International Journal of Applied Earth Observation and Geoinformation

Papers
(The TQCC of International Journal of Applied Earth Observation and Geoinformation is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
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]206
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations171
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data80
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting79
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map74
Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold72
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification71
MaGISter-mine: A 2D and 3D web application in the service of mining industry68
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images67
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence67
Application of geospatial and remote sensing data to support locust management66
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images61
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information60
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds59
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network58
Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories57
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading56
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes55
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings49
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features42
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation41
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar41
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples39
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes39
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition38
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning37
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory37
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning37
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching36
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations36
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning36
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds36
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests36
Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression35
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation35
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas35
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa35
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets35
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China35
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata34
Shape-preserving mesh decimation for 3D building modeling34
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development34
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification33
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery33
The second dimension of spatial association33
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions33
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity32
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps32
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE31
Background covariance discriminative dictionary learning for hyperspectral target detection31
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine31
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer31
Status, advancements and prospects of deep learning methods applied in forest studies31
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature31
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion30
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images30
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping30
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation29
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation29
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification29
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery29
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system29
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling28
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models28
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202028
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean28
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection27
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning27
Spectral signature analysis of false positive burned area detection from agricultural harvests using Sentinel-2 data27
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification26
Assessing inclination angles of tree branches from terrestrial laser scan data using a skeleton extraction method26
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model26
Interseasonal transfer learning for crop mapping using Sentinel-1 data26
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality26
Joint autofocus and registration for video-SAR by using sub-aperture point cloud26
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics26
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models26
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor26
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images25
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam25
Optimal road matching by relaxation to min-cost network flow25
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds25
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks25
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection24
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species24
Non-affine georectification to improve the topographic fidelity of legacy geologic maps24
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study24
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning24
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton24
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats24
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation24
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model24
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels24
Secondary Iron Mineral Detection via Hyperspectral Unmixing Analysis with Sentinel-2 Imagery24
GA-Net: A geometry prior assisted neural network for road extraction24
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images23
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 Plateau23
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery23
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery23
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests23
TRANCO: Thermo radiometric normalization of crop observations23
Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape23
A new algorithm for intelligent detection of geohazards incorporating attention mechanism23
Monitoring multidecadal coastline change and reconstructing tidal flat topography23
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information23
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models22
Global border watch: From land use change to joint action22
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China22
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach22
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales22
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer22
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models22
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data22
A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables22
Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China22
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters22
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter22
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy22
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images22
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification22
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction22
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes21
A framework for reconstructing building parametric models with hierarchical relationships from point clouds21
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations21
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city21
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results21
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland21
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning21
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv821
Global daily gap-free ocean color products from multi-satellite measurements21
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches21
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-221
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis20
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions20
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula20
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns20
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets20
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data20
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data20
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits20
Estimating estuarine primary production using satellite data and machine learning20
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island20
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands20
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas20
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing20
An approach for reflectance anisotropy retrieval from UAV-based oblique photogrammetry hyperspectral imagery20
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds20
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image20
An intensity-enhanced method for handling mobile laser scanning point clouds20
Evaluating crop-specific responses to salinity and drought stress from remote sensing20
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research19
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method19
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard19
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models19
Automatic detection to inventory road slopes using open LiDAR point clouds19
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing19
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China19
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning19
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry19
Transforming remote sensing images to textual descriptions19
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model19
Long-term remote sensing monitoring on LUCC around Chaohu Lake with new information of algal bloom and flood submerging19
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia19
Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?18
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA18
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system18
A semi-analytical radiative transfer model for explaining soil spectral features18
A deep learning crop model for adaptive yield estimation in large areas18
An intercomparison of national and global land use and land cover products for Fiji18
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction18
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent18
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing18
Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model18
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
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements17
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations17
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection17
Seasonal bean yield forecast for non-irrigated croplands through climate and vegetation index data: Geospatial effects17
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia17
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data17
A personalized bikeability-based cycling route recommendation method with machine learning17
Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale17
Focused information learning method for change detection based on segmentation with limited annotations17
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network17
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion16
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data16
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation16
OCAGraph: An effective observation capability association model for Earth observation sensor planning16
An improved deep learning approach for detection of maize tassels using UAV-based RGB images16
Parcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data16
Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches, and comparison to global datasets16
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe16
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation16
Hurricane Irma impact on biophysical and biochemical features of canopy vegetation in the Santa Fe River Basin, Florida16
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing16
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning16
A communication-efficient distributed deep learning remote sensing image change detection framework16
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery16
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine16
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification16
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery16
Unified building change detection pre-training method with masked semantic annotations16
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network16
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity16
A strategy for tracing interactions in online collaborative geographic experiments16
A framework for registering UAV-based imagery for crop-tracking in Precision Agriculture16
An improved dual-baseline PolInSAR method for forest height inversion16
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model16
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau16
Editorial Board15
Multi-scale monitoring of rice aboveground biomass by combining spectral and textural information from UAV hyperspectral images15
Lithological mapping enhancement by integrating Sentinel 2 and gamma-ray data utilizing support vector machine: A case study from Egypt15
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network15
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards15
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios15
Validating remotely sensed land surface phenology with leaf out records from a citizen science network15
Sparse anchoring guided high-resolution capsule network for geospatial object detection from remote sensing imagery15
Urban development analysis using built-up area maps based on multiple high-resolution satellite data15
Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds15
Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images15
Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China15
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images15
An unmixing-based BRDF correction in spectral remote sensing data15
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data15
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning15
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling15
Combining ICESat-2 photons and Google Earth Satellite images for building height extraction15
Automated classification of valid and invalid satellite derived bathymetry with random forest15
Few-shot object detection on aerial imagery via deep metric learning and knowledge inheritance15
Validation and comparison of surface shortwave and longwave radiation products over the three poles15
Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning15
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency15
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution15
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data15
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 classification15
Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-215
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations15
A graph-based multimodal data fusion framework for identifying urban functional zone14
Spectral domain strategies for hyperspectral super-resolution: Transfer learning and channel enhance network14
UrbanSegNet: An urban meshes semantic segmentation network using diffusion perceptron and vertex spatial attention14
Using Landsat 8 OLI data to differentiate Sargassum and Ulva prolifera blooms in the South Yellow Sea14
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction14
A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data14
Effects of increasing spatial resolution on the spatial information content and accuracy of downward surface shortwave radiation14
A whale optimization algorithm–based cellular automata model for urban expansion simulation14
A texture feature extraction method considering spatial continuity and gray diversity14
Corrigendum to “L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires” [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776]14
Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States14
Unraveling near real-time spatial dynamics of population using geographical ensemble learning14
Characterising maize and intercropped maize spectral signatures for cropping pattern classification14
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