Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Juanle, Wang"'
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
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
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
Autor:
Faith Ka Shun Chan, Yong-Guan Zhu, Jiayu Wang, Jiannan Chen, Matthew F. Johnson, Gang Li, Wei-Qiang Chen, Lei Wang, Pengfei Li, Juanle Wang
Publikováno v:
Cell Reports Sustainability, Vol 1, Iss 2, Pp 100013- (2024)
Droughts and floods in 2022 and 2023 have compounded stress on Chinese food security. China’s northeast region is a major grain-producing powerhouse, but recent climatic extremes combined with EI Niño effects have exposed vulnerabilities in its ag
Externí odkaz:
https://doaj.org/article/70cf713e5a074cef878e9dadd3736bb5
Publikováno v:
Big Earth Data, Vol 7, Iss 3, Pp 886-903 (2023)
ABSTRACTBig Earth Data refers to the multidimensional integration and association of scientific data, including geography, resources, environment, ecology, and biology. An effective data classification system and label management strategy are importa
Externí odkaz:
https://doaj.org/article/295ed255a3914e4e89af2705b8c9b8fd