Random forest in remote sensing
A review of applications and future directions
Bibliographic Data
| ID | 23346295 |
|---|---|
| Authors | Mariana Belgiu (0000-0002-2147-1894, University of Salzburg, corresponding author), Lucian Drăguț (0000-0002-2138-3288, West University of Timişoara) |
| Year | 2016 |
| Volume | 114 |
| Pages | 24-31 |
| Publication date | 2016-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS Journal of Photogrammetry and Remote Sensing (JOURNAL) |
| Journal identifiers | ISSN: 0924-2716 • E-ISSN: 1872-8235 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.isprsjprs.2016.01.011 |
| OpenAlex | W2261059368 |
| Language | EN |
| Citations received | 174 |
| References cited | 96 |
Artificial neural network · Classifier (UML) · Curse of dimensionality · Data mining · Decision tree · Geography · Machine learning · Outlier · Overfitting · Pattern recognition (psychology) · Random forest · Remote sensing · Artificial Intelligence · Computer Science · Remote Sensing in Agriculture · Remote-Sensing Image Classification · Spectroscopy and Chemometric Analyses
Integrating artificial intelligence in climate change and sustainable development
Fine-scale urban heat mapping by machine learning downscaling of Modis land surface temperature in a hyper-arid megacity
Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability
Estimating building-scale population using multi-source spatial data
Classificação do uso e cobertura da terra utilizando imagens SAR/Sentinel 1 no Distrito Federal
Avaliação da precisão da classificação de cobertura do solo na identificação de áreas potenciais para o aparecimento de criadouros de Aedes aegypt
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Hyperparameters and tuning strategies for random forest
Google Earth Engine for geo-big data applications
Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns
Glc_fcs30
Remote sensing and citizen science for habitat mapping
Towards a remote-sensing driven model of isoprene emissions from Alpine Tundra
Gedi waveform metrics in vegetation mapping—a case study from a heterogeneous tropical forest landscape
Mapping growing stock volume and forest live biomass
Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt
Enhancing environmental sustainability
Data-driven approaches demonstrate legacy N accumulation in Upper Mississippi River Basin groundwater
Linking repeat lidar with Landsat products for large scale quantification of fire-induced permafrost thaw settlement in interior Alaska
Bullet ricochet mark plan-view morphology in concrete
Estimating the grassland aboveground biomass in the Three-River Headwater Region of China using machine learning and Bayesian model averaging
How conflict affects land use
Towards interpreting machine learning models for predicting soil moisture droughts
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
A 30 m global map of elevation with forests and buildings removed
Assessing the Landscape Ecological Risks of Land-Use Change
Predicting sleep quality with digital biomarkers and artificial neural networks
The Nonlinear Impact of Mobile Human Activities on Vegetation Change in the Guangdong–Hong Kong–Macao Greater Bay Area
A multi-layer similarity approach for analyzing ADHD symptomology and assessment methods considering DSM-5 diagnostic criteria
Measurement Method for Evaluating the Lockdown Policies during the Covid-19 Pandemic
Risk assessment of imported malaria in China
Integrating artificial neural network-cellular automata and bayesian weight of evidence for spatiotemporal analysis of urban change in Brisbane City
Integrating macro-micro perspectives to measure urban land expansion in Minsk, Belarus
Conservation outcomes across protected area strategies
Analysis of differences in above-ground carbon stocks estimation in forests by UAV LiDAR under sample characteristics
What drives intercity venture capital investment? A comparative analysis between multiple linear regression and random forest
Land use and land cover change dynamics and local perception in the Dolphin Coast, KwaZulu-Natal
Analysing four decades of urban growth in Greater Khartoum, Sudan, using Earth observation data and Google Earth Engine
Evaluating the capability of Worldview-2 imagery for mapping alien tree species in a heterogeneous urban environment
Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors
Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators
Characterizing the Up-To-Date Land-Use and Land-Cover Change in Xiong’an New Area from 2017 to 2020 Using the Multi-Temporal Sentinel-2 Images on Google Earth Engine
Thirty-Year Dynamics of Lulc at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine
Decision Tree Algorithms for Developing Rulesets for Object-Based Land Cover Classification
Using Machine Learning to Extract Building Inventory Information Based on LiDAR Data
Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques
Imputation of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data
Long-Term Lulc Monitoring in El Jadida, Morocco (1985–2020)
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image
Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and Machine Learning
Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine Learning Classification on Google Earth Engine
Development Process, Quantitative Models, and Future Directions in Driving Analysis of Urban Expansion
Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)
Park Development, Potential Measurement, and Site Selection Study Based on Interpretable Machine Learning—A Case Study of Shenzhen City, China
Obia-Based Extraction of Artificial Terrace Damages in the Loess Plateau of China from UAV Photogrammetry
The Use of Machine Learning Algorithms in Urban Tree Species Classification
Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images
Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features
Enhancing Crop Classification Accuracy through Synthetic SAR-Optical Data Generation Using Deep Learning
Leveraging OSM and Geobia to Create and Update Forest Type Maps
Research on Spatial Distribution Characteristics and Influencing Factors of Pension Resources in Shanghai Community-Life Circle
Mapping Brick Kilns to Support Environmental Impact Studies around Delhi Using Sentinel-2
Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents
Dynamic Perception-Based Vehicle Trajectory Prediction Using a Memory-Enhanced Spatio-Temporal Graph Network
A VGI-Based Intelligent Agent for Quality Inspection and Data Fusion of Building Data
Determining Cover Management Factor with Remote Sensing and Spatial Analysis for Improving Long-Term Soil Loss Estimation in Watersheds
Mapping Agricultural Intensification in the Brazilian Savanna
Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020
Billion Tree Tsunami Forests Classification Using Image Fusion Technique and Random Forest Classifier Applied to Sentinel-2 and Landsat-8 Images
Mapping and Monitoring Urban Environment through Sentinel-1 SAR Data
Assessing the transferability of post-disaster building damage assessment using synthetic aperture radar and machine learning
Urban resilience assessment based on “window” data
Evaluating urban flood risk using hybrid method of Topsis and machine learning
Comprehensive geospatial approaches to delineate near real-time (NRT) flood inundation and damage assessment of Tripura, India
Quantitative assessment of population risk to tropical cyclones using hybrid modeling combining GAM and XGBoost
Measuring spatial urban recovery and expansion in tsunami-affected areas by satellite remote sensing and machine learning approach
Development of a building-scale integrated flood damage quantifying framework using a hydrodynamic model and multisource geospatial data
Lithological mapping with pseudo-labelling
Effects of urban driven land use/land cover change on forest reserves in Zambia
Multi-temporal analysis of forest canopy cover in Ngel Nyaki Forest Reserve using the Sentinel-1 and Sentinel-2 data
Rainfed wheat extent (2020/21) across Ethiopia’s complex and highly fragmented agricultural smallholder landscape
Factors Affecting Machine Learning-Based Landslide Detection for the 2015 Lefkada Earthquake
Periglacial landforms of Dartmoor
Evaluation of the security of the water–energy–food system in the Yellow River Basin using explainable machine learning models
Türkiye’de Enflasyon Oranlarının Makine Öğrenme Yöntemi ile Tahmini
Integrating GIS and Multi‐Criteria Analysis for Sustainable Livestock Grazing
Inferring the potential impact of human activities on evapotranspiration in the Tumen River Basin based on LANDSAT imagery and historical statistics
Remote sensing of plastic‐covered greenhouses and plastic‐mulched farmlands
Multiple trajectories of grassland fragmentation, degradation, and recovery in Russia's steppes
The Expansion of Desert Shrubs Since 1986 Has Contributed Over Half of the Sand Greening in Ordos, China
Ecosystem Stability and Driving Mechanisms in the Main Agricultural Areas of Tajikistan
The fate of rangelands
Mapping the spatial distribution of the yellowwood tree ( Podocarpus henkelii ) in the Weza-Ngele forest using the newly launched Sentinel-2 multispectral imager data
Mapping the impacts of cyclone Idai in Mozambique using Sentinel-2 and Obia approach
Comparative analysis of land use and land cover classification algorithms and future prediction in the transboundary Ruvu River Basin, Tanzania
Assessing the effectiveness of OTT services, branded apps, and gamified loyalty giveaways on mobile customer churn in the telecom industry
Standardizing disadvantage
A machine learning approach to the simulation of intercity corporate networks in mainland China
Can consumer big data reveal often-overlooked urban poverty? Evidence from Guangzhou, China
Random Forests for land cover classification
Random forest classifier for remote sensing classification
A survey of image classification methods and techniques for improving classification performance
Feature Selection with the Boruta Package
Support vector machines in remote sensing
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
An assessment of the effectiveness of a random forest classifier for land-cover classification
Bagging predictors
Bagging Predictors
| Unique citing works | 174 |
|---|---|
| Citations per year | 19,33 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 168 |