Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Qianjiao Wu"'
Autor:
Huaming Xie, Qianjiao Wu, Ting Zhang, Zhende Teng, Hao Huang, Ying Shu, Shaoru Feng, Jing Lou
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In the complex planting area with scattered parcels, combining the parcel vector data with remote sensing images to extract the winter wheat planting information can make up for the deficiency of the classification from remote sensing images simply.
Externí odkaz:
https://doaj.org/article/82090f78b0ec43268d87691ead79225e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 9, p 510 (2020)
This paper proposes a flow-path-network-based (FPN-based) algorithm, constructed from a square-grid digital elevation model (DEM) to improve the simulation of the flow path curvature (C). First, the flow-path network model was utilized to obtain an F
Externí odkaz:
https://doaj.org/article/91cc7b261506477c98264057b95ec91b
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 1, p 18 (2017)
Landslides, as geological hazards, cause significant casualties and economic losses. Therefore, it is necessary to identify areas prone to landslides for prevention work. This paper proposes an improved information value model based on gray clusterin
Externí odkaz:
https://doaj.org/article/f6b72209a51c492381948da98e72d90c
Autor:
Ting Zhang, Qian Gao, Huaming Xie, Qianjiao Wu, Yuwen Yu, Chukun Zhou, Zixian Chen, Hanqing Hu
Publikováno v:
Sustainability; Volume 14; Issue 21; Pages: 14080
The Chaohu Lake Basin (CLB) is the main flow area of the Yangtze River–Huaihe River Water Transfer Project in Central China. It is important to quantitatively evaluate the water resources in the CLB and predict their response to future climate chan
Publikováno v:
Sustainability; Volume 14; Issue 12; Pages: 7029
This study examined the influence of the Yangtze River-Huaihe River Water Transfer Project (YHWTP) on the transportation accessibility of bulk cargo in 16 cities of Anhui Province based on modern transportation infrastructure. We also discussed the c
This paper proposes an improved algorithm for simulating the surface flow dynamics based on the flow-path network model. This algorithm utilizes the parallel-multi-point method to extract the critical points and the D8 algorithm to retrieve the drain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff8b24232065b6048956bb9b8e55a141
https://gmd.copernicus.org/preprints/gmd-2022-92/
https://gmd.copernicus.org/preprints/gmd-2022-92/
Publikováno v:
Environmental Modelling & Software. 114:64-74
An effective parallelization algorithm based on the compute-unified-device-architecture (CUDA) is developed for DEM generalization that is critical to multi-scale terrain analysis. It aims to efficiently retrieve the critical points for generating co
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 9
Issue 9
ISPRS International Journal of Geo-Information, Vol 9, Iss 510, p 510 (2020)
Volume 9
Issue 9
ISPRS International Journal of Geo-Information, Vol 9, Iss 510, p 510 (2020)
This paper proposes a flow-path-network-based (FPN-based) algorithm, constructed from a square-grid digital elevation model (DEM) to improve the simulation of the flow path curvature (C). First, the flow-path network model was utilized to obtain an F