International Journal of Applied Earth Observation and Geoinformation

Papers
(The median citation count of International Journal of Applied Earth Observation and Geoinformation is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A review on deep learning in UAV remote sensing142
Deep learning in multimodal remote sensing data fusion: A comprehensive review121
High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques55
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing54
ADS-Net:An Attention-Based deeply supervised network for remote sensing image change detection53
A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping50
Object detection from UAV thermal infrared images and videos using YOLO models50
Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review49
DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images49
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer47
A review of spatially-explicit GeoAI applications in Urban Geography46
Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method45
Integrating remote sensing and geospatial big data for urban land use mapping: A review40
Road extraction in remote sensing data: A survey39
SUACDNet: Attentional change detection network based on siamese U-shaped structure39
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery38
MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification36
Digital twin of a city: Review of technology serving city needs36
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images35
Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities35
Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space33
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks33
Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN33
Global fuel moisture content mapping from MODIS31
Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network30
Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives30
Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm29
Super-resolution of subsurface temperature field from remote sensing observations based on machine learning29
The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot29
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks29
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield29
Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images28
A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping28
Cotton yield estimation model based on machine learning using time series UAV remote sensing data28
Transferable network with Siamese architecture for anomaly detection in hyperspectral images28
Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-227
Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring26
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest26
Mapping cropping intensity in Huaihe basin using phenology algorithm, all Sentinel-2 and Landsat images in Google Earth Engine26
A methodology to estimate forest fires burned areas and burn severity degrees using Sentinel-2 data. Application to the October 2017 fires in the Iberian Peninsula26
New insights into the 2020 Sardoba dam failure in Uzbekistan from Earth observation26
Coherency and phase delay analyses between land cover and climate across Italy via the least-squares wavelet software26
Explainable AI for earth observation: A review including societal and regulatory perspectives25
Automated delineation of agricultural field boundaries from Sentinel-2 images using recurrent residual U-Net25
Mapping mangrove dynamics and colonization patterns at the Suriname coast using historic satellite data and the LandTrendr algorithm25
Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?25
A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images24
Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification24
An attention-based U-Net for detecting deforestation within satellite sensor imagery24
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer24
Temporal and spatial variation of coastline using remote sensing images for Zhoushan archipelago, China23
Social media mining under the COVID-19 context: Progress, challenges, and opportunities23
Seeing through the clouds – Mapping desert fog oasis ecosystems using 20 years of MODIS imagery over Peru and Chile23
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification22
Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective22
A recognition method for drainage patterns using a graph convolutional network22
Estimation of the value of regional ecosystem services of an archipelago using satellite remote sensing technology: A case study of Zhoushan Archipelago, China22
Grid-optimized UAV indoor path planning algorithms in a complex environment21
Crop type mapping by using transfer learning21
Examining rice distribution and cropping intensity in a mixed single- and double-cropping region in South China using all available Sentinel 1/2 images21
3D building reconstruction from single street view images using deep learning21
Toward accurate mapping of 30-m time-series global impervious surface area (GISA)21
Village-level poverty identification using machine learning, high-resolution images, and geospatial data21
How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China21
Phenology-based sample generation for supervised crop type classification21
An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine21
Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data20
A hybrid deep convolutional neural network for accurate land cover classification20
Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network20
Influence of the proportion, height and proximity of vegetation and buildings on urban land surface temperature20
Mapping the vegetation distribution and dynamics of a wetland using adaptive-stacking and Google Earth Engine based on multi-source remote sensing data20
A framework for registering UAV-based imagery for crop-tracking in Precision Agriculture20
A deep learning multi-layer perceptron and remote sensing approach for soil health based crop yield estimation20
Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data20
A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level19
Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level19
Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations19
Developing a deep learning-based layer-3 solution for thermal infrared large-scale photovoltaic module inspection from orthorectified big UAV imagery data19
HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection19
Spatiotemporal fusion method to simultaneously generate full-length normalized difference vegetation index time series (SSFIT)19
Drought sensitivity of vegetation photosynthesis along the aridity gradient in northern China19
Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net19
Characterizing forest disturbances across the Argentine Dry Chaco based on Landsat time series19
A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing19
