International Journal of Applied Earth Observation and Geoinformation

Papers
(The median citation count of International Journal of Applied Earth Observation and Geoinformation is 3. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Corrigendum to “Optimization of pre-hospital emergency facility layout in Nanjing: A spatiotemporal analysis using multi-Source big data” [Int. J. of Appl. Earth Obs. Geoinf. 133 (2024) 104112]313
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory152
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations150
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar104
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition99
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine94
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification87
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning84
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation80
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation67
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity62
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning58
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information57
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes56
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development52
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map50
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds49
MaGISter-mine: A 2D and 3D web application in the service of mining industry49
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading47
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features47
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification47
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics46
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests46
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery45
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system44
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning44
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer44
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching44
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images43
Shape-preserving mesh decimation for 3D building modeling43
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps43
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images43
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions42
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models41
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples40
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets40
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping40
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection39
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies39
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements39
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment38
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence38
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations37
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes37
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification37
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation37
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds37
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network36
The second dimension of spatial association36
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata36
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean35
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples35
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas35
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation35
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images35
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean35
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China35
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature35
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE35
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa34
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion34
Background covariance discriminative dictionary learning for hyperspectral target detection34
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings34
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China34
Application of geospatial and remote sensing data to support locust management34
Status, advancements and prospects of deep learning methods applied in forest studies34
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests33
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection33
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning33
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation33
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202033
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models32
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data32
Land surface change detection after major volcanic eruptions in Indonesia using Machine learning and Spatial-Temporal transferability32
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales32
Mapping cervid forage in Sweden using remote sensing and national forest inventory data32
Trends and drivers of Arctic lake color change from Landsat time series32
Monitoring multidecadal coastline change and reconstructing tidal flat topography32
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats31
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters31
Interseasonal transfer learning for crop mapping using Sentinel-1 data31
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery31
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning31
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models31
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor31
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model30
Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data30
Unlocking the InSAR potential for managing underground gas storage in salt caverns29
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy29
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels29
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models29
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study29
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics29
Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion29
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam28
GA-Net: A geometry prior assisted neural network for road extraction28
Optimal road matching by relaxation to min-cost network flow28
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds27
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information27
Joint autofocus and registration for video-SAR by using sub-aperture point cloud27
Monitoring glacier terminus and surface velocity changes over different time scales using massive imagery analysis and offset tracking at the Hoh Xil World Heritage Site, Qinghai-Tibet Plateau27
A new algorithm for intelligent detection of geohazards incorporating attention mechanism27
TRANCO: Thermo radiometric normalization of crop observations27
Non-affine georectification to improve the topographic fidelity of legacy geologic maps27
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection26
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model26
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China25
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling25
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton25
UAV-based remote sensing estimation of above-ground biomass in different crops: A review25
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images25
Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration24
A novel mechanism-guided retrieval framework for mangrove chlorophyll content considering leaf area index and spectral resolution based on active learning hybrid model24
TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery24
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide24
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images24
Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations24
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method24
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification24
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data24
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models24
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning23
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula23
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research23
Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality23
Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing23
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing23
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets23
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection23
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits23
A framework for reconstructing building parametric models with hierarchical relationships from point clouds22
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-222
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds22
Transforming remote sensing images to textual descriptions22
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions22
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent22
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry22
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image22
A semi-analytical radiative transfer model for explaining soil spectral features22
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results22
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia22
Global daily gap-free ocean color products from multi-satellite measurements21
Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy21
Multi-perspective perception of city image in Shanghai via massive short videos21
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes21
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model21
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island21
Strengthening or weakening? Multi-year quantification and comparison of urban green space cooling effects and their key 2D/3D drivers21
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification21
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city21
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing21
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data21
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis21
Estimating estuarine primary production using satellite data and machine learning21
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables21
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands20
An intensity-enhanced method for handling mobile laser scanning point clouds20
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection20
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images20
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv820
On the use of SWOT altimetry data for monitoring coastal hydrodynamics20
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches20
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach20
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia20
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations20
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard20
Evaluating the impact of canopy spatial heterogeneity on Solar-Induced chlorophyll fluorescence and Model-Based quantification20
Automatic detection to inventory road slopes using open LiDAR point clouds20
Evaluating crop-specific responses to salinity and drought stress from remote sensing20
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas20
Focused information learning method for change detection based on segmentation with limited annotations20
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns20
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland20
A deep learning crop model for adaptive yield estimation in large areas20
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation19
Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand19
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing19
A strategy for tracing interactions in online collaborative geographic experiments19
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA19
Estimating building height using scene classification and spatial geometry19
Optimizing crop type mapping for fairness19
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity19
The approach to UAV image acquisition and processing for very shallow water mapping19
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model19
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling18
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing18
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning18
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network18
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data18
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data18
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau18
A communication-efficient distributed deep learning remote sensing image change detection framework18
Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images18
Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation18
Contrasting features of cloud and radiative heating from multi-satellite observations over Oklahoma and Korea18
An unmixing-based BRDF correction in spectral remote sensing data18
Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification18
A novel reflectance transformation and convolutional neural network framework for generating bathymetric data for long rivers: A case study on the Bei River in South China18
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution18
Forest aboveground biomass accumulation lags forest canopy recovery in degraded tropical forests of Ghana18
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction17
Mapping mangrove forest degradation using lidar and Landsat data17
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation17
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network17
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data17
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion17
Parcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data17
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification17
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system17
An intercomparison of national and global land use and land cover products for Fiji17
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe17
Predicting regional-scale groundwater levels at high spatial resolution using spatial Random Forest models17
Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches, and comparison to global datasets17
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency17
OCAGraph: An effective observation capability association model for Earth observation sensor planning17
Corrigendum to “Semi-automatic paddy rice intensity mapping for southern China with multiple cropping systems”. [Int. J. Appl. Earth Obs. Geoinform. 144C (2025) 104862]17
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery17
A novel projection map driven multimodal fusion framework for ALS point cloud semantic segmentation17
UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion16
Corrigendum to “Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain)” [Int. J. Appl. Earth Observ. Geoinf. 130 (2024)16
A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data16
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data16
Unified building change detection pre-training method with masked semantic annotations16
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning16
Validating remotely sensed land surface phenology with leaf out records from a citizen science network16
Distant object localization with a single image obtained from a smartphone in an urban environment16
Extracting individual trajectories from text by fusing large language models with diverse knowledge16
Reinforced deep learning approach for analyzing spaceborne-derived crop phenology16
An improved deep learning approach for detection of maize tassels using UAV-based RGB images16
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios16
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network16
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images16
Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis16
Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction16
Corrigendum to “Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction” [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544]16
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction16
A personalized bikeability-based cycling route recommendation method with machine learning16
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards16
Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China16
Corrigendum to “L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires” [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776]16
A LiDAR-based framework for visualizing and quantifying forest void space: an intrinsic component of forest ecosystems16
Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine15
An approach for Canadian river hydrokinetic resource assessment with synthetic aperture radar satellite images15
Diffusion models for spatio-temporal-spectral fusion of homogeneous Gaofen-1 satellite platforms15
UnTDIP: Unsupervised neural network for DEM super-resolution integrating terrain knowledge and deep prior15
Combining ICESat-2 photons and Google Earth Satellite images for building height extraction15
Deep projective prediction of building facade footprints from ALS point cloud15
Detection and attribution of vegetation dynamics in the National Barrier Zone of China by considering climate temporal effects15
Characterising maize and intercropped maize spectral signatures for cropping pattern classification15
Spectral domain strategies for hyperspectral super-resolution: Transfer learning and channel enhance network15
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