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Articles

[1]
R. Hosseini et al., "A framework for performance analysis of OpenStreetMap data in navigation applications : the case of a well-developed road network in Australia," ANNALS OF GIS, 2025.
[2]
S. Hafner et al., "Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, 2025.
[3]
P. Nezval and T. Shirabe, "Design and implementation of a spatial database for analysis of wheelchair accessibility," Geospatial Health, vol. 20, no. 1, 2025.
[4]
Y. Zhou et al., "EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 5878-5892, 2025.
[5]
S. P. Cumbane et al., "Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations," Big data and cognitive computing, vol. 9, no. 1, 2025.
[6]
R. Yadav, A. Nascetti and Y. Ban, "How high are we? Large-scale building height estimation at 10 m using Sentinel-1 SAR and Sentinel-2 MSI time series," Remote Sensing of Environment, vol. 318, 2025.
[7]
Y. Zhao and Y. Ban, "Near real-time wildfire progression mapping with VIIRS time-series and autoregressive SwinUNETR," International Journal of Applied Earth Observation and Geoinformation, vol. 136, 2025.
[8]
Q. Zhang et al., "Nighttime light development index: a new evaluation method for China’s construction land utilization level," Humanities and Social Sciences Communications, vol. 12, no. 1, 2025.
[9]
Y. Zhao and Y. Ban, "RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning," International Journal of Applied Earth Observation and Geoinformation, vol. 141, 2025.
[10]
O. M. Meneses et al., "Resilience of the Miombo Woodland to Different Fire Frequencies in the LevasFlor Forest Concession, Central Mozambique," Forests, vol. 16, no. 1, 2025.
[11]
O. Maillard et al., "Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa," PLOS ONE, vol. 20, no. 2 February, 2025.
[12]
I. Ioannidis et al., "Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts," Cartography and Geographic Information Science, vol. 52, no. 3, pp. 259-275, 2025.
[13]
P. Zhang et al., "Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping : Insights from the 2017–2019 Canada Wildfires," Remote Sensing, vol. 16, no. 3, 2024.
[14]
Y. Sun et al., "Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
[15]
Y. Zhou et al., "DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.
[16]
S. P. Cumbane and G. Gidofalvi, "Deep learning-based approach for COVID-19 spread prediction," International Journal of Data Science and Analytics, pp. 1-17, 2024.
[17]
E. Saqib and G. Gidofalvi, "Dynamic Adaptive Charging Network Planning Under Deep Uncertainties," Energies, vol. 17, no. 21, 2024.
[18]
J. Yu et al., "Evaluating urban development and socio-economic disparity in India through nighttime light data," Journal of Geographical Sciences, vol. 34, no. 12, pp. 2440-2456, 2024.
[19]
Y. Zhou et al., "MSMT-LCL : Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
[20]
J. Hatzenbühler et al., "Multi-purpose pickup and delivery problem for combined passenger and freight transport," Transportation, 2024.
[21]
O. M. Meneses et al., "Spatio-Temporal Analysis of Wildfire Regimes in Miombo of the LevasFlor Forest Concession, Central Mozambique," Fire, vol. 7, no. 8, 2024.
[22]
R. Yadav et al., "Unsupervised flood detection on SAR time series using variational autoencoder," International Journal of Applied Earth Observation and Geoinformation, vol. 126, 2024.
[23]
W. Lu et al., "Urban network geofencing with dynamic speed limit policy via deep reinforcement learning," Transportation Research Part A : Policy and Practice, vol. 183, 2024.
[24]
L. Seegmiller and T. Shirabe, "A method for finding a least-cost corridor on an ordinal-scaled raster cost surface," Annals of GIS, vol. 29, no. 2, pp. 205-225, 2023.
[25]
R. Hosseini et al., "A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data," ISPRS International Journal of Geo-Information, vol. 12, no. 7, 2023.
[26]
J. Huang and P. Zhang, "Beyond Pixel-Wise Unmixing : Spatial-Spectral Attention Fully Convolutional Networks for Abundance Estimation," Remote Sensing, vol. 15, no. 24, 2023.
