International Journal of Applied Earth Observation and Geoinformation

Papers
(The TQCC of International Journal of Applied Earth Observation and Geoinformation is 6. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Toward operational validation systems for global satellite-based terrestrial essential climate variables142
Accurate estimation of grain number per panicle in winter wheat by synergistic use of UAV imagery and meteorological data136
Plant Phenology Index leveraging over conventional vegetation indices to establish a new remote sensing benchmark of GPP for northern ecosystems63
Low-variance estimation of live fuel moisture content using VIIRS data through radiative transfer model59
Change detection in heterogeneous images based on multiple pseudo-homogeneous image pairs58
Spatiotemporal trends in Anopheles funestus breeding habitats56
The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning54
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory50
Configuration of public transportation stations in Hong Kong based on population density prediction by machine learning50
Diffuse attenuation coefficient and bathymetry retrieval in shallow water environments by integrating satellite laser altimetry with optical remote sensing49
NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields49
Reduced sediment load and vegetation restoration leading to clearer water color in the Yellow River: Evidence from 38 years of Landsat observations47
Small but mighty: Enhancing 3D point clouds semantic segmentation with U-Next framework47
CUG-STCN: A seabed topography classification framework based on knowledge graph-guided vision mamba network45
Mapping open-pit mining area in complex mining and mixed land cover zone using Landsat imagery43
DF-DRUNet: A decoder fusion model for automatic road extraction leveraging remote sensing images and GPS trajectory data40
Multi-stage convolutional autoencoder network for hyperspectral unmixing40
Inventory of close-to-nature forest stands using terrestrial mobile laser scanning39
Detection of surface water temperature variations of Mongolian lakes benefiting from the spatially and temporally gap-filled MODIS data37
A temporal difference matrix for historical cumulative change detection in time series PolSAR data36
Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective36
Automatic mapping of aquaculture activity in the Atlantic Ocean35
Tree species classification using Sentinel-2 imagery and Bayesian inference33
A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments33
Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning33
Self-supervised learning with deep clustering for target detection in hyperspectral images with insufficient spectral variation prior32
Improving country-wide individual tree detection using local maxima methods based on statistically modeled forest structure information31
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification30
Transformers for mapping burned areas in Brazilian Pantanal and Amazon with PlanetScope imagery29
Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network29
Early detection of tree encroachment in high voltage powerline corridor using growth model and UAV-borne LiDAR29
Modeling tree canopy height using machine learning over mixed vegetation landscapes29
On the ability of dual-polarimetric SAR measurements to observe lava flows under different volcanic environments29
Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network29
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer28
Editorial Board28
DMSC-Net: A deep Multi-Scale context network for 3D object detection of indoor point clouds28
Global assessments of two blended microwave soil moisture products CCI and SMOPS with in-situ measurements and reanalysis data28
Comparison of bias-corrected multisatellite precipitation products by deep learning framework27
Multi-level localization trajectory alignment and repairing in complex environment26
Drift-aware and correction on-the-fly: Airborne LiDAR and RGB cameras online calibration in natural environments26
Root plates of uprooted trees − Automatic detection and biotransport estimation using LiDAR data and field mapping26
Maritime ship detection with concise polarimetric characterization pattern26
Iterative mapping of probabilities: A data fusion framework for generating accurate land cover maps that match area statistics26
A context-structural feature decoupling change detection network for detecting earthquake-triggered damage26
Optimizing the detection of emerging infections using mobility-based spatial sampling26
Comparison between image- and surface-derived displacement fields for landslide monitoring using an unmanned aerial vehicle25
A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms25
Multi-sensor fusion for robust localization with moving object segmentation in complex dynamic 3D scenes25
Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm25
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes24
Facilitating urban tourism governance with crowdsourced big data: A framework based on Shenzhen and Jiangmen, China24
DsTer: A dense spectral transformer for remote sensing spectral super-resolution24
Mapping hydrocarbon microseepage prospect areas by integrated studies of ASTER processing, geochemistry and geophysical surveys in Assam-Arakan Fold Belt, NE India23
Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan23
Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds23
Two periods of geodetic glacier mass balance at Eastern Nyainqentanglha derived from multi-platform bistatic SAR interferometry23
A multi-level deformable gated aggregated network for hyperspectral image classification23
Accurate contour preservation for semantic segmentation by mitigating the impact of pseudo-boundaries23
