International Journal of Applied Earth Observation and Geoinformation

Papers
(The median citation count of International Journal of Applied Earth Observation and Geoinformation is 3. 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 2021-06-01 to 2025-06-01.)
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]217
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations177
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting87
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map86
Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold78
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence76
MaGISter-mine: A 2D and 3D web application in the service of mining industry76
Application of geospatial and remote sensing data to support locust management74
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information69
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds68
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network68
Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories65
Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading62
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features61
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar60
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes57
An interactive and iterative method for crop mapping through crowdsourcing optimized field samples57
Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition56
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning50
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory44
3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds43
Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations41
Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests41
Extraction of local structure information of point clouds through space-filling curve for semantic segmentation40
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning40
Shape-preserving mesh decimation for 3D building modeling39
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa39
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China39
The second dimension of spatial association38
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development38
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata38
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery37
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification37
Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature37
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine37
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps37
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer36
Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression35
Automatic registration of point cloud and panoramic images in urban scenes based on pole matching35
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets35
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation35
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation35
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes35
Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery35
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean34
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system34
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification34
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models33
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity33
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE32
SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification32
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images32
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings32
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas32
Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data32
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images31
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation31
Status, advancements and prospects of deep learning methods applied in forest studies31
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images30
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions30
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion30
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning30
Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 202029
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping29
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality29
Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling29
Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning29
Background covariance discriminative dictionary learning for hyperspectral target detection29
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning28
Global border watch: From land use change to joint action28
Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape28
Interseasonal transfer learning for crop mapping using Sentinel-1 data28
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation27
Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales27
GA-Net: A geometry prior assisted neural network for road extraction27
Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models27
3DSAC: Size Adaptive Clustering for 3D object detection in point clouds27
Secondary Iron Mineral Detection via Hyperspectral Unmixing Analysis with Sentinel-2 Imagery26
Multi-decadal Dutch coastal dynamic mapping with multi-source remote sensing imagery26
Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information26
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats26
Sources of uncertainty in satellite-derived chlorophyll-a concentration—An Adriatic Sea case study26
Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels26
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 Plateau26
How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data26
Cross-section extraction and model reconstruction of lava tube based on L1-medial skeleton26
Non-affine georectification to improve the topographic fidelity of legacy geologic maps26
Monitoring multidecadal coastline change and reconstructing tidal flat topography26
A new algorithm for intelligent detection of geohazards incorporating attention mechanism26
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection26
Fast spatial-spectral random forests for thick cloud removal of hyperspectral images25
Joint autofocus and registration for video-SAR by using sub-aperture point cloud25
Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests25
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection25
TRANCO: Thermo radiometric normalization of crop observations25
Revealing early pest source points and spreading laws of Pantana phyllostachysae Chao in Moso bamboo (Phyllostachys pubescens) forests from Sentinel-2A/B images25
Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy25
Urban development induced subsidence in deltaic environments: A case study in Hanoi, Vietnam25
Mapping 3D plant chlorophyll distribution from hyperspectral LiDAR by a leaf-canopyradiative transfer model24
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification24
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer24
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks24
Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics24
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery24
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models24
Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model24
Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China24
Optimal road matching by relaxation to min-cost network flow24
Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models24
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter24
A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor24
Satellite retrieval of bottom reflectance from high-spatial-resolution multispectral imagery in shallow coral reef waters24
Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China23
Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different Agro-Climatic zones of India using copula23
Interpreting differences in access and accessibility to urban greenspace through geospatial analysis23
Monitoring cyanobacterial blooms in China’s large lakes based on MODIS from both Terra and Aqua satellites with a novel automatic approach23
A framework for reconstructing building parametric models with hierarchical relationships from point clouds23
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results23
Assessing inclination angles of tree branches from terrestrial laser scan data using a skeleton extraction method23
Multi-temporal spectral reflectance of tropical savanna understorey species and implications for hyperspectral remote sensing23
An approach for reflectance anisotropy retrieval from UAV-based oblique photogrammetry hyperspectral imagery23
Vietnam wetland cover map: using hydro-periods Sentinel-2 images and Google Earth Engine to explore the mapping method of tropical wetland23
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images23
Estimating estuarine primary production using satellite data and machine learning22
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets22
Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data22
Long-term remote sensing monitoring on LUCC around Chaohu Lake with new information of algal bloom and flood submerging22
CrossGeoNet: A Framework for Building Footprint Generation of Label-Scarce Geographical Regions22
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns22
An intensity-enhanced method for handling mobile laser scanning point clouds22
Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard22
An automatic framework for pylon detection by a hierarchical coarse-to-fine segmentation of powerline corridors from UAV LiDAR point clouds22
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island22
Network invulnerability modeling of daily necessity supply based on cascading failure considering emergencies and dynamic demands22
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning22
Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia21
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model21
Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing21
Topographic knowledge-aware network for automatic small-scale impact crater detection from lunar digital elevation models21
The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research21
Thermal remote sensing for mapping the sub-Arctic permafrost and refining its southern limits21
Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry21
Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method21
Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data21
Graph-infused hybrid vision transformer: Advancing GeoAI for enhanced land cover classification20
A deep learning crop model for adaptive yield estimation in large areas20
A semi-analytical radiative transfer model for explaining soil spectral features20
Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-220
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent20
Evaluating crop-specific responses to salinity and drought stress from remote sensing20
The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas20
Automatic detection to inventory road slopes using open LiDAR point clouds20
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China20
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes20
Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning20
Transforming remote sensing images to textual descriptions20
A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables20
YOLOShipTracker: Tracking ships in SAR images using lightweight YOLOv820
Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?20
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city20
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables20
Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations20
Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches20
DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image20
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction20
Global daily gap-free ocean color products from multi-satellite measurements20
Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia19
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation19
OCAGraph: An effective observation capability association model for Earth observation sensor planning19
An intercomparison of national and global land use and land cover products for Fiji19
Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide19
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations19
How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection19
Correcting land surface temperature from thermal imager by considering heterogeneous emissivity19
Focused information learning method for change detection based on segmentation with limited annotations19
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network19
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data19
Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale19
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning19
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing19
Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing19
Seasonal bean yield forecast for non-irrigated croplands through climate and vegetation index data: Geospatial effects19
Optimizing the spatial scale for neighborhood environment characteristics using fine-grained data18
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion18
A communication-efficient distributed deep learning remote sensing image change detection framework18
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery18
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine18
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network18
Unified building change detection pre-training method with masked semantic annotations18
A strategy for tracing interactions in online collaborative geographic experiments18
An improved dual-baseline PolInSAR method for forest height inversion18
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau18
Hurricane Irma impact on biophysical and biochemical features of canopy vegetation in the Santa Fe River Basin, Florida18
Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation18
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe18
Parcel-based summer maize mapping and phenology estimation combined using Sentinel-2 and time series Sentinel-1 data18
Lithological mapping enhancement by integrating Sentinel 2 and gamma-ray data utilizing support vector machine: A case study from Egypt17
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
Validating remotely sensed land surface phenology with leaf out records from a citizen science network17
MDAFormer: Multi-level difference aggregation transformer for change detection of VHR optical imagery17
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images17
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction17
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements17
Variation mechanisms of suspended sediment concentration in complex estuary determined through remote sensing, observation and modeling coupling17
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution17
Validation and comparison of surface shortwave and longwave radiation products over the three poles17
Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model17
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification17
A personalized bikeability-based cycling route recommendation method with machine learning17
Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model17
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency17
Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network16
Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China16
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 classification16
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards16
An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning16
Robust change detection for remote sensing images based on temporospatial interactive attention module16
Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine16
Multi-scale monitoring of rice aboveground biomass by combining spectral and textural information from UAV hyperspectral images16
Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA16
PolyU-BPCoMa: A dataset and benchmark towards mobile colorized mapping using a backpack multisensorial system16
An improved deep learning approach for detection of maize tassels using UAV-based RGB images16
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 China16
An unmixing-based BRDF correction in spectral remote sensing data16
Automatic detection of active geohazards with millimeter-to-meter-scale deformation and quantitative analysis of factors influencing spatial distribution: A case study in the Hexi corridor, China16
Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-216
Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds16
S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data16
Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning16
A multi-layer fusion image enhancement method for visual odometry under poor visibility scenarios16
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data16
Editorial Board16
Urban inundation mapping by coupling 1D − 2D models and model comparison16
Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction16
Urban development analysis using built-up area maps based on multiple high-resolution satellite data16
A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data15
Using Landsat 8 OLI data to differentiate Sargassum and Ulva prolifera blooms in the South Yellow Sea15
A multi-scale contextual attention network for remote sensing visual question answering15
Automated extraction of building instances from dual-channel airborne LiDAR point clouds15
Distant object localization with a single image obtained from a smartphone in an urban environment15
Spatiotemporal expansion modes of urban areas on the Loess Plateau from 1992 to 2021 based on nighttime light images15
Corrigendum to “L-band microwave-retrieved fuel temperature predicts million-hectare-scale destructive wildfires” [Int. J. Appl. Earth Obs. Geoinf. 129 (2024) 103776]15
A texture feature extraction method considering spatial continuity and gray diversity15
Integrated assessment of land use and carbon storage changes in the Tulufan-Hami Basin under the background of urbanization and climate change15
Multi-spatiotemporal patterns of aerosol optical depth and influencing factors during 2000–2020 from two spatial perspectives: The entire Yellow River Basin region and its urban agglomerations15
Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data15
Diffusion models for spatio-temporal-spectral fusion of homogeneous Gaofen-1 satellite platforms15
Multi-scale frequency-guided two-stream network for hyperspectral anomaly detection15
WaterHRNet: A multibranch hierarchical attentive network for water body extraction with remote sensing images15
Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models15
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