PAIRS: A scalable geo-spatial data analytics platform. - Levente J. Klein; Fernando J. Marianno; Conrad M. Albrecht; Marcus Freitag; Siyuan Lu 003; Nigel Hinds; Xiaoyan Shao; Sergio Bermudez Rodriguez; Hendrik F. Hamann (IEEE BigData, 2015)

IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery. - Siyuan Lu 003; Xiaoyan Shao; Marcus Freitag; Levente J. Klein; Jason D. Renwick; Fernando J. Marianno; Conrad M. Albrecht; Hendrik F. Hamann (IEEE BigData, 2016)

Toward large-scale crop production forecasts for global food security. - G. Badr; Levente J. Klein; Marcus Freitag; Conrad M. Albrecht; Fernando J. Marianno; Siyuan Lu 003; Xiaoyan Shao; Nigel Hinds; Gerrit Hoogenboom; Hendrik F. Hamann (IBM J. Res. Dev., 2016)

Event clustering & event series characterization on expected frequency. - Conrad M. Albrecht; Marcus Freitag; Theodore G. van Kessel; Siyuan Lu 003; Hendrik F. Hamann (IEEE BigData, 2017)

Learning and Recognizing Archeological Features from LiDAR Data. - Conrad M. Albrecht; Chris Fisher; Marcus Freitag; Hendrik F. Hamann; Sharathchandra Pankanti; Florencia Pezzutti; Francesca Rossi 001 (IEEE BigData, 2019)

N-dimensional geospatial data and analytics for critical infrastructure risk assessment. - Levente J. Klein; Conrad M. Albrecht; Wang Zhou; Carlo Siebenschuh; Sharathchandra Pankanti; Hendrik F. Hamann; Siyuan Lu 003 (IEEE BigData, 2019)

Map Generation from Large Scale Incomplete and Inaccurate Data Labels. - Rui Zhang; Conrad M. Albrecht; Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; David S. Kung 001; Siyuan Lu 003 (KDD, 2020)

Next-generation geospatial-temporal information technologies for disaster management. - Conrad M. Albrecht; Bruce Elmegreen; Oki Gunawan; Hendrik F. Hamann; Levente J. Klein; Siyuan Lu 003; F. Mariano; Carlo Siebenschuh; Johannes Schmude (IBM J. Res. Dev., 2020)

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. - Conrad M. Albrecht; Rui Zhang; Xiaodong Cui; Marcus Freitag; Hendrik F. Hamann; Levente J. Klein; Ulrich Finkler; Fernando J. Marianno; Johannes Schmude; Norman Bobroff; Wei Zhang 022; Carlo Siebenschuh; et al. (ISPRS Int. J. Geo Inf., 2020)

AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. - Conrad M. Albrecht; Fernando J. Marianno; Levente J. Klein (IEEE BigData, 2021)

Quantification of Carbon Sequestration in Urban Forests. - Levente J. Klein; Wang Zhou; Conrad M. Albrecht (CoRR, 2021)

Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IEEE Big Data, 2022)

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. - Yi Wang 072; Chenying Liu 001; Arti Tiwari; Micha Silver; Arnon Karnieli; Xiao Xiang Zhu 001; Conrad M. Albrecht (IEEE Big Data, 2022)

Monitoring Urban Forests from Auto-Generated Segmentation MAPS. - Conrad M. Albrecht; Chenying Liu 001; Yi Wang 072; Levente J. Klein; Xiao Xiang Zhu 001 (IGARSS, 2022)

Towards Global Forest Biomass Estimators from Tree Height Data. - Qian Song; Conrad M. Albrecht; Zhitong Xiong; Xiao Xiang Zhu 001 (IGARSS, 2022)

Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning. - Yi Wang 072; Conrad M. Albrecht; Xiao Xiang Zhu 001 (IGARSS, 2022)

Self-supervised Learning in Remote Sensing: A Review. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Lichao Mou; Xiao Xiang Zhu 001 (CoRR, 2022)

Aboveground carbon biomass estimate with Physics-informed deep network. - Juan Nathaniel; Levente J. Klein; Campbell D. Watson; Gabrielle Nyirjesy; Conrad M. Albrecht (CoRR, 2022)