An efficient image-guided-based 3D point cloud moving object segmentation with transformer-attention in autonomous driving22
3D building similarity for a random single-view-image pair based on a local 3D shape22
Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features22
Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development22
Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA21
Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management21
Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network21
Satellite product to map drought and extreme precipitation trend in Andalusia, Spain: A novel method to assess heritage landscapes at risk21
The relationship between remotely-sensed spectral heterogeneity and bird diversity is modulated by landscape type21
Line-based deep learning method for tree branch detection from digital images21
Automated deformation detection and interpretation using InSAR data and a multi-task ViT model21
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE21
Direction-dominated change vector analysis for forest change detection21
Observed strong atmospheric water constraints on forest photosynthesis using eddy covariance and satellite-based data across the Northern Hemisphere21
High kinetic energy mesoscale eddy identification based on multi-task learning and multi-source data20
The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency response20
A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information20
Semantic-aware room-level indoor modeling from point clouds20
A GIS-big data model for improving the coverage and analysis processes of territory observation, and integrating ground-based observations with retrospective meteorological data20
Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information20
Guided by model quality: UAV path planning for complete and precise 3D reconstruction of complex buildings19
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system19
Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners19
Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology19
Progressive spatiotemporal image fusion with deep neural networks19
A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes19
Recognition of thaw slumps based on machine learning and UAVs: A case study in the Qilian Mountains, northeastern Qinghai-Tibet Plateau19
A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification19
Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data19
GFSegNet: A multi-scale segmentation model for mining area ground fissures19
Phenological and physiological responses of the terrestrial ecosystem to the 2019 drought event in Southwest China: Insights from satellite measurements and the SSiB2 model19
MaGISter-mine: A 2D and 3D web application in the service of mining industry19
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning18
Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning18
Dynamic graph attention networks for point cloud landslide segmentation18
Pre-seasonal temperature trend break dominating the trend break in autumn grassland phenology in China18
Automated extraction of tunnel electricity transmission system: An object-level approach with mobile laser scanning data18
A hybrid method for MT-InSAR phase unwrapping for deformation monitoring in urban areas18
Disaggregation of remote sensing and model-based data for 1 km daily seamless soil moisture18
An improved surface water extraction method by integrating multi-type priori information from remote sensing18
Reproducing computational processes in service-based geo-simulation experiments18
Improving the fusion of global soil moisture datasets from SMAP, SMOS, ASCAT, and MERRA2 by considering the non-zero error covariance18
Cross-Modal feature description for remote sensing image matching18
Satellite observed new mechanism of Kuroshio intrusion into the northern South China Sea18
Characteristics inversion of underground goaf based on InSAR techniques and PIM18
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata18
Deeply-supervised pseudo learning with small class-imbalanced samples for hyperspectral image classification18
Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold17
Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 201917
Density vs. Cover: Which is the better choice as the proxy for plant community species diversity estimated by spectral indexes?17
Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery17
An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images17
Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation17
Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 202017
CCNR: Cross-regional context and noise regularization for SAR image segmentation16
Spectral discrimination of invasive Lantana camara L. From co-occurring species16
LiDAR localization at 100 FPS: A map-aided and template descriptor-based global method16
Estimation of pixel-level seismic vulnerability of the building environment based on mid-resolution optical remote sensing images16
Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles16
Hierarchical semantic segmentation of urban scene point clouds via group proposal and graph attention network16
Structural displacement monitoring using ground-based synthetic aperture radar16
Past decade above-ground biomass change comparisons from four multi-temporal global maps16
Vectorial and topologically valid segmentation of forestry road networks from ALS data16
Trail camera networks provide insights into satellite-derived phenology for ecological studies16
An optimized machine learning approach to water pollution variation monitoring with time-series Landsat images16
Mapping fire-impacted refugee camps using the integration of field data and remote sensing approaches16
DRSNet: Novel architecture for small patch and low-resolution remote sensing image scene classification16
