Zobrazeno 1 - 10
of 3 221
pro vyhledávání: '"L, Lyu"'
Autor:
S. Li, S. Xu, K. Song, T. Kutser, Z. Wen, G. Liu, Y. Shang, L. Lyu, H. Tao, X. Wang, L. Zhang, F. Chen
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3581-3599 (2023)
Assessing eutrophication in lakes is of key importance, as this parameter constitutes a major aquatic ecosystem integrity indicator. The trophic state index (TSI), which is widely used to quantify eutrophication, is a universal paradigm in the scient
Externí odkaz:
https://doaj.org/article/0c67915dc2d043a2bbc6996a89626654
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2022, Pp 627-632 (2022)
Aiming at the quality inspection of land cover classification in natural resources investigation and monitoring, a method and process for quickly inspecting land cover misclassification and omission by using airborne Lidar data are proposed. Firstly,
Externí odkaz:
https://doaj.org/article/74900bded96547c1a37f4859a7077627
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1235-1240 (2022)
Carbon losses have enormous impacts on ecosystem and indicative meaning for ecological stability, which are, therefore, necessary to be evaluated. In recent years, with the increasingly number of people settling in Amazon basin, large areas of tropic
Externí odkaz:
https://doaj.org/article/696ad2e424ca4ab09358ea9518b56362
Autor:
H. Tao, K. Song, G. Liu, Q. Wang, Z. Wen, P.-A. Jacinthe, X. Xu, J. Du, Y. Shang, S. Li, Z. Wang, L. Lyu, J. Hou, X. Wang, D. Liu, K. Shi, B. Zhang, H. Duan
Publikováno v:
Earth System Science Data, Vol 14, Pp 79-94 (2022)
Water clarity serves as a sensitive tool for understanding the spatial pattern and historical trend in lakes' trophic status. Despite the wide availability of remotely sensed data, this metric has not been fully explored for long-term environmental m
Externí odkaz:
https://doaj.org/article/b406c55728d04efc8bb5aab18c48b0c4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W10, Pp 769-774 (2020)
Satellite area coverage analysis is complex, especially when the satellite operating state changes. Traditional algorithms cannot quickly and efficiently obtain the satellite area coverage analysis results, and are incapable of providing efficient on
Externí odkaz:
https://doaj.org/article/70f4195baa2540a78897327a6e98dd3e
Autor:
X.-X. Zhang, B. Sharratt, L.-Y. Liu, Z.-F. Wang, X.-L. Pan, J.-Q. Lei, S.-X. Wu, S.-Y. Huang, Y.-H. Guo, J. Li, X. Tang, T. Yang, Y. Tian, X.-S. Chen, J.-Q. Hao, H.-T. Zheng, Y.-Y. Yang, Y.-L. Lyu
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 8353-8371 (2018)
A severe dust storm event originated from the Gobi Desert in Central and East Asia during 2–7 May 2017. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite products, hourly environmental monitoring measurements from Chinese
Externí odkaz:
https://doaj.org/article/66193409e8fb46d49c2a952971ee8b2d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 629-635 (2018)
China has paid considerable attention to space exploration and made great strides in the field. The first Chinese Mars Exploration Mission will be carried out in 2020. Digital simulation has been proved to be an effective and efficient means for plan
Externí odkaz:
https://doaj.org/article/066d206630bb4560b08291d8f0832437
Publikováno v:
Biogeosciences, Vol 14, Pp 3083-3095 (2017)
Latitudinal and altitudinal gradients can be utilized to forecast the impact of climate change on forests. To improve the understanding of how these gradients impact forest dynamics, we tested two hypotheses: (1) the change of the tree growth–cl
Externí odkaz:
https://doaj.org/article/1e5309302c2c4a52908ddd2e38ba9d58
Publikováno v:
Fuzzy Sets and Systems. 440:77-89
In order to facilitate the representation of fuzzy relation matrix (FRM) models, a new system identification technique is proposed in this work to recognize the architecture and parameters of FRM models based on the semi-tensor product (STP) operatio
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