Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ferman Setia Nugroho"'
Publikováno v:
Artificial Intelligence in Geosciences, Vol 5, Iss , Pp 100093- (2024)
Machine learning (ML) algorithms are frequently used in landslide susceptibility modeling. Different data handling strategies may generate variations in landslide susceptibility modeling, even when using the same ML algorithm. This research aims to c
Externí odkaz:
https://doaj.org/article/fae2a1952b294d0d8fd53fe5946c2c5f
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 5, Iss 2, Pp 177-188 (2018)
Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in t
Externí odkaz:
https://doaj.org/article/23e4bcb21dd04b11a7f157ccccea425a
The utilization of multi-sensor remote sensing and cloud-computing platform for mapping burned areas
Autor:
Ferman Setia Nugroho, Projo Danoedoro, Sanjiwana Arjasakusuma, Danang Surya Candra, Athar Abdurrahman Bayanuddin, Retnadi Heru Jatmiko, Pramaditya Wicaksono
Publikováno v:
THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85af6a3337d90406e835f210c7e535a
https://doi.org/10.1063/5.0114317
https://doi.org/10.1063/5.0114317
Autor:
Sutan Takdir Ali Munawar, Ferman Setia Nugroho, Athar Abdurrahman Bayanuddin, Zylshal Zylshal
Publikováno v:
Geomatics Application for Geography. :163-179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c2161dc6fdef5d4abc3377228e272c
https://doi.org/10.21163/gt_2021.163.13
https://doi.org/10.21163/gt_2021.163.13
Autor:
Ferman Setia Nugroho
Publikováno v:
International Journal of GEOMATE. 23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba9ebfced71df1b55b02195d4308b92
https://doi.org/10.21660/2022.96.3312
https://doi.org/10.21660/2022.96.3312
Autor:
Guruh Samodra, Ferman Setia Nugroho
Machine learning (ML) algorithms are frequently used in landslide susceptibility modeling. Different data handling strategies may generate variations in landslide susceptibility modeling, even when using the same ML algorithm. This research aims to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::823d3c53fd52f0a2552636dcf8edf54e
https://doi.org/10.21203/rs.3.rs-1441095/v1
https://doi.org/10.21203/rs.3.rs-1441095/v1
Autor:
Mukhamad Ngainul Malawani, Ngadisih Ngadisih, Djati Mardiatno, Guruh Samodra, Ferman Setia Nugroho, Ahmad Cahyadi
Publikováno v:
Journal of Mountain Science. 17:773-786
Tropical cyclone (TC) Cempaka which occurred on 27–29 November 2017 has caused floods, landslides, and strong winds in certain areas of Java Island. Pacitan Regency was the most severely affected by TC Cempaka. The landslide frequency–area distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c594dadbd6787b9cba198a3a12c66268
https://doi.org/10.1007/s11629-019-5734-y
https://doi.org/10.1007/s11629-019-5734-y
Assessment of Sentinel-1 and Sentinel-2 Data for Landslides Identification using Google Earth Engine
Autor:
Ferman Setia Nugroho, Projo Danoedoro, Sanjiwana Arjasakusuma, Danang Surya Candra, Athar Abdurrahman Bayanuddin, Guruh Samodra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1a7cd886ae0ef17517733df84a8c2e