Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Maximo Larry Lopez Caceres"'
Autor:
Thi Cam Nhung Tran, Maximo Larry Lopez Caceres, Sergi Garcia i Riera, Marco Conciatori, Yoshiki Kuwabara, Ching-Ying Tsou, Yago Diez
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3831 (2024)
Vegetation biodiversity in mountainous regions is controlled by altitudinal gradients and their corresponding microclimate. Higher temperatures, shorter snow cover periods, and high variability in the precipitation regime might lead to changes in veg
Externí odkaz:
https://doaj.org/article/9b24e62ce5f84a839975f62cf8639c50
Autor:
Marco Conciatori, Nhung Thi Cam Tran, Yago Diez, Alessandro Valletta, Andrea Segalini, Maximo Larry Lopez Caceres
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3654 (2024)
Biodiversity is a characteristic of ecosystems that plays a crucial role in the study of their evolution, and to estimate it, the species of all plants need to be determined. In this study, we used Unmanned Aerial Vehicles to gather RGB images of mid
Externí odkaz:
https://doaj.org/article/bffece821c0747b7a7714b1cebc14e82
Autor:
Michael Leopold Schaefer, Wolfgang Bogacki, Maximo Larry Lopez Caceres, Lothar Kirschbauer, Chihiro Kato, Shun-ichi Kikuchi
Publikováno v:
Hydrology, Vol 11, Iss 7, p 101 (2024)
Snow, especially in mountainous regions, plays a major role acting as a quasi-reservoir, as it gradually releases fresh water during the melting season and thereby fills rivers, lakes, and groundwater aquifers. For vegetation and irrigation, the timi
Externí odkaz:
https://doaj.org/article/c3a328fc648047b3ad2d4bcb47144b0d
Autor:
Yago Diez Donoso, Nuno Gracias, Mariano Cabezas, Carsten Juergens, Maximo Larry Lopez Caceres
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/5bc6b7b530594e249238c8129fd46111
Publikováno v:
Water, Vol 14, Iss 18, p 2785 (2022)
The effects of the present global climate change appear more pronounced in high latitudes and alpine regions. Transitions zones, such as the southern fringe of the boreal region in northern Mongolia, are expected to experience drastic changes as a re
Externí odkaz:
https://doaj.org/article/67a2a5a8a93745d1a54843e7b570f2a6
Autor:
Orou Berme Herve Gonroudobou, Leonardo Huisacayna Silvestre, Yago Diez, Ha Trang Nguyen, Maximo Larry Lopez Caceres
Publikováno v:
Computation, Vol 10, Iss 6, p 90 (2022)
Unmanned aerial vehicles (UAVs) are becoming essential tools for surveying and monitoring forest ecosystems. However, most forests are found on steep slopes, where capturing individual tree characteristics might be compromised by the difference in gr
Externí odkaz:
https://doaj.org/article/6ca98011131f4e048223b4dae774b0d5
Autor:
Tobias Leidemer, Orou Berme Herve Gonroudobou, Ha Trang Nguyen, Chiara Ferracini, Benjamin Burkhard, Yago Diez, Maximo Larry Lopez Caceres
Publikováno v:
Computation, Vol 10, Iss 4, p 63 (2022)
Bark beetle outbreaks are responsible for the loss of large areas of forests and in recent years they appear to be increasing in frequency and magnitude as a result of climate change. The aim of this study is to develop a new standardized methodology
Externí odkaz:
https://doaj.org/article/7de6a4fb8d1f4010ab051a9bb56b1d30
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