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 2021-05-01 to 2025-05-01.)
ArticleCitations
Automated urban tree survey using remote sensing data, Google street view images, and plant species recognition apps72
Geo Spatial Based Real Time Monitoring on Eutrophic Evaluation of Porunai River Basin for Pollution Risk Assessment63
Analysis of spatial-temporal evolution of landscape patterns in ancient large city-sites based on multi-temporal Landsat imagery: a case study of the Zhouyuan site region in China49
Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation43
GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery28
Satellite thermographies as an essential tool for the identification of cold air pools: an example from SE Spain25
Real-time identification of collapsed buildings triggered by natural disasters using a modified object-detection network with quasi-panchromatic images25
Fractal and multifractal spatiotemporal patterns of land surface temperatures in a coastal city25
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof20
Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling19
Enhanced large-scale building extraction evaluation: developing a two-level framework using proxy data and building matching19
Towards sustainable agriculture in Iran using a machine learning-driven crop mapping framework19
Study on coal-rock interface characteristics change law and recognition based on active thermal excitation17
Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods14
Mapping spatial distribution of crop residues using PRISMA satellite imaging spectroscopy14
Shrub height estimation for habitat conservation in NW Iberian Peninsula (Spain) using UAV LiDAR point clouds13
YOLOSeaShip: a lightweight model for real-time ship detection13
Solar Induced Fluorescence Retrieved from Avocado ( Persea americana Mill.) Canopies Along the Season Correlates with Sugar Levels in the Developing Fruit13
Retrieval of land surface temperature from FY3D MERSI-II based on re-fitting Split Window Algorithm13
Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring12
Reconstructing palaeogeography and landscapes around the ancient Greek colony of Abdera (Thrace, NE gr.): an integrated remote sensing approach12
Applicability of pre-trained CNNs in temperate deforestation detection12
Let the loss impartial: a hierarchical unbiased loss for small object segmentation in high-resolution remote sensing images11
Study on characteristics of tight oil reservoir in Ansai Area of Ordos Basin– take the Chang 6 section of Ordos Basin as an example11
Land cover change across 45 years in the world’s largest mangrove forest (Sundarbans): the contribution of remote sensing in forest monitoring11
TrmGLU-Net: transformer-augmented global-local U-Net for hyperspectral image classification with limited training samples11
Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic10
Performance evaluation of multiple satellite rainfall data sets in central highlands of Abbay Basin, Ethiopia10
A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach10
A novel NDSM fusion approach to improve UAV-Based LCC accuracy in sloping urban areas10
Advanced prediction of radar reflectivity using U-Net with visual and infrared data from Himawari-810
Fanet: A deep learning framework for black and odorous water extraction10
A hybrid method for delineating homogeneous forest segments from LiDAR data in Catalonia (Spain)9
Preliminary analysis of wind and wave retrieval from Chinese 1mC-SAR image9
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks9
Discussion and analysis on the improvement of the widening technology of cement concrete pavement of rural highway8
Prediction of land use and land cover change in two watersheds in the Senegal River basin (West Africa) using the Multilayer Perceptron and Markov chain model8
Detecting diseases in apple tree leaves using FPN–ISResNet–Faster RCNN8
Combining multiple UAV-Based indicators for wheat yield estimation, a case study from Germany8
Deep Transfer Learning based Fusion Model for Environmental Remote Sensing Image Classification Model8
Object-oriented polarimetric SAR image classification via the combination of a pixel-based classifier and a region growing technique7
Future of urban remote sensing and new sensors7
Detecting semi-arid forest decline using time series of Landsat data7
A novel hybrid sand and dust storm detection method using MODIS data on GEE platform7
Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv7
Canopy temperatures of selected tree species growing in the forest and outside the forest using aerial thermal infrared (3.6–4.9 µm) data7
Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests7
Accuracy assessment of LAI, PAI and FCOVER from Sentinel-2 and GEDI for monitoring forests and their disturbance in Central Germany7
Fuzzy neighbourhood neural network for high-resolution remote sensing image segmentation7
Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data7
Statement of Retraction7
How a basement fault has controlled Pb- Zn ore deposition within the Zagros Fold-Thrust Belt? a focus on remote sensing approaches7
Optical remote sensing cloud detection based on random forest only using the visible light and near-infrared image bands7
Investigating the spatio-temporal risk of in-ground fungal wood decay over Europe using the 5th European reanalysis (ERA5-Land)7
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