Publikasi Penelitian
Rudiastuti, A. W., Farda, N. M., & Ramdani, D. (2021, December). Mapping built-up land and settlements: a comparison of machine learning algorithms in Google Earth engine. In Seventh Geoinformation Science Symposium 2021 (Vol. 12082, pp. 42-52). SPIE.
Wicaksono, P., & Lazuardi, W. (2021). Assessment of PlanetScope images for benthic habitat and seagrass species mapping in a complex optically shallow water environment. In Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems (pp. 143-169). Routledge.
Kamal, M., Farda, N. M., Jamaluddin, I., Parela, A., Wikantika, K., Prasetyo, L. B., & Irawan, B. (2020, June). A preliminary study on machine learning and google earth engine for mangrove mapping. In IOP Conference Series: Earth and Environmental Science (Vol. 500, No. 1, p. 012038). IOP Publishing.
Arjasakusuma, S., Swahyu Kusuma, S., & Phinn, S. (2020). Evaluating variable selection and machine learning algorithms for estimating forest heights by combining lidar and hyperspectral data. ISPRS International Journal of Geo-Information, 9(9), 507.
Kamal, M., Jamaluddin, I., Parela, A., & Farda, N. M. (2019). Comparison of Google Earth Engine (GEE)-based machine learning classifiers for mangrove mapping. In Proceedings of the 40th Asian Conference Remote Sensing, ACRS (pp. 1-8).
Farda, N. M. (2017, December). Multi-temporal land use mapping of coastal wetlands area using machine learning in Google Earth Engine. In IOP Conference Series: Earth and Environmental Science (Vol. 98, No. 1, p. 012042). IOP Publishing.
Haryono, E., Widartono, B. S., Lukito, H., & Kusumayuda, S. B. (2016, November). A comparison of lineament and fracture trace extraction from LANDSAT ETM+ panchromatic band and panchromatic aerial photograph in Gunungsewu karst area, Java-Indonesia. In IOP Conference Series: Earth and Environmental Science(Vol. 47, No. 1, p. 012026). IOP Publishing.
Kartika, C. (2015). Visual exploration of spatial-temporal traffic congestion patterns using floating car data. Technische Universität München, Munich, Germany.
Zylshal, P. D., & Haryono, E. (2013). An Object-Based Image Analysis Approach to Semi-Automated Karst Morphology Extraction. In Asian Conference on Remote Sensing, Bali (Vol. 34, pp. 411-418).