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 2021-11-01 to 2025-11-01.)
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]282
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory132
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations126
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China98
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds96
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests93
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar89
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition81
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets78
Application of geospatial and remote sensing data to support locust management76
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature75
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations74
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning71
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa70
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps65
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples64
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics61
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models52
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification52
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data51
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system47
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation47
Background covariance discriminative dictionary learning for hyperspectral target detection46
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas46
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning45
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity45
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation44
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation44
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements44
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information44
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment44
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images43
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification43
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping43
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion43
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting43
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification43
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching42
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes41
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation40
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean39
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions39
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development39
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map39
The second dimension of spatial association39
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples39
MaGISter-mine: A 2D and 3D web application in the service of mining industry38
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds38
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes37
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification37
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images36
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence36
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata36
Shape-preserving mesh decimation for 3D building modeling36
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images36
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network35
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer35
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading35
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China34
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection34
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery34
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine34
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings33
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies33
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery33
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning33
Status, advancements and prospects of deep learning methods applied in forest studies32
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE32
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features32
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters32
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202032
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning32
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
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation31
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels31
Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion31
Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data31
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study31
Unlocking the InSAR potential for managing underground gas storage in salt caverns31
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton31
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy31
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection31
Assessing inclination angles of tree branches from terrestrial laser scan data using a skeleton extraction method30
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
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter30
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models30
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds30
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics30
Joint autofocus and registration for video-SAR by using sub-aperture point cloud30
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information30
GA-Net: A geometry prior assisted neural network for road extraction30
Non-affine georectification to improve the topographic fidelity of legacy geologic maps29
A new algorithm for intelligent detection of geohazards incorporating attention mechanism29
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor29
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images29
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests29
TRANCO: Thermo radiometric normalization of crop observations29
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model29
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China28
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales28
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam28
Optimal road matching by relaxation to min-cost network flow28
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality27
Interseasonal transfer learning for crop mapping using Sentinel-1 data27
Monitoring multidecadal coastline change and reconstructing tidal flat topography27
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery27
Global border watch: From land use change to joint action27
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models27
Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration27
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images27
A novel mechanism-guided retrieval framework for mangrove chlorophyll content considering leaf area index and spectral resolution based on active learning hybrid model27
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling26
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models26
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection26
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats26
Mapping cervid forage in Sweden using remote sensing and national forest inventory data26
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model26
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data25
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification25
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide25
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method24
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis24
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data24
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations24
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China24
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification24
TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery24
Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations24
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches24
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables24
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models23
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach23
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model23
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images23
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets23
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns23
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction23
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning23
An intensity-enhanced method for handling mobile laser scanning point clouds23
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing23
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands23
Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing23
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-222
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research22
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection22
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry22
Strengthening or weakening? Multi-year quantification and comparison of urban green space cooling effects and their key 2D/3D drivers22
Transforming remote sensing images to textual descriptions22
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas22
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent22
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results21
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing21
Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy21
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv821
Evaluating crop-specific responses to salinity and drought stress from remote sensing21
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes21
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland21
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula21
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits21
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions21
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard21
Multi-perspective perception of city image in Shanghai via massive short videos21
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island21
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds20
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data20
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city20
A framework for reconstructing building parametric models with hierarchical relationships from point clouds20
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia20
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning20
A deep learning crop model for adaptive yield estimation in large areas20
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia20
Global daily gap-free ocean color products from multi-satellite measurements20
Automatic detection to inventory road slopes using open LiDAR point clouds20
Estimating estuarine primary production using satellite data and machine learning20
Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality20
A semi-analytical radiative transfer model for explaining soil spectral features20
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image20
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency19
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection19
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation19
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA19
Optimizing crop type mapping for fairness19
Validation and comparison of surface shortwave and longwave radiation products over the three poles19
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity19
A strategy for tracing interactions in online collaborative geographic experiments19
Focused information learning method for change detection based on segmentation with limited annotations19
The approach to UAV image acquisition and processing for very shallow water mapping19
Estimating building height using scene classification and spatial geometry19
Forest aboveground biomass accumulation lags forest canopy recovery in degraded tropical forests of Ghana19
Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand19
A communication-efficient distributed deep learning remote sensing image change detection framework19
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau19
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling19
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution19
Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images19
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data19
An intercomparison of national and global land use and land cover products for Fiji19
A personalized bikeability-based cycling route recommendation method with machine learning18
An improved dual-baseline PolInSAR method for forest height inversion18
An unmixing-based BRDF correction in spectral remote sensing data18
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery18
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system18
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction18
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data18
OCAGraph: An effective observation capability association model for Earth observation sensor planning18
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
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion18
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images18
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network18
Unified building change detection pre-training method with masked semantic annotations18
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation18
Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation18
Validating remotely sensed land surface phenology with leaf out records from a citizen science network18
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
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning18
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing18
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network18
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning18
Predicting regional-scale groundwater levels at high spatial resolution using spatial Random Forest models18
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
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification17
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing17
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data17
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements17
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data17
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards17
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model17
Lithological mapping enhancement by integrating Sentinel 2 and gamma-ray data utilizing support vector machine: A case study from Egypt17
An improved deep learning approach for detection of maize tassels using UAV-based RGB images17
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data17
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery17
Parcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data17
A novel projection map driven multimodal fusion framework for ALS point cloud semantic segmentation17
Seasonal bean yield forecast for non-irrigated croplands through climate and vegetation index data: Geospatial effects17
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios17
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network17
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe17
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations17
Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model17
Contrasting features of cloud and radiative heating from multi-satellite observations over Oklahoma and Korea17
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine17
Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China17
Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis16
Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine16
TerrainFloodSense: Improving seamless flood mapping with cloudy satellite imagery via water occurrence and terrain data fusion16
Deep projective prediction of building facade footprints from ALS point cloud16
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction16
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 novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations16
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