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 2021-10-01 to 2025-10-01.)
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]268
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory199
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations125
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China116
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata95
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds94
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification90
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests86
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading79
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features76
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar75
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition74
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds71
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images70
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation66
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas64
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets64
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting60
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map56
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching50
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes49
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence48
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China45
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation44
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning44
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data43
MaGISter-mine: A 2D and 3D web application in the service of mining industry43
Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold43
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity43
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network42
Background covariance discriminative dictionary learning for hyperspectral target detection42
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery42
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer42
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions42
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system41
Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression41
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping41
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings40
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification40
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples40
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean39
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics39
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE39
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples38
Application of geospatial and remote sensing data to support locust management38
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion38
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development38
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery37
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation37
Shape-preserving mesh decimation for 3D building modeling37
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations37
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature37
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation36
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps36
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine36
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa36
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes36
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models36
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information35
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification35
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images34
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning34
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning34
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification34
The second dimension of spatial association34
Status, advancements and prospects of deep learning methods applied in forest studies34
Non-affine georectification to improve the topographic fidelity of legacy geologic maps33
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images33
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202033
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling33
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters32
Optimal road matching by relaxation to min-cost network flow32
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models32
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning32
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 Plateau31
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information31
Assessing inclination angles of tree branches from terrestrial laser scan data using a skeleton extraction method31
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales31
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy30
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection30
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels30
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning30
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation30
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China30
Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data30
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter30
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study30
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models30
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data29
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model29
Unlocking the InSAR potential for managing underground gas storage in salt caverns29
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton29
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats29
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery29
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model29
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor29
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images29
TRANCO: Thermo radiometric normalization of crop observations28
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests28
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds28
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images28
Joint autofocus and registration for video-SAR by using sub-aperture point cloud28
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics28
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models28
Interseasonal transfer learning for crop mapping using Sentinel-1 data28
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam28
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification28
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery28
Global border watch: From land use change to joint action28
GA-Net: A geometry prior assisted neural network for road extraction27
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection27
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks27
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer27
Monitoring multidecadal coastline change and reconstructing tidal flat topography27
Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China27
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality27
A new algorithm for intelligent detection of geohazards incorporating attention mechanism27
Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion27
Long-term remote sensing monitoring on LUCC around Chaohu Lake with new information of algal bloom and flood submerging26
Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality26
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits26
A framework for reconstructing building parametric models with hierarchical relationships from point clouds26
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide26
A semi-analytical radiative transfer model for explaining soil spectral features26
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis26
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image26
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches26
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification26
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island25
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent25
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry25
Evaluating crop-specific responses to salinity and drought stress from remote sensing25
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results24
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data24
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets24
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data24
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula24
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions24
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia24
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables24
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations24
Estimating estuarine primary production using satellite data and machine learning24
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv824
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing23
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images23
Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing23
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
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method23
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands23
An intensity-enhanced method for handling mobile laser scanning point clouds23
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard22
A deep learning crop model for adaptive yield estimation in large areas22
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models22
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing22
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research22
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning22
A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables22
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes22
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas22
TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery22
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model22
Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations22
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland22
Automatic detection to inventory road slopes using open LiDAR point clouds22
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection22
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China22
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns22
An approach for reflectance anisotropy retrieval from UAV-based oblique photogrammetry hyperspectral imagery21
Global daily gap-free ocean color products from multi-satellite measurements21
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city21
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia21
Hurricane Irma impact on biophysical and biochemical features of canopy vegetation in the Santa Fe River Basin, Florida21
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds21
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach21
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-221
Validation and comparison of surface shortwave and longwave radiation products over the three poles21
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing21
Transforming remote sensing images to textual descriptions21
Seasonal bean yield forecast for non-irrigated croplands through climate and vegetation index data: Geospatial effects21
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network21
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing20
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine20
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations20
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity20
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery20
Focused information learning method for change detection based on segmentation with limited annotations20
OCAGraph: An effective observation capability association model for Earth observation sensor planning20
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation20
A communication-efficient distributed deep learning remote sensing image change detection framework20
An intercomparison of national and global land use and land cover products for Fiji20
A strategy for tracing interactions in online collaborative geographic experiments20
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection20
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data20
An improved dual-baseline PolInSAR method for forest height inversion20
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network20
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency20
An improved deep learning approach for detection of maize tassels using UAV-based RGB images19
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery19
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA19
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data19
Estimating building height using scene classification and spatial geometry19
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning19
Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model19
The approach to UAV image acquisition and processing for very shallow water mapping19
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards19
A personalized bikeability-based cycling route recommendation method with machine learning19
Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images19
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling19
Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand19
Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches, and comparison to global datasets19
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 classification19
Optimizing crop type mapping for fairness19
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation18
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification18
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network18
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau18
Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning18
Forest aboveground biomass accumulation lags forest canopy recovery in degraded tropical forests of Ghana18
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images18
Lithological mapping enhancement by integrating Sentinel 2 and gamma-ray data utilizing support vector machine: A case study from Egypt18
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
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system18
An unmixing-based BRDF correction in spectral remote sensing data18
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements18
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data18
Validating remotely sensed land surface phenology with leaf out records from a citizen science network17
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model17
3D building reconstruction from single street view images using deep learning17
Corrigendum to “L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires” [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776]17
Corrigendum to “Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction” [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544]17
Distant object localization with a single image obtained from a smartphone in an urban environment17
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios17
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data17
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning17
Editorial Board17
Convolutional neural network model for soil moisture prediction and its transferability analysis based on laboratory Vis-NIR spectral data17
Diffusion models for spatio-temporal-spectral fusion of homogeneous Gaofen-1 satellite platforms17
A multi-unmanned aerial vehicle fast path-planning method based on non-rigid hierarchical discrete grid voxel environment modeling17
Characterising maize and intercropped maize spectral signatures for cropping pattern classification17
Contrasting features of cloud and radiative heating from multi-satellite observations over Oklahoma and Korea17
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe17
Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-217
Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction17
Automated classification of valid and invalid satellite derived bathymetry with random forest17
Few-shot object detection on aerial imagery via deep metric learning and knowledge inheritance17
Spatiotemporal expansion modes of urban areas on the Loess Plateau from 1992 to 2021 based on nighttime light images17
Mapping spatio-temporal patterns in global tree cover heterogeneity: Links with forest degradation and recovery17
Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation17
0.077608108520508