Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hongxiao Jin"'
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:
Hongxiao Jin, Ning Chen, Xiaowei Tong, Ke Huang, Zhanzhang Cai, Nan Cong, Jiaxing Zu, Lanhui Wang, Yangjian Zhang, Rasmus Fensholt, Torbern Tagesson, Martin Brandt
Publikováno v:
The Science of the total environment. 756
The Tibetan Plateau is the highest and largest plateau in the world, hosting unique alpine grassland and having a much higher snow cover than any other region at the same latitude, thus representing a “climate change hot-spot”. Land surface pheno
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:
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
Autor:
Hongxiao Jin, Lars Eklundh
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 53:3405-3416
Light sensors are increasingly used to monitor vegetation growing status by measuring reflectance or transmittance in multispectral or photosynthetically active radiation (PAR) bands. The measurements are then used to estimate vegetation indices or t
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 11; Issue 8; Pages: 7678-7709
Sensors, Vol 11, Iss 8, Pp 7678-7709 (2011)
Sensors; Volume 11; Issue 8; Pages: 7678-7709
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