Visual Explorationof Spatial-Temporal Traffic Congestion Patterns Using Floating Car Data
Candra Sari Djati Kartika
Master’sThesis, Technische Universität München Fakultät für Bauingenieur-und Vermessungswesen Lehrstuhl für Kartographie, 2015
Multi-temporal Land Use Mapping of Coastal Wetlands Area using Machine Learning in Google Earth Engine
N. M. Farda
IOP Conference Series: Earth and Environmental Science, Volume 98, The 5th Geoinformation Science Symposium 2017 (GSS 2017) 27–28 September 2017, Yogyakarta, Indonesia
Assessment of PlanetScope images for benthic habitat and seagrass species mapping in a complex optically shallow water environment
P Wicaksono, W Lazuardi
International journal of remote sensing 39 (17), 5739-5765, 2018
A preliminary study on machine learning and google earth engine for mangrove mapping
Kamal, M., Farda, N.M., Jamaluddin, I., …Prasetyo, L.B., Irawan, B.
IOP Conference Series: Earth and Environmental Science, 2020, 500(1), 012038
Comparison of Google Earth Engine (GEE)-based machine learning classifiers for mangrove mapping
Kamal, M., Jamaluddin, I., Parela, A., Farda, N.M.
40th Asian Conference on Remote Sensing, ACRS 2019: Progress of Remote Sensing Technology for Smart Future, 2020
Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data.
Arjasakusuma, S.; Swahyu Kusuma, S.; Phinn, S.
ISPRS Int. J. Geo-Inf. 2020, 9, 507.
Mapping built-up land and settlements: a comparison of machine learning algorithms in Google Earth engine
AW Rudiastuti, NM Farda, D Ramdani
Seventh Geoinformation Science Symposium 2021 12082, 42-52, 2021