Zobrazeno 1 - 3
of 3
pro vyhledávání: '"David Bustos Usta"'
Autor:
Lien Rodríguez-López, Denisse Alvarez, David Bustos Usta, Iongel Duran-Llacer, Lisandra Bravo Alvarez, Nathalie Fagel, Luc Bourrel, Frederic Frappart, Roberto Urrutia
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 647 (2024)
In this study, we employ in situ, meteorological, and remote sensing data to estimate chlorophyll-a concentration at different depths in a South American freshwater ecosystem, focusing specifically on a lake in southern Chile known as Lake Maihue. Fo
Externí odkaz:
https://doaj.org/article/4cc36d5ea16d4b4a8ae3bf43fd8cdc3c
Autor:
Lien Rodríguez-López, David Bustos Usta, Iongel Duran-Llacer, Lisandra Bravo Alvarez, Santiago Yépez, Luc Bourrel, Frederic Frappart, Roberto Urrutia
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4157 (2023)
In this study, we combined machine learning and remote sensing techniques to estimate the value of chlorophyll-a concentration in a freshwater ecosystem in the South American continent (lake in Southern Chile). In a previous study, nine artificial in
Externí odkaz:
https://doaj.org/article/03080a3d3dd740ef9f261566fa39881a
Autor:
Lien Rodríguez-López, David Bustos Usta, Lisandra Bravo Alvarez, Iongel Duran-Llacer, Andrea Lami, Rebeca Martínez-Retureta, Roberto Urrutia
Publikováno v:
Water; Volume 15; Issue 11; Pages: 1994
The world’s water ecosystems have been affected by various human activities. Artificial intelligence techniques, especially machine learning, have become an important tool for predicting the water quality of inland aquatic ecosystems. As an excelle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe885a176ec47b8ff70f1a01b88b631
https://doi.org/10.3390/w15111994
https://doi.org/10.3390/w15111994