Simple and effective monitoring of historic changes in nearshore environments using the free archive of Landsat imagery. - Anders Knudby; Candace Newman; Yohanna Shaghude; Christopher Muhando (Int. J. Appl. Earth Obs. Geoinformation, 2010)

Mapping Fish Community Variables by Integrating Field and Satellite Data, Object-Based Image Analysis and Modeling in a Traditional Fijian Fisheries Management Area. - Anders Knudby; Chris M. Roelfsema; Mitchell B. Lyons; Stuart R. Phinn; Stacy D. Jupiter (Remote. Sens., 2011)

Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data. - Anders Knudby; Stacy D. Jupiter; Chris M. Roelfsema; Mitchell B. Lyons; Stuart R. Phinn (Remote. Sens., 2013)

Spatio-temporal analysis of surface urban heat island (SUHI) using MODIS land surface temperature (LST) for summer 2003-2012, A case study of the Netherlands. - Mehdi Aminipouri; Anders Knudby (IGARSS, 2014)

Multi-image ensemble classification. - Anders Knudby; Zulybeth Galan Acevedo; Peter Chow; Linus Hammar; Linda Eggertsen; Martin Gullström (IGARSS, 2014)

Using multiple Landsat scenes in an ensemble classifier reduces classification error in a stable nearshore environment. - Anders Knudby; Lina Mtwana Nordlund; Gustav Palmqvist; Karolina Wikström; Alan Koliji; Regina Lindborg; Martin Gullström (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection. - Matus Hodul; Anders Knudby; Hung Chak Ho (Remote. Sens., 2016)

Mapping Wild Leek through the Forest Canopy Using a UAV. - Marie-Bé Leduc; Anders Knudby (Remote. Sens., 2018)

Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas. - Kutalmis Saylam; John R. Hupp; John R. Andrews; Aaron R. Averett; Anders Knudby (Sensors, 2018)

Mapping Monthly Air Temperature in the Tibetan Plateau From MODIS Data Based on Machine Learning Methods. - Yongming Xu; Anders Knudby; Yan Shen; Yong-hong Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing. - Christopher O. Ilori; Nima Pahlevan; Anders Knudby (Remote. Sens., 2019)

An Approach to Minimize Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment. - Christopher O. Ilori; Anders Knudby (Remote. Sens., 2020)

Integrating Inland and Coastal Water Quality Data for Actionable Knowledge. - Ghada Y. El Serafy; Blake A. Schaeffer; Merrie-Beth Neely; Anna Spinosa; Daniel Odermatt; Kathleen C. Weathers; Theo Baracchini; Damien Bouffard; Laurence Carvalho; Robyn N. Conmy; Liesbeth De Keukelaere; Peter D. Hunter; et al. (Remote. Sens., 2021)

Utilizing Transfer Learning with Artificial Intelligence for Scaling-Up Lichen Coverage Maps. - Galen Richardson; Anders Knudby; Wenjun Chen (IGARSS, 2023)

A Tool That Calculates The Sea-Surface Reflectance Factor In Customized Environments And Geometry. - Yulun Wu; Anders Knudby (IGARSS, 2023)

Global automated extraction of bathymetric photons from ICESat-2 data based on a PointNet++ model. - Yiwen Lin; Anders Knudby (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Global Delineation of Optically Shallow and Optically Deep Water Using Machine Learning. - Galen Richardson; Neve Foreman; Yulun Wu; Anders Knudby (IGARSS, 2024)