to assess the effectiveness of restoration scenarios for the Urmia Lake: A prey-predator approach for the human-environment uncertain interactions
- (2020) Seyed Ershad Barhagh et al. JOURNAL OF HYDROLOGY
- Modeling and mapping of soil salinity in Tafilalet plain (Morocco)
- (2019) Mohammed El hafyani et al. Arabian Journal of Geosciences
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality
- (2019) Recep Can et al. ISPRS International Journal of Geo-Information
- Projecting Australia's forest cover dynamics and exploring influential factors using deep learning
- (2019) Long Ye et al. ENVIRONMENTAL MODELLING & SOFTWARE
- UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
- (2019) Hejar Shahabi et al. SENSORS
- Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
- (2019) Sepideh Tavakkoli Piralilou et al. Remote Sensing
- Deep learning classifiers for hyperspectral imaging: A review
- (2019) M.E. Paoletti et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability
- (2018) Chongchong Qi et al. APPLIED SOFT COMPUTING
- Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill
- (2018) Chongchong Qi et al. CONSTRUCTION AND BUILDING MATERIALS
- A Novel Approach of Fuzzy Dempster–Shafer Theory for Spatial Uncertainty Analysis and Accuracy Assessment of Object-Based Image Classification
- (2018) Bakhtiar Feizizadeh IEEE Geoscience and Remote Sensing Letters
- Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
- (2018) Anand Vetrivel et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Data-driven modelling of the flocculation process on mineral processing tailings treatment
- (2018) Chongchong Qi et al. JOURNAL OF CLEANER PRODUCTION
- Modeling variations in soil salinity in the oasis of Junggar Basin, China
- (2018) Ligang Ma et al. LAND DEGRADATION & DEVELOPMENT
- Automated terrain feature identification from remote sensing imagery: a deep learning approach
- (2018) Wenwen Li et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Joint Deep Learning for land cover and land use classification
- (2018) Ce Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Kafnets: Kernel-based non-parametric activation functions for neural networks
- (2018) Simone Scardapane et al. NEURAL NETWORKS
- Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
- (2018) Alireza Arabameri et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Improved spatiotemporal monitoring of soil salinity using filtered kriging with measurement errors: An application to the West Urmia Lake, Iran
- (2017) Nikou Hamzehpour et al. GEODERMA
- Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion
- (2017) Omid Rahmati et al. GEOMORPHOLOGY
- Evaluating fuzzy operators of an object-based image analysis for detecting landslides and their changes
- (2017) Bakhtiar Feizizadeh et al. GEOMORPHOLOGY
- LSTM network: a deep learning approach for short-term traffic forecast
- (2017) Zheng Zhao et al. IET Intelligent Transport Systems
- Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)
- (2017) Gabriela M. Afrasinei et al. Journal of Applied Remote Sensing
- A patch-based convolutional neural network for remote sensing image classification
- (2017) Atharva Sharma et al. NEURAL NETWORKS
- Hyperspectral image reconstruction by deep convolutional neural network for classification
- (2017) Yunsong Li et al. PATTERN RECOGNITION
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Semi-automatic classification of glaciovolcanic landforms: An object-based mapping approach based on geomorphometry
- (2016) G.B.M. Pedersen JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
- The threat of soil salinity: A European scale review
- (2016) I.N. Daliakopoulos et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Application of machine vision for classification of soil aggregate size
- (2016) Fatemeh Rahimi Ajdadi et al. SOIL & TILLAGE RESEARCH
- Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection
- (2016) Haobo Lyu et al. Remote Sensing
- Detecting soil salinity with MODIS time series VI data
- (2015) Ting-Ting Zhang et al. ECOLOGICAL INDICATORS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Regional-scale soil salinity assessment using Landsat ETM + canopy reflectance
- (2015) Elia Scudiero et al. REMOTE SENSING OF ENVIRONMENT
- A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran
- (2015) M.J. Tourian et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring and evaluating spatial variability of soil salinity in dry and wet seasons in the Werigan–Kuqa Oasis, China, using remote sensing and electromagnetic induction instruments
- (2014) Jianli Ding et al. GEODERMA
- Object-based gully system prediction from medium resolution imagery using Random Forests
- (2014) Rajesh B.V. Shruthi et al. GEOMORPHOLOGY
- Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran
- (2014) Thomas Blaschke et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping
- (2014) Bakhtiar Feizizadeh et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- The history of human-induced soil erosion: Geomorphic legacies, early descriptions and research, and the development of soil conservation—A global synopsis
- (2013) Markus Dotterweich GEOMORPHOLOGY
- Heavy metals pollution in the soils of suburban areas in big cities: a case study
- (2013) H. Taghipour et al. International Journal of Environmental Science and Technology
- Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data
- (2013) E. Forootan et al. REMOTE SENSING OF ENVIRONMENT
- Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region
- (2013) Katalyn A. Voss et al. WATER RESOURCES RESEARCH
- Landslide inventory maps: New tools for an old problem
- (2012) Fausto Guzzetti et al. EARTH-SCIENCE REVIEWS
- Investigation of lake drying attributed to climate change
- (2012) M. Abbaspour et al. International Journal of Environmental Science and Technology
- GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran
- (2012) Bakhtiar Feizizadeh et al. NATURAL HAZARDS
- Spatial analysis of remote sensing image classification accuracy
- (2012) Alexis Comber et al. REMOTE SENSING OF ENVIRONMENT
- Observed climate variability and change in Urmia Lake Basin, Iran
- (2012) A. H. Delju et al. THEORETICAL AND APPLIED CLIMATOLOGY
- The Drying of Iran's Lake Urmia and its Environmental Consequences
- (2012) Environmental Development
- Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling
- (2011) Elmira Hassanzadeh et al. WATER RESOURCES MANAGEMENT
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Environmental impacts of desalination on the ecology of Lake Urmia
- (2010) Abdolreza Karbassi et al. JOURNAL OF GREAT LAKES RESEARCH
- GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea
- (2010) Hyun-Joo Oh et al. JOURNAL OF HYDROLOGY
- A Comparison Between Probabilistic and Dempster-Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories
- (2010) Piero Baraldi et al. RISK ANALYSIS
- An object‐oriented approach for analysing and characterizing urban landscape at the parcel level
- (2008) W. Zhou et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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