Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Sanjiwana ARJASAKUSUMA"'
Autor:
Yusri Khoirurrizqi, Rohmad Sasongko, Nur Laila Eka Utami, Amanda Irbah, Sanjiwana Arjasakusuma
Publikováno v:
Forum Geografi, Vol 37, Iss 2, Pp 134-148 (2023)
The land-conversion of rice fields can reduce rice production and negatively impact food security. Consequently, monitoring is essential to prevent the loss of productive agricultural land. This study uses a combination of Sentinel-2 MSI, Sentinel-1
Externí odkaz:
https://doaj.org/article/a29287daebcb4bbf9c6c2ae2509fe945
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 10, Iss 2, Pp 123-134 (2023)
Mapping and inventory of the distribution and composition of mangrove vegetation structures are crucial in managing mangrove ecosystems. The availability of airborne LiDAR remote sensing technology provides capability of mapping vegetation structures
Externí odkaz:
https://doaj.org/article/77d8cfdeea82423badc401a5f08694d4
Autor:
Projo Danoedoro, Prima Widayani, Iswari Nur Hidayati, Sanjiwana Arjasakusuma, Diwyacitta Dirda Gupita, Huwaida Nur Salsabila
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Forest cover density (FCD) transformation and random decision forest (RDF) classification have been widely used for vegetation mapping. Nevertheless, a comparison of their capabilities in complex tropical landscapes is still rarely carried out. This
Externí odkaz:
https://doaj.org/article/b0e4cb2a3b9147eea4655402a5736463
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
Publikováno v:
Jurnal Geografi, Vol 14, Iss 2, Pp 192-201 (2022)
Mangroves can store carbon effectively with a value of about 1,023 Mg C/Ha and become one of the richest forests that store 4-20 billion tons of blue carbon globally. Remote sensing imagery can be used to map mangrove surface carbon stocks using rada
Externí odkaz:
https://doaj.org/article/bf7b6c596c7d43ff933ba3917bba4815
Publikováno v:
Jurnal Geografi, Vol 14, Iss 1, Pp 11-21 (2022)
Surface temperature is one of the parameters in land–surface physical processes and is applied to global warming, climate change, and cycle hydrology. Two thermal bands in Landsat 8 imagery can be used as input for surface temperature extraction us
Externí odkaz:
https://doaj.org/article/f46aa435f0cb45a8857bf7c1f528b095
Publikováno v:
Jurnal Kelautan Tropis, Vol 24, Iss 3, Pp 323-332 (2021)
Seagrass is one community in benthic habitat that has tremendous benefits for the ecosystem, however the existence of seagrass has been frequently marginalized in recent decades. Seagrass beds functions as a blue carbon ecosystem which are able to ab
Externí odkaz:
https://doaj.org/article/ce6e4fb4230a41298fc0829f7c11fb5f
Publikováno v:
Indonesian Journal of Geography, Vol 50, Iss 2, Pp 222-227 (2018)
The accurate information of forest cover change is important to measure the amount of carbon release and sink. The newly-available remote sensing based products and method such as Daichi Forest/Non-Forest (FNF), Global Forest Change (GFC) datasets an
Externí odkaz:
https://doaj.org/article/135c09d876d04cbc8b55511ee8cb84a4
Autor:
Raihan Rafif, Sandiaga Swahyu Kusuma, Siti Saringatin, Giara Iman Nanda, Pramaditya Wicaksono, Sanjiwana Arjasakusuma
Publikováno v:
Land, Vol 10, Iss 12, p 1384 (2021)
Crop intensity information describes the productivity and the sustainability of agricultural land. This information can be used to determine which agricultural lands should be prioritized for intensification or protection. Time-series data from remot
Externí odkaz:
https://doaj.org/article/b0cd0a1674c64dc3b7d3454f918ff599
Autor:
Sanjiwana Arjasakusuma, Yasushi Yamaguchi, Tatsuro Nakaji, Yoshiko Kosugi, Siti-Aisah Shamsuddin, Marryanna Lion
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 863-877 (2018)
Normalized difference vegetation index (NDVI) has been widely applied for monitoring vegetation dynamics. However, NDVI values are known to be profoundly affected by various external factors. In this study, the variation of NDVI values and trends amo
Externí odkaz:
https://doaj.org/article/3e003d8d24a945f08d92e0d84a98c6fa