European Journal of Remote Sensing

Papers
(The TQCC of European Journal of Remote Sensing is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A review and meta-analysis of remote sensing data, GIS methods, materials and indices used for monitoring the coastline evolution over the last twenty years64
Building extraction from remote sensing images using deep residual U-Net53
Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria52
Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: a case study in a citrus orchard and an onion crop48
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region47
GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery38
DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification37
Remote sensing scene classification based on high-order graph convolutional network33
Change detection based flood mapping using multi-temporal Earth Observation satellite images: 2018 flood event of Kerala, India25
Wind speed retrieval from the Gaofen-3 synthetic aperture radar for VV- and HH-polarization using a re-tuned algorithm23
Input imagery, classifiers, and cloud computing: Insights from multi-temporal LULC mapping in the Cambodian Mekong Delta22
Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle20
Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic19
Arbitrary-angle bounding box based location for object detection in remote sensing image19
An object-based spatiotemporal fusion model for remote sensing images19
Land cover change across 45 years in the world’s largest mangrove forest (Sundarbans): the contribution of remote sensing in forest monitoring18
Deep Transfer Learning based Fusion Model for Environmental Remote Sensing Image Classification Model18
Deep convolutional neural networks for surface coal mines determination from sentinel-2 images17
Biomass retrieval based on genetic algorithm feature selection and support vector regression in Alpine grassland using ground-based hyperspectral and Sentinel-1 SAR data17
Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach16
Detecting diseases in apple tree leaves using FPN–ISResNet–Faster RCNN15
Influence of atmospheric patterns and North Atlantic Oscillation (NAO) on vegetation dynamics in Iceland using Remote Sensing15
County-level corn yield prediction using supervised machine learning14
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks14
A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model14
A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices13
Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence13
RETRACTED ARTICLE: Eco-environmental effects of urban expansion in Xinjiang and the corresponding mechanisms12
An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset12
Assessments of trophic state in lakes and reservoirs of Wuhan using Sentinel-2 satellite data12
Exploiting Image Assisted Total Station in Digital Image Correlation (DIC) displacement measurements: insights from laboratory experiments12
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof11
Radar data analysis in the presence of uncertainty11
UAV DTM acquisition in a forested area – comparison of low-cost photogrammetry (DJI Zenmuse P1) and LiDAR solutions (DJI Zenmuse L1)11
Overlap influence in images obtained by an unmanned aerial vehicle on a digital terrain model of altimetric precision10
Hyperspectral wavelength selection for estimating chlorophyll content of muskmelon leaves10
Crop identification by massive processing of multiannual satellite imagery for EU common agriculture policy subsidy control9
Characterizing surface water changes across the Tibetan Plateau based on Landsat time series and LandTrendr algorithm9
Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling9
Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach9
Applications of airborne laser scanning for determining marine geoid and surface waves properties8
Fuzzy neighbourhood neural network for high-resolution remote sensing image segmentation8
Mapping spatial distribution of crop residues using PRISMA satellite imaging spectroscopy8
Preliminary verification of hyperspectral LiDAR covering VIS-NIR-SWIR used for objects classification8
Optical remote sensing cloud detection based on random forest only using the visible light and near-infrared image bands8
Investigation of the capability of multitemporal RADARSAT-2 fully polarimetric SAR images for land cover classification: a case of Panyu, Guangdong province8
Extraction of cropland field parcels with high resolution remote sensing using multi-task learning8
Litter on the streets - solid waste detection using VHR images8
Canopy temperatures of selected tree species growing in the forest and outside the forest using aerial thermal infrared (3.6–4.9 µm) data8
Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China7
Spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification7
Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping7
Improving LSMA for impervious surface estimation in an urban area7
Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil7
Calibrating FY4A QPE using CMPA over Yunnan–Kweichow Plateau in summer 20197
SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images7
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