Research output per year
Research output per year
Personal profile
Personal profile
John Ray Bergado is currently a researcher/lecturer in the department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente (UT), Enschede, The Netherlands. He received his:
- PhD degree (thesis title: "End-to-end predictive models for remote sensing application") from Faculty ITC, UT in 2020;
- Master of Science degree in Geoinformation Science and Earth Observation specializing in Geoinformatics (with distinction) from Faculty ITC, UT in 2016;
- and Bachelor of Science degree in Geodetic Engineering (magna cum laude) from the University of the Philippines, Diliman, Philippines in 2013.
His research interests are on the interface of machine learning, statistical learning, and deep learning methods with geospatial technologies such as remote sensing, photogrammetry, and unmanned aerial vehicles (UAV). Before rejoining ITC, UT in 2022 as a researcher/lecturer, he was an Earth Observation and Geomatics Specialist with NEO BV Netherlands from 2020 to 2022; a Research Assistant with ITC, UT from 2016 to 2020; a Visiting Research Assistant with Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia from 2018 to 2019; and a Geodetic Engineer with SRDP Consulting Inc., Philippines from 2013 to 2014.
Education/Academic qualification
PhD, University of Twente
15 Apr 2016 → 15 Apr 2020
Award Date: 17 Dec 2020
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Research output
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Predicting wildfire burns from big geodata using deep learning
Bergado, J. R., Persello, C., Reinke, K. & Stein, A., Aug 2021, In: Safety science. 140, 12 p., 105276.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile12 Citations (Scopus)130 Downloads (Pure) -
End-to-end predictive models for remote sensing applications
Bergado, J. R., 17 Dec 2020, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 117 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile93 Downloads (Pure) -
Land use classification using deep multitask networks
Bergado, J. R., Persello, C. & Stein, A., 6 Aug 2020, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Paparoditis, N., Mallet, C., Lafarge, F., Jiang, J., Shaker, A., Zhang, H., Liang, X., Osmanoglu, B., Soergel, U., Honkavaara, E., Scaioni, M., Zhang, J., Peled, A., Wu, L., Li, R., Yoshimura, M., Di, K., Altan, O., Abdulmuttalib, H. M. & Faruque, F. S. (eds.). B3 ed. Nice: International Society for Photogrammetry and Remote Sensing (ISPRS), Vol. 43. p. 17-21 5 p. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile67 Downloads (Pure) -
Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping
Persello, C., Tolpekin, V. A., Bergado, J. R. & de By, R. A., 15 Sep 2019, In: Remote sensing of environment. 231, p. 1-18 18 p., 111253.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile72 Citations (Scopus)377 Downloads (Pure) -
Towards automated delineation of smallholder farm fields from VHR images using convolutional networks
Persello, C., Tolpekin, V., Bergado, J. R. & De By, R. A., Jul 2019, 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Yokohama: IEEE, p. 3836-3839 4 p. 8897979. (International Geoscience and Remote Sensing Symposium (IGARSS)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile7 Downloads (Pure)