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. - Yi Wang 072; Nassim Ait Ali Braham; Zhitong Xiong; Chenying Liu 001; Conrad M. Albrecht; Xiao Xiang Zhu 001 (CoRR, 2022)

Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. - Juan Nathaniel; Gabrielle Nyirjesy; Campbell D. Watson; Conrad M. Albrecht; Levente J. Klein (IGARSS, 2023)

Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View AssignmentCRediT. - Shivam Pande; Nassim Ait Ali Braham; Yi Wang 072; Conrad M. Albrecht; Biplab Banerjee; Xiao Xiang Zhu 001 (IGARSS, 2023)

DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCECRediT. - Wenlu Sun; Yao Sun 005; Chenying Liu 001; Conrad M. Albrecht (IGARSS, 2023)

DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. - Wenlu Sun; Yao Sun 005; Chenying Liu 001; Conrad M. Albrecht (CoRR, 2023)

Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment. - Shivam Pande; Nassim Ait Ali Braham; Yi Wang 072; Conrad M. Albrecht; Biplab Banerjee; Xiao Xiang Zhu 001 (CoRR, 2023)

DeCUR: decoupling common & unique representations for multimodal self-supervision. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Chenying Liu 001; Zhitong Xiong; Xiao Xiang Zhu 001 (CoRR, 2023)

Biomass Estimation and Uncertainty Quantification From Tree Height. - Qian Song; Conrad M. Albrecht; Zhitong Xiong; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Chenying Liu 001; Zhitong Xiong; Xiao Xiang Zhu 001 (ECCV (29), 2024)

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IGARSS, 2024)

AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. - Chenying Liu 001; Hunsoo Song; Anamika Shreevastava; Conrad M. Albrecht (IGARSS, 2024)

Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling. - Masato Sakai; Marcus Freitag; Akihisa Sakurai; Conrad M. Albrecht; Hendrik F. Hamann (IGARSS, 2024)

Multi-Label Guided Supervised Contrastive Learning for Earth Observation Pretraining. - Yi Wang 072; Conrad M. Albrecht; Xiao Xiang Zhu 001 (IGARSS, 2024)

CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (CoRR, 2024)

Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining. - Yi Wang 072; Conrad M. Albrecht; Xiao Xiang Zhu 001 (CoRR, 2024)

AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Qingyu Li; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining. - Yi Wang 072; Conrad M. Albrecht; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

EuroSAT-SAR. - Yi Wang 072; Hugo Hernández Hernández; Conrad M. Albrecht; Xiao Xiang Zhu 001 (IEEE DataPort, 2024)

Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor. - Daixin Zhao; Konrad Heidler; Milad Asgarimehr; Conrad M. Albrecht; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (Int. J. Appl. Earth Obs. Geoinformation, 2025)

SpectralEarth: Training Hyperspectral Foundation Models at Scale. - Nassim Ait Ali Braham; Conrad M. Albrecht; Julien Mairal; Jocelyn Chanussot; Yi Wang 072; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing. - Yi Wang 072; Hugo Hernández Hernández; Conrad M. Albrecht; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multispectral to Hyperspectral using Pretrained Foundational model. - Ruben Gonzalez; Conrad M. Albrecht; Nassim Ait Ali Braham; Devyani Lambhate; João Lucas de Sousa Almeida; Paolo Fraccaro; Benedikt Blumenstiel; Thomas Brunschwiler; Ranjini Bangalore (CoRR, 2025)

SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated. - Benedikt Blumenstiel; Nassim Ait Ali Braham; Conrad M. Albrecht; Stefano Maurogiovanni; Paolo Fraccaro (CoRR, 2025)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. - Ruben Gonzalez Avilés; Linus Scheibenreif; Nassim Ait Ali Braham; Benedikt Blumenstiel; Thomas Brunschwiler; Ranjini B. Guruprasad; Damian Borth; Conrad M. Albrecht; Paolo Fraccaro; Devyani Lambhate; Johannes Jakubik (CoRR, 2025)