Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Duo Jia"'
Autor:
Duo Jia, Cangjiao Wang, Christopher R. Hakkenberg, Izaya Numata, Andrew J. Elmore, Mark A. Cochrane
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe Global Ecosystem Dynamics Investigation (GEDI) is expected to revolutionize the quantification of aboveground carbon at continental scales, through its unprecedented dense vertical observations of vegetation structure. As its primary task
Externí odkaz:
https://doaj.org/article/f2eed9032a5f476eb4d29dc55f8f9c0d
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1535 (2023)
The leaf area index (LAI) is a vital parameter for quantifying the material and energy exchange between terrestrial ecosystems and the atmosphere. The Global Ecosystem Dynamics Investigation (GEDI), with its mission to produce a near-global map of fo
Externí odkaz:
https://doaj.org/article/c6b5820ac18d455aa484dff72893708b
Publikováno v:
IEEE Access, Vol 8, Pp 92552-92564 (2020)
Information content is an important criterion for many image processing algorithms such as band selection and image fusion. Usually, information content is quantified by using information entropy (i.e., Shannon entropy); however, this is not a suitab
Externí odkaz:
https://doaj.org/article/35644258789949a69da3b2338ef6e9a2
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract Time series remote sensing image is an important resource for dynamic monitoring of resources and environment, and its abundant time spectrum information can be used to characterize the dynamic change of vegetation coverage. This paper propo
Externí odkaz:
https://doaj.org/article/eb901ca23b784493b0cb25d57006c083
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Aimed at the problem of occasional congestion control, the cusp catastrophe theory is used to establish the catastrophe model of the urban road system under occasional congestion, finding breakpoints and analyzing stability after urban road system ca
Externí odkaz:
https://doaj.org/article/19292cd5bef64e4e9b57ea09c03523d8
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 645 (2021)
Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the trade-off between the spatial and temporal resolution of satellite sensors, and to generate satellite images with high spatial and high temporal resolutions.
Externí odkaz:
https://doaj.org/article/7884244382e04f2992c0f7c9049597ec
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 286 (2021)
The vulnerability of vegetation ecosystems and hydrological systems in high-altitude areas makes their phenology more sensitive and their response to climate change more intense. The Qilian Mountains, an important geographic unit located in the north
Externí odkaz:
https://doaj.org/article/c17bf4deb7a6464e96ffe657e37d61da
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 698 (2020)
Spatiotemporal fusion is considered a feasible and cost-effective way to solve the trade-off between the spatial and temporal resolution of satellite sensors. Recently proposed learning-based spatiotemporal fusion methods can address the prediction o
Externí odkaz:
https://doaj.org/article/7a508d8a7d5f44b48b2f12935cf61229
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 301 (2019)
Simultaneously considering the spatial and temporal processes is essential for land cover simulation models. A cellular automaton (CA) usually simulates the spatial conversion of land cover through post-classification comparisons between the beginnin
Externí odkaz:
https://doaj.org/article/406c705aed754d32a0f947c2a1cf1f61
Autor:
Yang, Xinya, Yan, Ruixiao, Li, Suqi, Li, Fei, Yang, Chaozhi, Zhang, Huaiwen, Lyu, Hongyi, Liu, Tairan, Zhou, Ling, Li, Wentao, Duo, Jia, Li, Ronghua, Yao, Yiqing
Publikováno v:
In Journal of Environmental Chemical Engineering August 2024 12(4)