[27]
V. Belloni et al., "Crack Monitoring from Motion (CMfM) : Crack detection and measurement using cameras with non-fixed positions," Automation in Construction, vol. 156, 2023.
[28]
Y. Wang et al., "Effect of Manufacturing Conditions and Al Addition on Inclusion Characteristics in Co-Based Dual-Phase High Entropy Alloy," Metallurgical and Materials Transactions. A, vol. 54, no. 7, pp. 2715-2729, 2023.
[29]
X. Hu et al., "GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data," Remote Sensing of Environment, vol. 289, pp. 113522, 2023.
[30]
X. Hu, P. Zhang and Y. Ban, "Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models," ISPRS journal of photogrammetry and remote sensing (Print), vol. 196, pp. 228-240, 2023.
[31]
J. Hatzenbühler et al., "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A : Policy and Practice, vol. 173, pp. 103688-103688, 2023.
[32]
S. Hafner, Y. Ban and A. Nascetti, "Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data," Remote Sensing, vol. 15, no. 21, 2023.
[33]
M. Nhangumbe et al., "Supervised and unsupervised machine learning approaches using Sentinel data for flood mapping and damage assessment in Mozambique," Remote Sensing Applications: Society and Environment, vol. 32, 2023.
[34]
Y. Zhao, Y. Ban and J. Sullivan, "Tokenized Time-Series in Satellite Image Segmentation With Transformer Network for Active Fire Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023.
[35]
P. Zhang, Y. Ban and A. Nascetti, "Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data," ISPRS journal of photogrammetry and remote sensing (Print), vol. 203, pp. 301-313, 2023.
[36]
S. Georganos et al., "A census from heaven : Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments," International Journal of Applied Earth Observation and Geoinformation, vol. 114, 2022.
[37]
S. Georganos and S. Kalogirou, "A Forest of Forests : A Spatially Weighted and Computationally Efficient Formulation of Geographical Random Forests," ISPRS International Journal of Geo-Information, vol. 11, no. 9, pp. 471, 2022.
[38]
L. Seegmiller and T. Shirabe, "A method for finding least-cost corridors in three-dimensional raster space," Transactions on GIS, vol. 26, no. 2, pp. 1098-1115, 2022.
[39]
R. Yadav, A. Nascetti and Y. Ban, "Deep attentive fusion network for flood detection on uni-temporal Sentinel-1 data," Frontiers in Remote Sensing, vol. 3, 2022.
[40]
K. Maier et al., "Direct photogrammetry with multispectral imagery for UAV-based snow depth estimation," ISPRS journal of photogrammetry and remote sensing (Print), vol. 186, pp. 1-18, 2022.
[41]
A. Lotfata et al., "Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA," ISPRS International Journal of Geo-Information, vol. 11, no. 11, 2022.
[42]
X. Li et al., "GCDB-UNet : A novel robust cloud detection approach for remote sensing images," Knowledge-Based Systems, vol. 238, 2022.
[43]
Y. Zhao and Y. Ban, "GOES-R Time Series for Early Detection of Wildfires with Deep GRU-Network," Remote Sensing, vol. 14, no. 17, 2022.
[44]
A. Abascal et al., "Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas," Computers, Environment and Urban Systems, vol. 95, 2022.
[45]
T. Mugiraneza et al., "Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles," International Journal of Applied Earth Observation and Geoinformation, vol. 109, 2022.
[46]
Y. Sun et al., "Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.
[47]
J. Wang et al., "On the knowledge gain of urban morphology from space," Computers, Environment and Urban Systems, vol. 95, 2022.
[48]
S. Hafner et al., "Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net," IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.
[49]
C. Morlighem et al., "The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities : Malaria as an Example," Remote Sensing, vol. 14, no. 21, 2022.
[50]
R. Palmberg et al., "Towards a better understanding of the health impacts of one’s movement in space and time," Journal of Location Based Services, vol. 16, no. 4, pp. 288-311, 2022.
Full list in the KTH publications portal