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Pramaditya Wicaksono

Biographic Data

ID7494359
NAMEPramaditya Wicaksono
GIVEN NAMESPramaditya
FAMILY NAMEWicaksono
SIGNATUREWICAKSONO P
AFFILIATIONSUniversitas Gadjah Mada
ORCID0000-0001-5797-0284
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Rapid Bathymetry Mapping Based on Shallow Water Cloud Computing in Small Bay Waters: Pilot Project in Pacitan-Indonesia

    Open Access•Nurul Khakhim, Ade Kurniawan et al.•ARTICLE•Journal of Environmental…•2024

    Mapping coastal areas generally requires large data constellations in time series and requires analysis using complex mathematical and modeling approaches. In shallow-water bathymetric mapping, remote sensing plays an important role in supporting conventional bathymetric mapping, especially in areas that are difficult to access. This method called Satellite Derived Bathymetry (SDB). The cloud computing approach is a solution for mapping shallow w…

  • Network analysis reveals overlapping roles of stakeholders related to seagrass-data provisioning in Indonesia

    Open Access•Nurul Dhewani Mirah Sjafrie, Pramaditya Wicaksono et al.•ARTICLE•Marine Policy•2023

  • Combination of Landsat 8 OLI and Sentinel-1 SAR Time-Series Data for Mapping Paddy Fields in Parts of West and Central Java Provinces, Indonesia

    Open Access•Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma et al.•ARTICLE•ISPRS International Journal of…•2020

    The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal characteristics. Our study aims to employ temporal patterns from monthly-median Sentinel-1 (S1) C-band synthetic aperture radar data and cloud-filled monthly spectral indices, i.e., Normalized Difference Veg…

No prominent works on this page.

  • Combination of Landsat 8 OLI and Sentinel-1 SAR Time-Series Data for Mapping Paddy Fields in Parts of West and Central Java Provinces, Indonesia

    Open Access•Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma et al.•ARTICLE•ISPRS International Journal of…•2020

    The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal characteristics. Our study aims to employ temporal patterns from monthly-median Sentinel-1 (S1) C-band synthetic aperture radar data and cloud-filled monthly spectral indices, i.e., Normalized Difference Veg…

  • Network analysis reveals overlapping roles of stakeholders related to seagrass-data provisioning in Indonesia

    Open Access•Nurul Dhewani Mirah Sjafrie, Pramaditya Wicaksono et al.•ARTICLE•Marine Policy•2023

  • Rapid Bathymetry Mapping Based on Shallow Water Cloud Computing in Small Bay Waters: Pilot Project in Pacitan-Indonesia

    Open Access•Nurul Khakhim, Ade Kurniawan et al.•ARTICLE•Journal of Environmental…•2024

    Mapping coastal areas generally requires large data constellations in time series and requires analysis using complex mathematical and modeling approaches. In shallow-water bathymetric mapping, remote sensing plays an important role in supporting conventional bathymetric mapping, especially in areas that are difficult to access. This method called Satellite Derived Bathymetry (SDB). The cloud computing approach is a solution for mapping shallow w…

Computer Science (3 works) · Environmental Science (3 works) · Engineering (2 works) · Geography (2 works) · Geology (2 works) · Bathymetry (1 works) · Bay (1 works) · Business (1 works) · Cartography (1 works) · Climate change (1 works)

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