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 2022-06-01 to 2026-06-01.)
ArticleCitations
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory370
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar197
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning121
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation115
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning109
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information102
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes101
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development97
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features79
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models69
Application of geospatial and remote sensing data to support locust management67
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map66
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images61
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system59
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification58
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images57
A SAR-based deep multi-feature fusion network (MDFLD-Net) for water leakage detection56
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets54
A distinct type of heavy rainfall with large raindrops over extratropical regions revealed by 10 years of GPM spaceborne radar measurements54
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples53
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading52
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]52
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds51
Combining two water type classification schemes for semi-analytical estimation of suspended particulate matter concentrations in various water bodies51
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa50
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps49
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment48
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning48
ViCxLSTM: An extended Long Short-term Memory vision transformer for complex remote sensing scene classification48
Predicting environmental suitability and future spread range of An. stephensi in the Greater Horn of Africa using remote sensing and ensemble modeling47
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine47
EL-Mamba: An edge-aware and locally-aggregated Mamba network for building height estimation using Sentinel-1 and Sentinel-2 imagery46
Disturbance history and canopy structure drive growing season albedo dynamics in boreal forests46
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes46
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition45
The second dimension of spatial association45
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images44
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas44
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean43
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds43
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching42
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests42
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence41
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics41
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings41
MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples41
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity40
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification40
Shape-preserving mesh decimation for 3D building modeling39
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata39
Contrasting trends in climatic and ecohydrological aridity over one-fifth of global drylands39
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations39
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE39
Identification and characterization of estuarine submesoscale fronts based on multisource high-resolution remote sensing39
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China39
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation38
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature38
Background covariance discriminative dictionary learning for hyperspectral target detection38
Unraveling three-decade dynamics and drivers of thermokarst lakes on the Tibetan Plateau38
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping36
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions36
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China36
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network35
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations35
Spatio-temporal variability and canonical seasonal regimes of tropospheric NO2 across India’s non-attainment cities: Insights from TROPOMI, ERA5 meteorology, and trend sensitivity analysis34
Phenology-Aligned multi-task temporal fusion framework for satellite-based triple-seasonal rice yield estimation in Southeast Asia33
Integrating aerial optical and bathymetric LiDAR data for coral reef mapping33
Land surface change detection after major volcanic eruptions in Indonesia using Machine learning and Spatial-Temporal transferability32
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean32
Knowledge-informed cascaded sampling for corn mapping across heterogeneous growing environments32
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation32
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation32
Status, advancements and prospects of deep learning methods applied in forest studies32
MaGISter-mine: A 2D and 3D web application in the service of mining industry32
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model31
Joint autofocus and registration for video-SAR by using sub-aperture point cloud31
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection31
A physics-based remote sensing framework for forest fire smoke detection toward early fire warning31
Interseasonal transfer learning for crop mapping using Sentinel-1 data31
Monitoring multidecadal coastline change and reconstructing tidal flat topography31
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning30
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy30
High-Resolution (0.9 m) terrace mapping in Low-Latitude hilly regions using deep learning and Area–Slope Denoising: A case study from Guangdong Province, China30
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling30
Analysis of the 4 December 2021 lahar on Mount Semeru using optical and SAR remote sensing30
Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion29
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection29
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 Plateau29
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery29
Unlocking the InSAR potential for managing underground gas storage in salt caverns29
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models29
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam29
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model29
Non-affine georectification to improve the topographic fidelity of legacy geologic maps28
TRANCO: Thermo radiometric normalization of crop observations28
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information28
Individual sapling-level leaf chlorophyll content estimation in Ginkgo biloba with weed background: A novel deep-learning approach coupling APUNet-YOLO with PROSAIL-DNN27
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton27
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study27
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor27
Field-scale water use assessment in the Lower Mississippi Alluvial Plain using OpenET27
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters26
A coupled InSAR—Integrated probability model framework for goaf locating under different extraction conditions26
Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data26
GA-Net: A geometry prior assisted neural network for road extraction26
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models26
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202026
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images26
CartoSR: An attention-enhanced deep GANs for single map super resolution reconstruction26
Corrigendum to “RPDNet: Street-level Road pavement damage detection with a real-time anchor-free network” [Int. J. Appl. Earth Observ. Geoinf. 146 (2026) 105070]26
City-scale building instance segmentation from LiDAR point clouds via structure-aware method26
A novel mechanism-guided retrieval framework for mangrove chlorophyll content considering leaf area index and spectral resolution based on active learning hybrid model26
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds26
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images26
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics25
Mapping cervid forage in Sweden using remote sensing and national forest inventory data25
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests25
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data25
A new algorithm for intelligent detection of geohazards incorporating attention mechanism25
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels25
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning25
Optimal road matching by relaxation to min-cost network flow25
Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration25
Trends and drivers of Arctic lake color change from Landsat time series25
Huayu: Advanced real-time satellite-based precipitation estimation25
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China25
