Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hongxiao Jin"'
Au- or Ag-Decorated ZnO-Rod/rGO Nanocomposite with Enhanced Room-Temperature NO2-Sensing Performance
Publikováno v:
Nanomaterials, Vol 13, Iss 16, p 2370 (2023)
To improve the gas sensitivity of reduced oxide graphene (rGO)-based NO2 room-temperature sensors, different contents (0–3 wt%) of rGO, ZnO rods, and noble metal nanoparticles (Au or Ag NPs) were synthesized to construct ternary hybrids that combin
Externí odkaz:
https://doaj.org/article/404d01edfe1741ce8a911c8da558bad3
Publikováno v:
Nanomaterials, Vol 13, Iss 5, p 917 (2023)
Nanoscale heterostructured zinc oxide/reduced graphene oxide (ZnO/rGO) materials with p–n heterojunctions exhibit excellent low temperature NO2 gas sensing performance, but their doping ratio modulated sensing properties remain poorly understood. H
Externí odkaz:
https://doaj.org/article/519834f3c6354984b9d14eb0ca06b8ad
Autor:
Hongxiao Jin, Christian Josef Köppl, Benjamin M. C. Fischer, Johanna Rojas-Conejo, Mark S. Johnson, Laura Morillas, Steve W. Lyon, Ana M. Durán-Quesada, Andrea Suárez-Serrano, Stefano Manzoni, Monica Garcia
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1866 (2021)
Miniature hyperspectral and thermal cameras onboard lightweight unmanned aerial vehicles (UAV) bring new opportunities for monitoring land surface variables at unprecedented fine spatial resolution with acceptable accuracy. This research applies hype
Externí odkaz:
https://doaj.org/article/78c1cf090bd3454abc51b4474e34464d
Autor:
Zhanzhang Cai, Sofia Junttila, Jutta Holst, Hongxiao Jin, Jonas Ardö, Andreas Ibrom, Matthias Peichl, Meelis Mölder, Per Jönsson, Janne Rinne, Maria Karamihalaki, Lars Eklundh
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 469 (2021)
The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes. This study investigates the potential of 10
Externí odkaz:
https://doaj.org/article/baaeb6f7abe64abab12f38d655c4dbf4
Publikováno v:
Sensors, Vol 11, Iss 8, Pp 7678-7709 (2011)
We present a network of sites across Fennoscandia for optical sampling of vegetation properties relevant for phenology monitoring and satellite data calibration. The network currently consists of five sites, distributed along an N-S gradient through
Externí odkaz:
https://doaj.org/article/fb957c9ab53f48a299cef02a3a4c6731
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1271 (2017)
Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution im
Externí odkaz:
https://doaj.org/article/b1b4dc22b06f4e80a251b1d30c82e737
Autor:
Laura Morillas, Stefano Manzoni, Mark S. Johnson, Hongxiao Jin, Andrea Suarez-Serrano, Steve W. Lyon, Benjamin Fischer, Monica Garcia, Christian Josef Köppl, Ana María Durán-Quesada, Johanna Rojas-Conejo
Low-cost miniature hyperspectral and thermal cameras onboard lightweight unmanned aerial vehicles (UAV) bring new opportunities for monitoring land surface variables at unprecedented fine spatial resolution with acceptable accuracy. This research app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc45fe6c8312b4c381c391949725f06
https://doi.org/10.20944/preprints202104.0267.v1
https://doi.org/10.20944/preprints202104.0267.v1
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1271 (2017)
Remote Sensing; Volume 9; Issue 12; Pages: 1271
Remote Sensing; Volume 9; Issue 12; Pages: 1271
Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution im