Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gatot Nugroho"'
Autor:
Muhammad Priyatna, Sastra Kusuma Wijaya, Muhammad Rokhis Khomarudin, Fajar Yulianto, Gatot Nugroho, Pingkan Mayestika Afgatiani, Anisa Rarasati, Muhammad Arfin Hussein
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 10, Iss 2, Pp 4073-4080 (2023)
Indonesia is one of the countries in the world that is frequently affected by floods. Flood disasters can have various negative impacts and therefore need to be analyzed to determine prevention and mitigation measures. This study examined land cover
Externí odkaz:
https://doaj.org/article/ee8dd8eb963747739bf44cd123a45cb5
Autor:
Fajar Yulianto, Muhammad Rokhis Khomarudin, Eddy Hermawan, Nunung Puji Nugroho, Galdita Aruba Chulafak, Gatot Nugroho, Udhi Catur Nugroho, Suwarsono Suwarsono, Hana Listi Fitriana, Eko Priyanto
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 9, Iss 2, Pp 3293-3305 (2022)
In Indonesia, flooding is one of the natural hazards that often occurs during the rainy season. Surface runoff coefficient values are an essential indicator of the supply of regional water resources. The smaller the surface runoff value, the greater
Externí odkaz:
https://doaj.org/article/0f7ff1d7a48a4595ad068433044d9c03
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 8, Iss 3, Pp 2731-2741 (2021)
In environmental management, land cover change is a crucial aspect. The area of tropical savanna environments is vulnerable to land degradation. This study aimed to rapidly detect land cover changes in a tropical savanna environment based on remote s
Externí odkaz:
https://doaj.org/article/e6193a0d569745cfa1eaadd6bb8770bd
Autor:
Fajar Yulianto, Dony Kushardono, Syarif Budhiman, Gatot Nugroho, Galdita Aruba Chulafak, Esthi Kurnia Dewi, Anjar Ilham Pambudi
Publikováno v:
The Scientific World Journal, Vol 2022 (2022)
In this study, we proposed an automatic water extraction index (AWEI) threshold improvement model that can be used to detect lake surface water based on optical remote sensing data. An annual Landsat 8 mosaic was created using the Google Earth Engine
Externí odkaz:
https://doaj.org/article/6b2e41e517f9463c99f6042f4b0d07f3
Autor:
Fajar Yulianto, Muhammad Rokhis Khomarudin, Eddy Hermawan, Syarif Budhiman, Parwati Sofan, Galdita Aruba Chulafak, Nunung Puji Nugroho, Randy Prima Brahmantara, Gatot Nugroho, Suwarsono Suwarsono, Eko Priyanto, Hana Listi Fitriana, Andie Setiyoko, Anjar Dimara Sakti
Publikováno v:
Natural Hazards. 117:1887-1922
Publikováno v:
The Scientific World Journal, Vol 2021 (2021)
Improvement in the accuracy of the postclassification of land use and land cover (LULC) is important to fulfil the need for the rapid mapping of LULC that can describe the changing conditions of phenomena resulting from interactions between humans an
Externí odkaz:
https://doaj.org/article/29caed60c0844b8f95175894de542913
Autor:
Florentinus Dika Octa Riswanto, Maywan Hariono, Gatot Nugroho Susanto, Ignatius Yulius Kristio Budiasmoro, Enade Perdana Istyastono
Publikováno v:
Jurnal Manusia dan Lingkungan, Vol 24, Iss 2, Pp 89-94 (2017)
ASBTRAK Sungai Gajah Wong, salah satu sungai di kota Yogyakarta, dikhawatirkan terpapar pencemaran air akibat pembuangan limbah rumah tangga, industri, rumah sakit maupun hotel yang masuk ke dalam alirannya. Hal ini menyebabkan penurunan kualitas air
Externí odkaz:
https://doaj.org/article/faab992794a74f8c99c1974166cf952c
Autor:
Fajar Yulianto, Puguh Dwi Raharjo, Irfan Budi Pramono, Muhammad Anggri Setiawan, Galdita Aruba Chulafak, Gatot Nugroho, Anjar Dimara Sakti, Sapto Nugroho, Syarif Budhiman
Publikováno v:
Modeling Earth Systems and Environment.
Autor:
Fajar Yulianto, Puguh Dwi Raharjo, Irfan Budi Pramono, Muhammad Anggri Setiawan, Galdita Aruba Chulafak, Gatot Nugroho, Anjar Dimara Sakti, Sapto Nugroho, Syarif Budhiman
The study area is a tropical environment located in the Batanghari watershed, Sumatra, Indonesia. The existence of the environmental problems and damages in the study area can be identified based on land degradation. It can be interpreted as a comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df8e6bc304fb75f493cbb822887d23b
https://doi.org/10.21203/rs.3.rs-2177125/v1
https://doi.org/10.21203/rs.3.rs-2177125/v1
Autor:
Fajar Yulianto, Muhammad Rokhis Khomarudin, Eddy Hermawan, Syarif Budhiman, Parwati Sofan, Galdita Aruba Chulafak, Nunung Puji Nugroho, Randy Prima Brahmantara, Gatot Nugroho, Eko Priyanto, Hana Listi Fitriana, Andie Setiyoko, Anjar Dimara Sakti
This study proposes a new model for flood inundation modeling using the Raster-based Probability Flood Inundation Model (RProFIM) approach. The flood modeling was carried out based on the landuse/landcover (LULC) change scenario and the difference in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfdda576b842e2585af5132a497886fc
https://doi.org/10.21203/rs.3.rs-1724392/v1
https://doi.org/10.21203/rs.3.rs-1724392/v1