Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Koma Moritake"'
Autor:
Yago Diez, Sarah Kentsch, Motohisa Fukuda, Maximo Larry Lopez Caceres, Koma Moritake, Mariano Cabezas
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2837 (2021)
Forests are the planet’s main CO2 filtering agent as well as important economical, environmental and social assets. Climate change is exerting an increased stress, resulting in a need for improved research methodologies to study their health, compo
Externí odkaz:
https://doaj.org/article/0f51811b4dd54c6f965131c92bbc31ae
Autor:
Ha Trang Nguyen, Maximo Larry Lopez Caceres, Koma Moritake, Sarah Kentsch, Hase Shu, Yago Diez
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2100 (2021)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/f3476c9eb89c4b3a8000935935354e04
Autor:
Ha Trang Nguyen, Maximo Larry Lopez Caceres, Koma Moritake, Sarah Kentsch, Hase Shu, Yago Diez
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 260 (2021)
Insect outbreaks are a recurrent natural phenomenon in forest ecosystems expected to increase due to climate change. Recent advances in Unmanned Aerial Vehicles (UAV) and Deep Learning (DL) Networks provide us with tools to monitor them. In this stud
Externí odkaz:
https://doaj.org/article/eb47a62d48e94822a90067d7a29af65b
Autor:
Hase Shu, Ha Trang Nguyen, Koma Moritake, Maximo Larry Lopez Caceres, Yago Diez, Sarah Kentsch
Publikováno v:
Remote Sensing, Vol 13, Iss 2100, p 2100 (2021)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e3213f9eaa18c94bf2de53bc51fcd73
https://www.mdpi.com/2072-4292/13/11/2100
https://www.mdpi.com/2072-4292/13/11/2100
Autor:
Sarah Kentsch, Hase Shu, Koma Moritake, Maximo Larry Lopez Caceres, Ha Trang Nguyen, Yago Diez
Insect outbreaks are a recurrent natural phenomenon in forest ecosystems expected to increase due to climate change. Recent advances in Unmanned Aerial Vehicles (UAV) and Deep Learning (DL) Networks provide us with tools to monitor them. In this stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cd13465cd6981c773645adcc8d2730c
https://doi.org/10.5194/egusphere-egu21-14091
https://doi.org/10.5194/egusphere-egu21-14091
Autor:
Ferran Roure, Sarah Kentsch, Ha Trang Nguyen, Koma Moritake, Maximo Larry Lopez Caceres, Daniel Serrano, Yago Diez
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030661243
ICPRAM (Revised Selected Papers)
ICPRAM (Revised Selected Papers)
Tree counting and classification tasks in forestry are often addressed by costly, in terms of labour and money, field surveys carried on manually by forestry experts. Consequently, computer vision techniques have been used to automatically detect tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::838537e6ed5a6ea4f3b519c1cdcbc042
https://doi.org/10.1007/978-3-030-66125-0_5
https://doi.org/10.1007/978-3-030-66125-0_5