Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Danang Surya Candra"'
Autor:
Anjar Dimara Sakti, Emenda Sembiring, Pitri Rohayani, Kamal Nur Fauzan, Tania Septi Anggraini, Cokro Santoso, Vinka Aprilla Patricia, Kalingga Titon Nur Ihsan, Attar Hikmahtiar Ramadan, Sanjiwana Arjasakusuma, Danang Surya Candra
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Plastic waste monitoring technology based on Earth observation satellites is one approach that is currently under development in various studies. The complexity of land cover and the high human activity around rivers necessitate the developm
Externí odkaz:
https://doaj.org/article/f3b94615c565440e8c04c46f657a9f16
Autor:
Yudhi Prabowo, Anjar Dimara Sakti, Kuncoro Adi Pradono, Qonita Amriyah, Fadillah Halim Rasyidy, Irwan Bengkulah, Kurnia Ulfa, Danang Surya Candra, Muhammad Thufaili Imdad, Shadiq Ali
Publikováno v:
Data, Vol 7, Iss 6, p 78 (2022)
Wildland fire is one of the most causes of deforestation, and it has an important impact on atmospheric emissions, notably CO2. It occurs almost every year in Indonesia, especially during the dry season. Therefore, it is necessary to identify the bur
Externí odkaz:
https://doaj.org/article/038c8543d6e54b28a2b23ae4e6f418f2
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
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2060 (2019)
Landsat 8 images have been widely used for many applications, but cloud and cloud-shadow cover issues remain. In this study, multitemporal cloud masking (MCM), designed to detect cloud and cloud-shadow for Landsat 8 in tropical environments, was impr
Externí odkaz:
https://doaj.org/article/168ac5267e0941bc88d7ae7056981f8b
Publikováno v:
International Journal of Remote Sensing. 41:2877-2904
Sentinel-2 data provided the opportunity for complementary data to existing missions including Landsat and SPOT. In this study, multitemporal cloud masking (MCM) used to detect cloud and cloud shad...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09d44af59b89af860aa7c0e81a4a2a6
https://doi.org/10.1080/01431161.2019.1697006
https://doi.org/10.1080/01431161.2019.1697006
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
Publikováno v:
International Journal on Advanced Science, Engineering and Information Technology. 11:2459
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8614e126eb23e352f69a453cc578b00
https://doi.org/10.18517/ijaseit.11.6.14312
https://doi.org/10.18517/ijaseit.11.6.14312
Publikováno v:
Remote Sensing; Volume 11; Issue 17; Pages: 2060
Remote Sensing, Vol 11, Iss 17, p 2060 (2019)
Remote Sensing, Vol 11, Iss 17, p 2060 (2019)
Landsat 8 images have been widely used for many applications, but cloud and cloud-shadow cover issues remain. In this study, multitemporal cloud masking (MCM), designed to detect cloud and cloud-shadow for Landsat 8 in tropical environments, was impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1eca0a2de82d51a8713d828a440988