Dr. Pramaditya Wicaksono Profile

Dr. Pramaditya Wicaksono

Lecturer and Researcher at Univ Gadjah Mada

SPIE Involvement:

Author | Editor

Area of Expertise:

Remote Sensing , Benthic Habitat Mapping , Vegetation Mapping , Mangrove , Seagrass , Algae

Websites:

Company Website

Proceedings Article | 29 January 2024 Paper

Lifeform-based seagrass species composition mapping of Pari Island using WorldView-2 multispectral imagery

Jennifer Wijaya, Pramaditya Wicaksono

Proceedings Volume 12977, 129770Y (2024) https://doi.org/10.1117/12.3009770

KEYWORDS: Image segmentation, Random forests, Ecosystems, Water, Remote sensing, Image classification, Education and training, Multispectral imaging, Image processing

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Proceedings Article | 29 January 2024 Paper

Assessment of seagrass coverage on Panggang Island and Karang Congkak Island: a comparison between pre and post COVID-19 pandemic using Planetscope imagery

Andjarin Kurni Gustilasessio, Pramaditya Wicaksono, Djumanto .

Proceedings Volume 12977, 129770S (2024) https://doi.org/10.1117/12.3009672

KEYWORDS: COVID 19, Ecosystems, Linear regression, Remote sensing, Random forests, Visualization, Machine learning

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Proceedings Article | 29 January 2024 Paper

Time-series seagrass percent cover mapping in Gili Lawang Island using PlanetScope imagery

Abeer Firdaus Adiva Hadi, Yusuf Abdul Jabbar, Dhia Fajrani Jiwasejati Budhi, Rizki Nurvitasari, Raufadho Rachman Hakim, Pramaditya Wicaksono, Candra Sari Djati Kartika

Proceedings Volume 12977, 1297712 (2024) https://doi.org/10.1117/12.3009612

KEYWORDS: Rain, Ecosystems, Data modeling, Oceanography, Accuracy assessment, Random forests, Education and training, Satellites

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Proceedings Article | 29 January 2024 Paper

Parameter tuning of unsupervised algorithms to identify oil spills on the sea surface

Rizky Faristyawan, Pramaditya Wicaksono, Sanjiwana Arjasakusuma, Restu Wardani

Proceedings Volume 12977, 129770Z (2024) https://doi.org/10.1117/12.3009603

KEYWORDS: Wind speed, Meteorology, Synthetic aperture radar, Satellites, Image classification, Visualization, Satellite imaging, Environmental sensing, Earth observing sensors

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Proceedings Article | 22 December 2021 Paper

Assessment of image segmentation and deep learning for mapping paddy fields using Worldview-3 in Magelang, Central Java Provinces, Indonesia

Sandiaga Swahyu Kusuma, Sanjiwana Arjasakusuma, Raihan Rafif, Siti Saringatin, Pramaditya Wicaksono, Ammar Abdul Aziz

Proceedings Volume 12082, 1208207 (2021) https://doi.org/10.1117/12.2619502

KEYWORDS: Image segmentation, Java, Associative arrays, Spatial resolution, Image classification, Remote sensing, Image analysis, Accuracy assessment, Short wave infrared radiation, Object recognition

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Proceedings Article | 22 December 2021 Paper

Live and dead coral cover mapping using PlanetScope image around Mandangin Island, Madura, Indonesia

M. Rozi Nasrul, Pramaditya Wicaksono, Sanjiwana Arjasakusuma

Proceedings Volume 12082, 120820G (2021) https://doi.org/10.1117/12.2619448

KEYWORDS: Ecosystems, Associative arrays, Signal attenuation, Water, Image classification, Satellites, Satellite imaging, Image processing, Ocean optics, Accuracy assessment

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Proceedings Article | 22 December 2021 Paper

Estimated change in the percentage of vegetation cover after the eruption of Mount Agung, Bali in 2017

Mohammad Naufal Fathoni, Pramaditya Wicaksono, Syamsul Bachri

Proceedings Volume 12082, 120820W (2021) https://doi.org/10.1117/12.2617334

KEYWORDS: Vegetation, Data modeling, Visualization, Remote sensing, Error analysis, Visual process modeling, Statistical modeling, Satellites, Atmospheric corrections

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Proceedings Article | 24 December 2019 Paper

Random forest classification and regression for seagrass mapping using PlanetScope image in Labuan Bajo, East Nusa Tenggara

Ana Ariasari, . Hartono, Pramaditya Wicaksono

Proceedings Volume 11372, 113721Q (2019) https://doi.org/10.1117/12.2541718

KEYWORDS: Technetium, Image classification, Reflectivity, Machine learning, Ocean optics, Water, Carbon, Error analysis, Associative arrays, Remote sensing

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Random forest is a machine learning algorithm that can be used to improve the classification accuracy of mapping using remote sensing, especially for seagrass mapping in a complex optically water shallow. This research is aimed to map seagrass species composition and percent cover using random forest classification and regression using PlanetScope image. Optically shallow water around Labuan Bajo was selected as the study area. Sunglint and water column corrections were applied to the surface reflectance image. Principle Component Analysis (PCA) transformation was applied on surface reflectance bands, deDeglint bands, and depth-invariant index bands. These bands were used as the input band for random forest classification and regression algorithm, using field data to train the algorithm. Benthic field data was collected by the photo transect and seagrass field data was collected by the photo quadrat transect technique. Benthic habitat classification scheme was constructed based on the variation of benthic habitat insitu, which consisted of coral reefs, seagrass, macroalgae, and bare substratum. Seagrass species composition classification scheme was constructed following the variation of seagrass species insitu, which consisted Enhalus acaroides (Ea), Enhalus acaroides mixed Syringodium isoetilolium (EaSi), Enhalus acaroides mixed Thalassia hemprichii (EaTh), Halodule uninervis (Hu), Mixed species class, Thalassodendron ciliatum (Tc), Thalassodendron ciliatum mixed Enhalus acaroides (TcEa), Thalassia hemprichii (Th), Thalassia hemprichii mixed Cymodocea rotundata (ThCr), and Thalassia hemprichii mixed Syringodium isoetilolium (ThSi) class. Accuracy assessment using independent field data showed that random forest algorithm produced 63.57%- 72.09% overall accuracy for benthic habitat and 83.52%-85.71% overall accuracy for seagrass species composition. Random forest regression for seagrass percent cover produced R 2 between 0.78-0.81 with the error of prediction between 14.59-15.26.

Proceedings Article | 24 December 2019 Paper

Semi-automatic shoreline extraction using water index transformation on Landsat 8 OLI imagery in Jepara Regency

Arief Wicaksono, Pramaditya Wicaksono, Nurul Khakhim, Nur Mohammad Farda, Muh Aris Marfai

Proceedings Volume 11372, 113721I (2019) https://doi.org/10.1117/12.2540967

KEYWORDS: Earth observing sensors, Landsat, Water, Tolerancing, Spatial resolution, Accuracy assessment, Visualization, Clouds, Ocean optics, Oceanography

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Proceedings Article | 24 December 2019 Paper

Support vector machine for seagrass percent cover mapping using PlanetScope image in Labuan Bajo, East Nusa Tenggara

Miftakhul Munir, Pramaditya Wicaksono

Proceedings Volume 11372, 113721R (2019) https://doi.org/10.1117/12.2541849

KEYWORDS: Ecosystems, Ocean optics, Organisms, Carbon sequestration, Water, Remote sensing, Image resolution, Spatial resolution, Image classification, Machine learning

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Proceedings Article | 24 December 2019 Paper

Benthic habitat mapping on different coral reef types using random forest and support vector machine algorithm

Zhafirah Zhafarina, Pramaditya Wicaksono

Proceedings Volume 11372, 113721M (2019) https://doi.org/10.1117/12.2540727

KEYWORDS: Image classification, Machine learning, Data modeling, Accuracy assessment, Water, Animal model studies, Associative arrays, Image processing, Remote sensing, Oceanography

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Proceedings Article | 21 November 2019 Open Access

Coastal water environment suitability studies for green mussel cultivation in Pasaran Island, Lampung Bay

Arief Wicaksono, Wahyu Lazuardi, Ariani Puji Astuti, Tika Maitela, Andiyanti Putri Estigade, Muhammad Hilmy Aziz, Dea Nadia, Mousafi Dimas, Pramaditya Wicaksono, Wirastuti Widyatmanti

Proceedings Volume 11311, 113110D (2019) https://doi.org/10.1117/12.2548485

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Proceedings Article | 21 November 2019 Open Access

Seagrass species composition and above-ground carbon stock mapping in Parang Island using Planetscope image

Indinna Shofia Astuty, Pramaditya Wicaksono

Proceedings Volume 11311, 1131103 (2019) https://doi.org/10.1117/12.2549137

KEYWORDS: Carbon, Chromium, Associative arrays, Holmium, Remote sensing, Animal model studies, Statistical modeling, Error analysis, Ocean optics, Silicon

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Proceedings Article | 24 October 2018 Paper

Machine-learning regression for coral reef percentage cover mapping

Pramaditya Wicaksono, Wahyu Lazuardi, Afif Al Hadi, Muhammad Kamal

Proceedings Volume 10778, 107780F (2018) https://doi.org/10.1117/12.2324028

KEYWORDS: Image quality, Remote sensing, Machine learning, Signal to noise ratio, Spatial resolution, Principal component analysis

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Proceedings Article | 9 October 2018 Paper

Combining field and image spectral reflectance for mangrove species identification and mapping using WorldView-2 image

Muhammad Kamal, Muhammad U. Ningam, Finni Alqorina, Pramaditya Wicaksono, Sigit Murti

Proceedings Volume 10790, 107901P (2018) https://doi.org/10.1117/12.2325629

KEYWORDS: Reflectivity, Spectroscopy, Remote sensing, Image processing, Near infrared, Calibration, Spectral resolution, Sensors, Analytical research, Vegetation

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Proceedings Article | 2 November 2017 Presentation + Paper

Spectral response of healthy and damaged leaves of tropical seagrass Enhalus acoroides, Thalassia hemprichii, and Cymodocea rotundata

Pramaditya Wicaksono, Muhammad Kamal

Proceedings Volume 10421, 104210L (2017) https://doi.org/10.1117/12.2278027

KEYWORDS: Remote sensing, Ecosystems, Spectroscopy, Reflectivity, Hyperspectral imaging

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Proceedings Article | 7 October 2011 Paper

Preliminary work of mangrove ecosystem carbon stock mapping in small island using remote sensing: above and below ground carbon stock mapping on medium resolution satellite image

Pramaditya Wicaksono, Projo Danoedoro, Hartono Hartono, Udo Nehren, Lars Ribbe

Proceedings Volume 8174, 81741B (2011) https://doi.org/10.1117/12.897926

KEYWORDS: Carbon, Vegetation, Remote sensing, Carbon sequestration, Radiometric corrections, Landsat, Ecosystems, Reflectivity, Error analysis, Earth observing sensors

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Showing 5 of 17 publications

SPIE Conference Volume | 22 December 2021

Seventh Geoinformation Science Symposium 2021

Conference Committee Involvement (1)

Seventh Geoinformation Science Symposium

25 October 2021 | Yogyakarta, Indonesia

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