Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hongxiao Jin"'
Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes
Autor:
Hongxiao Jin, Sergio M. Vicente-Serrano, Feng Tian, Zhanzhang Cai, Tobias Conradt, Boris Boincean, Conor Murphy, Begoña Alvarez Farizo, Sam Grainger, Juan I. López-Moreno, Lars Eklundh
Publikováno v:
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-14 (2023)
Abstract Europe has experienced severe drought events in recent decades, posing challenges to understand vegetation responses due to diverse vegetation distribution, varying growth stages, different drought characteristics, and concurrent hydroclimat
Externí odkaz:
https://doaj.org/article/13d944b8d5064a2e810633d1e63c083a
Autor:
Zhanzhang Cai, Xiaoye Tong, Roel Van Hoolst, Eva Ivits, Koen Hufkens, Kasper Bonte, Jonas Ardö, Torbern Tagesson, Bruno Smets, Hongxiao Jin, Helfried Scheifinger, Lars Eklundh, Feng Tian
Publikováno v:
Tian, F, Cai, Z, Jin, H, Hufkens, K, Scheifinger, H, Tagesson, T, Smets, B, Van Hoolst, R, Bonte, K, Ivits, E, Tong, X, Ardö, J & Eklundh, L 2021, ' Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe ', Remote Sensing of Environment, vol. 260, 112456 . https://doi.org/10.1016/j.rse.2021.112456
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2021, 260, pp.1-15. ⟨10.1016/j.rse.2021.112456⟩
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2021, 260, pp.1-15. ⟨10.1016/j.rse.2021.112456⟩
International audience; Vegetation phenology obtained from time series of remote sensing data is relevant for a range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial resolution with a similar to 5-day repeat cycl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::349b7db86d905f7204c63cdb6dd6e675
https://orbit.dtu.dk/en/publications/b4df7fc4-1343-458b-be9e-65acc2f6620f
https://orbit.dtu.dk/en/publications/b4df7fc4-1343-458b-be9e-65acc2f6620f
Autor:
Ursula S. McKnight, Peter Bauer-Gottwein, Hongxiao Jin, Radu Malureanu, Rafael Muñoz-Carpena, Sheng Wang, Mark S. Johnson, Ana María Durán-Quesada, Juan M. Serrano Sandí, Monica Garcia, Stefano Barchiesi, Christian Josef Köppl, Carsten Dam-Hansen
Publikováno v:
Köppl, C J, Malureanu, R, Dam-Hansen, C, Wang, S, Jin, H, Barchiesi, S, Serrano Sandí, J M, Muñoz-Carpena, R, Johnson, M, Durán-Quesada, A M, Bauer-Gottwein, P, McKnight, U S & Garcia, M 2021, ' Hyperspectral reflectance measurements from UAS under intermittent clouds : Correcting irradiance measurements for sensor tilt ', Remote Sensing of Environment, vol. 267, 112719 . https://doi.org/10.1016/j.rse.2021.112719
Remote Sensing of Environment, vol.267, pp.1-15
Kérwá
Universidad de Costa Rica
instacron:UCR
Remote Sensing of Environment, vol.267, pp.1-15
Kérwá
Universidad de Costa Rica
instacron:UCR
One great advantage of optical hyperspectral remote sensing from unmanned aerial systems (UAS) compared to satellite missions is the possibility to fly and collect data below clouds. The most typical scenario is flying below intermittent clouds and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8460ec66ba4d7013e86b7c5825ef25b1
https://orbit.dtu.dk/en/publications/59d27ce9-1438-420d-929f-88cc7d82d4a1
https://orbit.dtu.dk/en/publications/59d27ce9-1438-420d-929f-88cc7d82d4a1
Publikováno v:
Remote Sensing of Environment. 198:203-212
Land surface phenology is frequently derived from remotely sensed data. However, over regions with seasonal snow cover, remotely-sensed land surface phenology may be dominated by snow seasonality, rather than showing true plant phenology. Overlooking
Publikováno v:
Science in China Series D: Earth Sciences. 43:431-438
Seismic tomography is a new geophysical technique being developed to meet the needs of mining and engineering projects. Attenuation tomography, as one kind of seismic tomography technique, is a powerful prospecting tool for determining structure defa