A real-time hydrological model for flood prediction using GIS and the WWW. - W. Al-Sabhan; Mark Mulligan; George Alan Blackburn (Comput. Environ. Urban Syst., 2003)

Integrated modelling and decision-support tools: a Mediterranean example. - Tim Oxley; Brian S. McIntosh; Nick Winder; Mark Mulligan; Guy Engelen (Environ. Model. Softw., 2004)

Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall. - Elena Tarnavsky; Mark Mulligan; Mohamed Ouessar; Abdoulaye Faye; Emily Black (Remote. Sens., 2013)

Big Data and Multiple Methods for Mapping Small Reservoirs: Comparing Accuracies for Applications in Agricultural Landscapes. - Sarah K. Jones; Alexander K. Fremier; Fabrice A. DeClerck; David Smedley; Aline Ortega Pieck; Mark Mulligan (Remote. Sens., 2017)

Sequential Recurrent Encoders for Land Cover Mapping in The Brazilian Amazon Using Modis Imagery and Auxiliary Datasets. - Alejandro Coca-Castro; Marc Rußwurm; Louis Reymondin; Mark Mulligan (IGARSS, 2019)

Environmental Intelligence for more Sustainable Infrastructure Investment. - Mark Mulligan; Caitlin Douglas; Arnout van Soesbergen; Maoijing Shi; Sophia Burke; Hedwig van Delden; Raffaele Giordano; Elena Lopez-Gunn; Albert Scrieciu (GoodIT, 2021)

Guidance on applying environmental intelligence to inform green investment. - Caitlin Douglas; Mark Mulligan; Arnout van Soesbergen; Sophia Burke (GoodIT, 2022)

Dam Reservoir Extraction From Remote Sensing Imagery Using Tailored Metric Learning Strategies. - Arnout van Soesbergen; Zedong Chu; Miaojing Shi; Mark Mulligan (IEEE Trans. Geosci. Remote. Sens., 2022)

TreeFormer: A Semi-Supervised Transformer-Based Framework for Tree Counting From a Single High-Resolution Image. - Hamed Amini Amirkolaee; Miaojing Shi; Mark Mulligan (IEEE Trans. Geosci. Remote. Sens., 2023)

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. - Hamed Amini Amirkolaee; Miaojing Shi; Lianghua He; Mark Mulligan (CoRR, 2024)