VT-FLAC: A visible-thermal fusion network for robust wildlife monitoring in open-field environments using near-remote sensing imagery24
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models24
A spatially and temporally transferrable bi-temporal conditional generative adversarial network for landslide extraction24
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales24
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation24
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification23
UAV-based remote sensing estimation of above-ground biomass in different crops: A review23
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model23
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats23
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions23
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data23
DB-CRNet: A novel weakly supervised framework for Cross-Resolution land cover classification23
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images23
Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality22
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing22
Drivers of forest disturbance in Southeast Asia22
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds22
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard22
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands21
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection21
Evaluating crop-specific responses to salinity and drought stress from remote sensing21
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide21
On the use of SWOT altimetry data for monitoring coastal hydrodynamics21
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns21
Integrated analysis of harvest statistics provided by remote sensing, national forest inventories and administrative survey systems: An example from Italy21
Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations21
Multi-perspective perception of city image in Shanghai via massive short videos21
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image21
Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing21
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland21
Estimating estuarine primary production using satellite data and machine learning21
A semi-analytical radiative transfer model for explaining soil spectral features21
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research21
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv821
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets21
Automatic detection to inventory road slopes using open LiDAR point clouds21
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula21
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia20
Remote sensing of a gantry-equipped facility: Optimizing accuracy by integrating SfM photogrammetry and laserscan computer graphics through fixed base model geometry20
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing20
A deep learning crop model for adaptive yield estimation in large areas20
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits20
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results20
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-220
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island20
A framework for reconstructing building parametric models with hierarchical relationships from point clouds20
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models20
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification20
Strengthening or weakening? Multi-year quantification and comparison of urban green space cooling effects and their key 2D/3D drivers20
TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery20
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach20
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning20
OCAGraph: An effective observation capability association model for Earth observation sensor planning19
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method19
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches19
A strategy for tracing interactions in online collaborative geographic experiments19
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA19
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables19
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes19
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis19
An unmixing-based BRDF correction in spectral remote sensing data19
Evaluating the impact of canopy spatial heterogeneity on Solar-Induced chlorophyll fluorescence and Model-Based quantification19
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city19
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations19
Focused information learning method for change detection based on segmentation with limited annotations19
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation18
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution18
Estimating building height using scene classification and spatial geometry18
Contrasting features of cloud and radiative heating from multi-satellite observations over Oklahoma and Korea18
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data18
The approach to UAV image acquisition and processing for very shallow water mapping18
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation18
Exploring the impacts of dual-polarized vegetation indices and U-shaped deep learning architectures on SAR-based burned area mapping18
Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation18
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity18
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network18
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios18
Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand18
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe18
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model18
A novel projection map driven multimodal fusion framework for ALS point cloud semantic segmentation18
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia18
Unified building change detection pre-training method with masked semantic annotations18
Corrigendum to “Semi-automatic paddy rice intensity mapping for southern China with multiple cropping systems”. [Int. J. Appl. Earth Obs. Geoinform. 144C (2025) 104862]18
Forest aboveground biomass accumulation lags forest canopy recovery in degraded tropical forests of Ghana18
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
Optimizing crop type mapping for fairness18
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
A novel MT-InSAR method for robust estimation of permafrost deformation by integrating u test and multitier network strategy: a case study of the Beiluhe region of the Qinghai–Tibet Plateau18
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network18
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning18
CA-BAFormer: Unstructured burned area mapping via semantic connectivity-aware scheme using uni-temporal multi-spectral imagery17
Advanced Time series Multi-wavelength AOD Transformer (TMAT) model: joint retrieval of aerosol optical and microphysical properties using Himawari-8 AHI data17
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion17
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery17
Differential land deformation patterns and response mechanism to groundwater recovery in the Beijing-Tianjin-Hebei Plain revealed by reconstructing and clustering of TS-InSAR observations17
Mapping mangrove forest degradation using lidar and Landsat data17
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning17
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images17
A personalized bikeability-based cycling route recommendation method with machine learning17
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing17
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing17
Assessing the impact of road on sensitivity of large slow-moving landslides to precipitation by integrating multi-temporal InSAR and panel regression17
A communication-efficient distributed deep learning remote sensing image change detection framework17
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency17
Validating remotely sensed land surface phenology with leaf out records from a citizen science network17
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system17
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection17
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
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network17
MAC-DETR: Re-parameterized Mambaout for robust object detection in high-resolution remote sensing17
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification17
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 classification17
An intercomparison of national and global land use and land cover products for Fiji17
Towards language-based retrieval of complex geospatial data: A case study on UK National geographic database17
Human-in-the-loop based framework for solid waste dumps detection in remote sensing images17
Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images17
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling17
Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images16
Editorial Board16
Integrated assessment of land use and carbon storage changes in the Tulufan-Hami Basin under the background of urbanization and climate change16
Estimation of district-level spring barley yield in southern Sweden using multi-source satellite data and random forest approach16
Monitoring intertidal golden tides dominated by Ectocarpus siliculosus using Sentinel-2 imagery16
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