Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Juanle Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Wind speed prediction is crucial for precisely wind power forecasting and reduced maintenance costs. Highland regions, which possess a considerable wind potential, present complex meteorological conditions, making wind speed prediction chall
Externí odkaz:
https://doaj.org/article/3f8c680630e448f6b6fd4c400d21e591
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112576- (2024)
The Maritime Silk Road presents not only great opportunities for development but also enormous challenges to marine ecological security. While, there lacks a systematic assessment of the state of marine ecological security at the regional multi-count
Externí odkaz:
https://doaj.org/article/e1bd555ce4774834b97bdd717b8ef04e
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36862- (2024)
Massive amounts of data from social media possess the potential to rapidly identify the primary issues of concern in emergency disaster management. In summer 2023, Super Typhoon Doksuri which was an exceptionally special typhoon disaster that caused
Externí odkaz:
https://doaj.org/article/f63bdcf4bd8149d2a70cd7f436165c97
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Mapping dynamically distributed livestock in the vast steppe area based on statistical data collected by administrative units is very difficult as it is limited by the quality of statistical data and local geographical environment factors. W
Externí odkaz:
https://doaj.org/article/8b1734ef0f234ecbb9453dbc1ce19795
Autor:
Meng Wang, Juanle Wang
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The uncontrolled proliferation of natural roads in arid regions has exacerbated regional land degradation and desertification, presenting substantial challenges to their accurate mapping owing to their dynamic and obscure features. Moreover, the high
Externí odkaz:
https://doaj.org/article/6d9a0bdafd1c470e96c7fceb32a0e5cb
A multi-source data fusion method for land cover production: a case study of the East European Plain
Autor:
Kai Li, Juanle Wang
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTLarge-area high-precision land cover mapping faces challenges such as a lack of uniform classification systems and the inability to compare different products. The current use of deep learning methods in land cover data product generation pro
Externí odkaz:
https://doaj.org/article/28f21161ac8f4542baa1e1d728ea1ba0
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe China-Pakistan Transportation Corridor (CPTC) has long faced great challenges in natural disasters and sustainable development. This study develops a localised indicator evaluation system for the CPTC sustainable development. It contains
Externí odkaz:
https://doaj.org/article/a68dee53785547f5b7b591886200d932
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4597-4600 (2023)
Externí odkaz:
https://doaj.org/article/959cf9597d5445a3a0bc4b252f8d2205
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2341-2355 (2023)
According to the United Nations Sustainable Development Goals (SDG 15.3), frequent sand and dust storms (SDSs) in the spring are a long-term challenge to the prevention and control of land degradation on the Mongolian plateau. In this study, MODIS re
Externí odkaz:
https://doaj.org/article/1e20a7347b40480f92cb6d37b61bfc5f
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4048 (2024)
Acquiring the spatiotemporal patterns of cropland disturbance is of great significance for regional sustainable agricultural development and environmental protection. However, effective monitoring of cropland disturbances remains a challenge owing to
Externí odkaz:
https://doaj.org/article/3e763a316c73478e9c9630248c28eeca