A methodological framework for specular return removal from photon-counting LiDAR data16
A boundary and voxel-based 3D geological data management system leveraging BIM and GIS16
Change detection and update of 3D sparse map by merging geometry and appearance16
The unsuPervised shAllow laNdslide rapiD mApping: PANDA method applied to severe rainfalls in northeastern appenine (Italy)16
Estimation of land-use/land-cover changes associated with energy footprints and other disturbance agents in the Upper Peace Region of Alberta Canada from 1985 to 2015 using Landsat data16
Extraction of urban multi-class from high-resolution images using pyramid generative adversarial networks16
Road extraction in remote sensing data: A survey15
Extraction of high-accuracy control points using ICESat-2 ATL03 in urban areas15
Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network15
Refinement of semantic 3D building models by reconstructing underpasses from MLS point clouds15
LV-GCNN: A lossless voxelization integrated graph convolutional neural network for surface reconstruction from point clouds15
A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing15
An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals15
Quantitative estimation for the impact of mining activities on vegetation phenology and identifying its controlling factors from Sentinel-2 time series15
Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images15
Background covariance discriminative dictionary learning for hyperspectral target detection15
Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves15
An effective superpixel-based graph convolutional network for small waterbody extraction from remotely sensed imagery15
Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning15
A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction14
River water segmentation in surveillance camera images: A comparative study of offline and online augmentation using 32 CNNs14
Assessment of soil salinity using explainable machine learning methods and Landsat 8 images14
Patch-based M3C2: Towards lower-uncertainty and higher-resolution deformation analysis of 3D point clouds14
IPAWL: An integrated power aware Wireless sensor network and Location-Based social network for incidence reporting14
YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery14
A novel spectral index for estimating fractional cover of non-photosynthetic vegetation using near-infrared bands of Sentinel satellite14
An intelligent framework for spatiotemporal simulation of flooding considering urban underlying surface characteristics14
New three red-edge vegetation index (VI3RE) for crop seasonal LAI prediction using Sentinel-2 data14
3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion14
Revisiting spatial optimization in the era of geospatial big data and GeoAI14
Examining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions14
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation14
Evaluating the potential of high-resolution hyperspectral UAV imagery for grapevine viral disease detection in Australian vineyards14
Mapping saffron fields and their ages with Sentinel-2 time series in north-east Iran14
Road marking extraction in UAV imagery using attentive capsule feature pyramid network14
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping14
An improved distributed scatterers extraction algorithm for monitoring tattered ground surface subsidence with DSInSAR: A case study of loess landform in Tongren county14
DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images14
Remote sensing estimation of water storage in the channel-type reservoirs under unknown underwater topographic data14
Reconstructing fresh green leaf spectra in the SWIR-2 region (2001–2500 nm) collected in a humid environment by referring to publicly available green leaf spectral databases14
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation14
Application of an improved U-Net with image-to-image translation and transfer learning in peach orchard segmentation14
Comparative analysis of SAOCOM and Sentinel-1 data for surface soil moisture retrieval using a change detection method in a semiarid region (Douro River’s basin, Spain)14
A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity14
Fusion of satellite and street view data for urban traffic accident hotspot identification14
Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach14
Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China14
Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat14
Revealing geographic transmission pattern of COVID-19 using neighborhood-level simulation with human mobility data and SEIR model: A case study of South Carolina14
Deep Siamese Network for annual change detection in Beijing using Landsat satellite data14
Evaluation of tree stump measurement methods for estimating diameter at breast height and tree height14
Integrated study of water levels and water storage variations using GNSS-MR and remote Sensing: A case study of Sarez Lake, the world's Highest-Altitude dammed lake14
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery13
Assessing GEDI-NASA system for forest fuels classification using machine learning techniques13
Gaussian process regression-based forest above ground biomass retrieval from simulated L-band NISAR data13
Leveraging google earth engine cloud computing for large-scale arctic wetland mapping13
Status, advancements and prospects of deep learning methods applied in forest studies13
A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes13
Back to geometry: Efficient indoor space segmentation from point clouds by 2D–3D geometry constrains13
Investigating overlapping deformation patterns of the Beijing Plain by independent component analysis of InSAR observations13
Iterative Deep Learning (IDL) for agricultural landscape classification using fine spatial resolution remotely sensed imagery13
Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI13
The second dimension of spatial association13
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe13
Impact of the number of dates and their sampling on a NDVI time series reconstruction methodology to monitor urban trees with Ven13
Predicting the location of larval habitats of Anopheles mosquitoes using remote sensing and soil type data13
Heterogeneous graph traffic prediction considering spatial information around roads13
Enhancing the groundwater storage estimates by integrating MT-InSAR, GRACE/GRACE-FO, and hydraulic head measurements in Henan Plain (China)13
A novel surface deformation prediction method based on AWC-LSTM model13
Geological remote sensing interpretation via a local-to-global sensitive feature fusion network13
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV13
An open science and open data approach for the statistically robust estimation of forest disturbance areas13
Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire13
Spatiotemporal fusion method to simultaneously generate full-length normalized difference vegetation index time series (SSFIT)13
Automated detection of former field systems from airborne laser scanning data: a new approach for Historical Ecology13
Tracking annual dynamics of mangrove forests in mangrove National Nature Reserves of China based on time series Sentinel-2 imagery during 2016–202013
A high temporal resolution NDVI time series to monitor drought events in the Horn of Africa13
Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model13
Shape-preserving mesh decimation for 3D building modeling13
Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques13
Enhanced all-weather precipitable water vapor retrieval from MODIS near-infrared bands using machine learning12
PhySoilNet: A deep learning downscaling model for microwave satellite soil moisture with physical rule constraint12
SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps12
Low-dimensional multiscale fast SAR image registration method12
DeLA: An extremely faster network with decoupled local aggregation for large scale point cloud learning12
Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression12
Creating 1-km long-term (1980–2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated12
Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review12
An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction12
Geospatial large language model trained with a simulated environment for generating tool-use chains autonomously12
Uncovering the seasonal dynamics of terrestrial oil spills through multi-temporal and multi-frequency Synthetic Aperture radar (SAR) observations12
Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&2 data applied to small seasonal ponds in semiarid environments12
MGFNet: An MLP-dominated gated fusion network for semantic segmentation of high-resolution multi-modal remote sensing images12
A multi-terrain feature-based deep convolutional neural network for constructing super-resolution DEMs12
Monitoring three-decade dynamics of citrus planting in Southeastern China using dense Landsat records12
Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event12
Integration of ZiYuan-3 multispectral and stereo imagery for mapping urban vegetation using the hierarchy-based classifier12
Livelihood, carbon and spatiotemporal land-use land-cover change in the Yenku forest reserve of Ghana, 2000–202012
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]12
MB-Net: A network for accurately identifying creeping landslides from wrapped interferograms12
Identifying node-corridor-network of tourist flow and influencing factors using GPS big data: A case study in Gansu and Qinghai provinces, China12
Improving retrieval of crop biophysical properties in dryland areas using a multi-scale variational RTM inversion approach12
Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation12
How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?12
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks12
Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China11
Ecological influence of oasisation on peripheral regions11
Surface water area dynamics of the major lakes of Ethiopia (1985–2023): A spatio-temporal analysis11
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features11
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map11
Hydrocarbon production induced land deformation over Permian Basin; analysis using persistent scatterer interferometry and numerical modeling11
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes11
Monitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach11
Delineating bio-optical characteristics to enhance spatial-based quantification of CDOM in clear to turbid waters11
Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations11
A graph attention network for road marking classification from mobile LiDAR point clouds11
Recent expansion of artisanal gold mining along the Bandama River (Côte d’Ivoire)11
Seasonal inundation dynamics and water balance of the Mara Wetland, Tanzania based on multi-temporal Sentinel-2 image classification11
Rapid and extensive expansion of shrub encroachment into grassland in Xilin Gol League, China, and its driving forces11
Multi-scale estimation of poverty rate using night-time light imagery11
Satellite remote sensing and bathymetry co-driven deep neural network for coral reef shallow water benthic habitat classification11
A rational delineation method for active land blocks on the southeastern margin of the Tibetan Plateau based on high-precision GNSS horizontal velocity fields11
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions11
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest11
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