Spatiotemporal change of aboveground biomass and its response to climate change in marshes of the Tibetan Plateau19
Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness18
Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images18
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV18
Pavement crack detection from CCD images with a locally enhanced transformer network18
Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a mountainous region18
A high-resolution feature difference attention network for the application of building change detection18
Statistical assessment metrics for InSAR atmospheric correction: Applications to generic atmospheric correction online service for InSAR (GACOS) in Eastern China18
LEARD-Net: Semantic segmentation for large-scale point cloud scene18
AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data18
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes18
Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction17
Early detection of tree encroachment in high voltage powerline corridor using growth model and UAV-borne LiDAR17
Relationships between climate change, phenology, edaphic factors, and net primary productivity across the Tibetan Plateau17
Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach17
A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images17
A New Model for three-dimensional Deformation Extraction with Single-track InSAR Based on Mining Subsidence Characteristics17
A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification17
Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images17
Fusing GEDI with earth observation data for large area aboveground biomass mapping17
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping17
Automated abnormal potato plant detection system using deep learning models and portable video cameras16
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images16
Semantic segmentation guided pseudo label mining and instance re-detection for weakly supervised object detection in remote sensing images16
Time evolution of mining-related residual subsidence monitored over a 24-year period using InSAR in southern Alsace, France16
Retrieving building height in urban areas using ICESat-2 photon-counting LiDAR data16
Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system16
World-wide InSAR sensitivity index for landslide deformation tracking16
Multi-scale deformation monitoring with Sentinel-1 InSAR analyses along the Middle Route of the South-North Water Diversion Project in China16
Leaf area index estimation using top-of-canopy airborne RGB images16
A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images16
Tracking 21st century climate dynamics of the Third Pole: An analysis of topo-climate impacts on snow cover in the central Himalaya using Google Earth Engine16
A comprehensive framework for evaluating the quality of street view imagery16
Mapping forest windthrows using high spatial resolution multispectral satellite images16
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
Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks16
Demystifying LandTrendr and CCDC temporal segmentation16
Building change detection using the parallel spatial-channel attention block and edge-guided deep network16
Biomass estimation of pasture plots with multitemporal UAV-based photogrammetric surveys16
Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach16
Soil salinity inversion based on differentiated fusion of satellite image and ground spectra16
Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape16
Mapping human perception of urban landscape from street-view images: A deep-learning approach15
Tracking changes in aquaculture ponds on the China coast using 30 years of Landsat images15
Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands15
Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning15
Urban informal settlements classification via a transformer-based spatial-temporal fusion network using multimodal remote sensing and time-series human activity data15
Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China15
Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network15
An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach15
Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm15
Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements15
The content and accuracy of the CORINE Land Cover dataset for Norway15
Angle effects of vegetation indices and the influence on prediction of SPAD values in soybean and maize15
Crop yield prediction using MODIS LAI, TIGGE weather forecasts and WOFOST model: A case study for winter wheat in Hebei, China during 2009–201315
Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images15
Mask R-CNN based automated identification and extraction of oil well sites15
Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry14
Thermal infrared remote sensing of vegetation: Current status and perspectives14
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning14
A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables14
Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach14
GA-Net: A geometry prior assisted neural network for road extraction14
YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery14
UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland14
The spatiotemporal pattern and influencing factors of land surface temperature change in China from 2003 to 201914
Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning14
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland14
Validation and comparison of surface shortwave and longwave radiation products over the three poles14
Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples14
Digital Twins for cities: Analyzing the gap between concepts and current implementations with a specific focus on data integration14
U-Net convolutional neural network models for detecting and quantifying placer mining disturbances at watershed scales14
Satellite based impact assessment of temperature and rainfall variability on drought indices in Southern Pakistan14
Hyperspectral target detection based on transform domain adaptive constrained energy minimization14
How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?14
Global assessments of two blended microwave soil moisture products CCI and SMOPS with in-situ measurements and reanalysis data14
Monitoring of construction-induced urban ground deformations using Sentinel-1 PS-InSAR: The case study of tunneling in Dangjin, Korea14
Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities14
Self-supervised audiovisual representation learning for remote sensing data14
RoadFormer: Pyramidal deformable vision transformers for road network extraction with remote sensing images14
A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment14
10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product14
Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China14
A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance14
A chain navigation grid based on cellular automata for large-scale crowd evacuation in virtual reality14
Tree species classification using Sentinel-2 imagery and Bayesian inference14
Multi-sensor remote sensing analysis of coal fire induced land subsidence in Jharia Coalfields, Jharkhand, India14
Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method14
Siam-DWENet: Flood inundation detection for SAR imagery using a cross-task transfer siamese network14
MTSCD-Net: A network based on multi-task learning for semantic change detection of bitemporal remote sensing images14
Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR14
A comparative study of loss functions for road segmentation in remotely sensed road datasets13
Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective13
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-estimated13
Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery13
Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China13
Evaluation of urban green space in terms of thermal environmental benefits using geographical detector analysis13
Urban spatial expansion and its impacts on ecosystem service value of typical oasis cities around Tarim Basin, northwest China13
A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China13
Robust geographical detector13
Long-term and seasonal variation in groundwater storage in the North China Plain based on GRACE13
Detecting and mapping tree crowns based on convolutional neural network and Google Earth images13
Double U-Net (W-Net): A change detection network with two heads for remote sensing imagery13
Multi-scale impacts of 2D/3D urban building pattern in intra-annual thermal environment of Hangzhou, China13
Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids13
Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review13
Ten deep learning techniques to address small data problems with remote sensing13
Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data13
Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban area13
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification13
Investigating land subsidence and its causes along Beijing high-speed railway using multi-platform InSAR and a maximum entropy model13
Monitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach13
Applications of Stacking/Blending ensemble learning approaches for evaluating flash flood susceptibility13
Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data13
Lockdown effects on total suspended solids concentrations in the Lower Min River (China) during COVID-19 using time-series remote sensing images13
Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery13
Systematic method for mapping fine-resolution water cover types in China based on time series Sentinel-1 and 2 images13
Biomass and vegetation coverage survey in the Mu Us sandy land - based on unmanned aerial vehicle RGB images13
Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil12
Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network12
MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection12
3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion12
Multi-stage convolutional autoencoder network for hyperspectral unmixing12
Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series12
Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China12
Cross-modal change detection flood extraction based on convolutional neural network12
Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms12
Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years12
NeiEA-NET: Semantic segmentation of large-scale point cloud scene via neighbor enhancement and aggregation12
Variation of vegetation autumn phenology and its climatic drivers in temperate grasslands of China12
Filling gaps in Landsat ETM+ SLC-off images with Sentinel-2 MSI images12
Advanced wildfire detection using generative adversarial network-based augmented datasets and weakly supervised object localization12
Pavement crack detection with hybrid-window attentive vision transformers12
Geodiversity assessment with global and local spatial multicriteria analysis12
Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation12
Monitoring peatland water table depth with optical and radar satellite imagery12
A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data12
Improving UAV-SfM time-series accuracy by co-alignment and contributions of ground control or RTK positioning12
Estimating mangrove leaf area index based on red-edge vegetation indices: A comparison among UAV, WorldView-2 and Sentinel-2 imagery12
A service-oriented collaborative approach to disaster decision support by integrating geospatial resources and task chain12
A spatial case-based reasoning method for regional landslide risk assessment12
MapsNet: Multi-level feature constraint and fusion network for change detection12
Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data12
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations12
Evaluating the performance of high-resolution satellite imagery in detecting ephemeral water bodies over West Africa12
Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types11
A noise removal algorithm based on adaptive elevation difference thresholding for ICESat-2 photon-counting data11
A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction11
Secondary Iron Mineral Detection via Hyperspectral Unmixing Analysis with Sentinel-2 Imagery11
Global 10-m impervious surface area mapping: A big earth data based extraction and updating approach11
An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction11
Automatically quantifying evolution of retrogressive thaw slumps in Beiluhe (Tibetan Plateau) from multi-temporal CubeSat images11
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine11
Underground burning of Jharia coal mine (India) and associated surface deformation using InSAR data11
Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images11
Spatio-temporal changes in urban green space in 107 Chinese cities (1990–2019): The role of economic drivers and policy11
SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction11
Toward operational validation systems for global satellite-based terrestrial essential climate variables11
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine11
Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression11
ASI: An artificial surface Index for Landsat 8 imagery11
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering11
A hybrid spatiotemporal convolution-based cellular automata model (ST-CA) for land-use/cover change simulation11
A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments11
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information11
Global maps of 3D built-up patterns for urban morphological analysis11
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