Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dung Trung Ngo"'
Publikováno v:
STAR Protocols, Vol 5, Iss 4, Pp 103425- (2024)
Summary: Unmanned aerial vehicle (UAV) or drone image data are useful tools for creating machine learning-based mangrove categorization maps. Here, we present a protocol for creating a taxonomy map of mangrove species using machine learning and multi
Externí odkaz:
https://doaj.org/article/d2f49b729dae4848bacc0d001787b17f
Autor:
Dung Trung Ngo
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35159- (2024)
Wetlands provide resources, regulate the environment, and stabilize shorelines; however, they are among the most vulnerable ecosystems in the world. The classification of mangrove species allows the determination of the habitat of each species, there
Externí odkaz:
https://doaj.org/article/4c557fd055cc4fa7846815b6ba01fe01
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16984- (2023)
Wetlands are one of the most important ecosystems as habitats for many animal and plant species and are crucial for disaster mitigation, improving environmental quality, storing carbon, and responding to climate change. However, these sensitive ecosy
Externí odkaz:
https://doaj.org/article/2fe8710cc7034941b3129c4d2ea4f010
Publikováno v:
Heliyon, Vol 9, Iss 1, Pp e12864- (2023)
Remote sensing imagery is the most suitable tool for monitoring, managing, and evaluating land-use overlay fluctuations, especially forest cover for large areas. Free- and medium-resolution satellite imagery is a useful tool that allows scientific re
Externí odkaz:
https://doaj.org/article/7e3c0f713b5f474ab979009e3b201f6d
Publikováno v:
Tạp chí Khoa học và Công nghệ Nhiệt đới.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d7221b83fe20c329caaab4bf48096d
https://doi.org/10.58334/vrtc.jtst.n23.01
https://doi.org/10.58334/vrtc.jtst.n23.01