International Journal of Applied Earth Observation and Geoinformation

Papers
(The TQCC of International Journal of Applied Earth Observation and Geoinformation is 8. 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 2021-12-01 to 2025-12-01.)
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]303
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory144
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations138
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition99
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar99
Application of geospatial and remote sensing data to support locust management97
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations89
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps85
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification81
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models81
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data78
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas76
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation76
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests76
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds65
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples65
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification61
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China56
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics54
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation53
Shape-preserving mesh decimation for 3D building modeling51
Background covariance discriminative dictionary learning for hyperspectral target detection51
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information48
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation48
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading47
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting47
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification47
MaGISter-mine: A 2D and 3D web application in the service of mining industry46
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds46
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development46
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence45
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification45
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map44
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images44
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets43
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes43
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions43
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images43
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images43
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean42
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies42
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection42
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment40
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning40
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements40
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine40
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features40
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning40
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature39
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation39
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China39
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning38
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes38
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery37
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery37
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network37
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity36
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching36
The second dimension of spatial association36
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion35
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa35
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean35
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples35
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system35
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer35
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping35
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata35
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202034
Status, advancements and prospects of deep learning methods applied in forest studies34
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings34
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE34
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models33
Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data33
Global border watch: From land use change to joint action33
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning33
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification33
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study33
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning33
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy32
Interseasonal transfer learning for crop mapping using Sentinel-1 data32
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters32
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models32
Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion32
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor32
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality32
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels32
Optimal road matching by relaxation to min-cost network flow31
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics31
Unlocking the InSAR potential for managing underground gas storage in salt caverns31
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images31
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery31
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton31
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam31
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models31
GA-Net: A geometry prior assisted neural network for road extraction30
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds30
TRANCO: Thermo radiometric normalization of crop observations30
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information30
Non-affine georectification to improve the topographic fidelity of legacy geologic maps30
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 Plateau30
Joint autofocus and registration for video-SAR by using sub-aperture point cloud30
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images29
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests29
Assessing inclination angles of tree branches from terrestrial laser scan data using a skeleton extraction method29
A new algorithm for intelligent detection of geohazards incorporating attention mechanism29
Mapping cervid forage in Sweden using remote sensing and national forest inventory data28
UAV-based remote sensing estimation of above-ground biomass in different crops: A review28
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection28
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection28
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation28
A novel mechanism-guided retrieval framework for mangrove chlorophyll content considering leaf area index and spectral resolution based on active learning hybrid model28
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery27
Land surface change detection after major volcanic eruptions in Indonesia using Machine learning and Spatial-Temporal transferability27
Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration27
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter27
Trends and drivers of Arctic lake color change from Landsat time series27
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data27
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling27
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model27
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales26
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China26
Monitoring multidecadal coastline change and reconstructing tidal flat topography26
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide25
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions25
TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery25
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model25
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland25
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits25
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data25
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats25
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds25
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models25
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula24
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images24
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning24
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island24
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing24
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing24
Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations24
Evaluating crop-specific responses to salinity and drought stress from remote sensing24
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets24
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction24
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection23
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas23
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results23
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model23
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning23
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method23
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research23
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-223
A framework for reconstructing building parametric models with hierarchical relationships from point clouds23
Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing23
A semi-analytical radiative transfer model for explaining soil spectral features23
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent23
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches23
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands23
Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality22
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image22
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China22
Estimating estuarine primary production using satellite data and machine learning22
An intensity-enhanced method for handling mobile laser scanning point clouds22
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns22
A deep learning crop model for adaptive yield estimation in large areas22
Strengthening or weakening? Multi-year quantification and comparison of urban green space cooling effects and their key 2D/3D drivers22
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis22
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard22
Automatic detection to inventory road slopes using open LiDAR point clouds22
Multi-perspective perception of city image in Shanghai via massive short videos22
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification21
Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy21
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables21
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data21
Transforming remote sensing images to textual descriptions21
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv821
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes21
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations21
On the use of SWOT altimetry data for monitoring coastal hydrodynamics21
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity20
Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand20
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data20
Focused information learning method for change detection based on segmentation with limited annotations20
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia20
Evaluating the impact of canopy spatial heterogeneity on Solar-Induced chlorophyll fluorescence and Model-Based quantification20
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia20
An intercomparison of national and global land use and land cover products for Fiji20
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA20
A strategy for tracing interactions in online collaborative geographic experiments20
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city20
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach20
Global daily gap-free ocean color products from multi-satellite measurements20
A communication-efficient distributed deep learning remote sensing image change detection framework20
The approach to UAV image acquisition and processing for very shallow water mapping20
Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation20
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry20
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection20
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation20
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery19
Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model19
Optimizing crop type mapping for fairness19
An unmixing-based BRDF correction in spectral remote sensing data19
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery19
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements19
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data19
Estimating building height using scene classification and spatial geometry19
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 China19
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing19
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system19
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine19
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations19
Forest aboveground biomass accumulation lags forest canopy recovery in degraded tropical forests of Ghana19
Validating remotely sensed land surface phenology with leaf out records from a citizen science network19
OCAGraph: An effective observation capability association model for Earth observation sensor planning19
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution19
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling18
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency18
A personalized bikeability-based cycling route recommendation method with machine learning18
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau18
Validation and comparison of surface shortwave and longwave radiation products over the three poles18
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing18
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards18
Predicting regional-scale groundwater levels at high spatial resolution using spatial Random Forest models18
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction18
Seasonal bean yield forecast for non-irrigated croplands through climate and vegetation index data: Geospatial effects18
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 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 projection map driven multimodal fusion framework for ALS point cloud semantic segmentation18
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model18
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data18
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network18
Contrasting features of cloud and radiative heating from multi-satellite observations over Oklahoma and Korea18
Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches, and comparison to global datasets18
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion18
Parcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data18
Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images18
Unified building change detection pre-training method with masked semantic annotations18
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation17
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning17
Urban development analysis using built-up area maps based on multiple high-resolution satellite data17
UrbanSegNet: An urban meshes semantic segmentation network using diffusion perceptron and vertex spatial attention17
Corrigendum to “L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires” [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776]17
Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China17
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images17
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction17
An improved deep learning approach for detection of maize tassels using UAV-based RGB images17
A LiDAR-based framework for visualizing and quantifying forest void space: an intrinsic component of forest ecosystems17
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data17
An improved dual-baseline PolInSAR method for forest height inversion17
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe17
Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis17
Automated classification of valid and invalid satellite derived bathymetry with random forest17
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