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Articles

[1]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
E. Saqib and G. Gidófalvi, "Dynamic Adaptive Charging Network Planning Under Deep Uncertainties," Energies, vol. 17, no. 21, pp. 5378-5378, 2024.
[6]
J. Hatzenbühler et al., "Multi-purpose pickup and delivery problem for combined passenger and freight transport," Transportation, 2024.
[7]
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.
[8]
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.
[9]
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, pp. 1-17, 2024.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
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.
[21]
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.
[22]
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.
[23]
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.
[24]
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.
[25]
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.
[26]
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.
[27]
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.
[28]
X. Li et al., "GCDB-UNet : A novel robust cloud detection approach for remote sensing images," Knowledge-Based Systems, vol. 238, 2022.
[29]
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.
[30]
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.
[31]
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.
[32]
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.
[33]
J. Wang et al., "On the knowledge gain of urban morphology from space," Computers, Environment and Urban Systems, vol. 95, 2022.
[34]
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.
[35]
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.
[36]
R. Palmberg et al., "Towards a better understanding of the health impacts of one’s movement in space and time," Journal of Literature and Science, pp. 1-24, 2022.
[37]
S. Hafner, Y. Ban and A. Nascetti, "Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data," Remote Sensing of Environment, vol. 280, pp. 113192, 2022.
[38]
L. Seegmiller, T. Shirabe and C. D. Tomlin, "A method for finding least-cost corridors with reduced distortion in raster space," International Journal of Geographical Information Science, vol. 35, no. 8, pp. 1570-1591, 2021.
[39]
R. Palmberg et al., "Built Environment Characteristics, Daily Travel, and Biometric Readings : Creation of an Experimental Tool Based on a Smartwatch Platform," Sustainability, vol. 13, no. 17, 2021.
[40]
J. Chen et al., "Collaborative validation of GlobeLand30 : Methodology and practices," Geo-spatial Information Science, vol. 24, no. 1, pp. 134-144, 2021.
[41]
T. Campisi et al., "Gender Equality and E-Scooters : Mind the Gap! A Statistical Analysis of the Sicily Region, Italy," Social Sciences, vol. 10, no. 10, 2021.
[42]
S. Georganos et al., "Is It All the Same? : Mapping and Characterizing Deprived Urban Areas Using WorldView-3 Superspectral Imagery. A Case Study in Nairobi, Kenya," Remote Sensing, vol. 13, no. 24, 2021.
[43]
P. Zhang, Y. Ban and A. Nascetti, "Learning U-Net without Forgetting for Near Real-Time Wildfire Monitoring by the Fusion of SAR and Optical Time Series," Remote Sensing of Environment, vol. 261, no. 112467, 2021.
[44]
S. Hosseini et al., "Mapping the intellectual structure of GIS-T field (2008–2019) : a dynamic co-word analysis," Scientometrics, vol. 126, no. 4, pp. 2667-2688, 2021.
[45]
R. M. Murekatete and T. Shirabe, "On the effects of spatial resolution on effective distance measurement in digital landscapes," ECOLOGICAL PROCESSES, vol. 10, no. 1, 2021.
[46]
X. Hu, Y. Ban and A. Nascetti, "Sentinel-2 MSI data for active fire detection in major fire-prone biomes : A multi-criteria approach," International Journal of Applied Earth Observation and Geoinformation, vol. 101, 2021.
[47]
S. P. Cumbane and G. Gidofalvi, "Spatial Distribution of Displaced Population Estimated Using Mobile Phone Data to Support Disaster Response Activities," ISPRS International Journal of Geo-Information, vol. 10, no. 6, pp. 421, 2021.
[48]
M. Kuffer et al., "Spatial Information Gaps on Deprived Urban Areas (Slums) in Low-and-Middle-Income-Countries : A User-Centered Approach," URBAN SCIENCE, vol. 5, no. 4, pp. 72, 2021.
[49]
X. Hu, Y. Ban and A. Nascetti, "Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning," Remote Sensing, vol. 13, no. 8, pp. 1509, 2021.
[50]
J. W. Joubert et al., "A matching algorithm to study the evolution of logistics facilities extracted from GPS traces," Transportation Research Procedia, vol. 46, no. 2020, pp. 237-244, 2020.
Full list in the KTH publications portal