Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Linyan Bai"'
Autor:
Linyan Bai, Xinjian Wang, Li Zhang, Jianzhong Feng, Jingjuan Liao, Bowei Chen, Penglong Wang, Xinyi Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The 2030 Agenda for Sustainable Development issued by the United Nations is an important foundation for countries to achieve common economic, social and environmental development. Important progress has been made in the evaluation of the Sus
Externí odkaz:
https://doaj.org/article/88dccfe12a97492496b09213a472657e
Autor:
Li Zhang, Jian Zuo, Bowei Chen, Jingjuan Liao, Min Yan, Linyan Bai, Dewayany Sutrisno, Mazlan Hashim, M. M. Abdullah Al Mamun
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTTarget 14 of the Sustainable Development Goals (SDG 14) depicts a better future regarding the capacity of coastal environments to cope with several developmental challenges. However, gaps in the data and indicators restrict the effective impl
Externí odkaz:
https://doaj.org/article/bdca36cadee24fc08dd8a1b5e963f9da
Autor:
Weiting Yuan, Linyan Bai, Xiangwei Gao, Kefa Zhou, Yue Gao, Xiaozhen Zhou, Ziyun Qiu, Yanfei Kou, Zhihong Lv, Dequan Zhao, Qing Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3224 (2024)
The ecological and environmental problems of arid zones have become an urgent global concern. Current research on ecological risk is based mainly on the dominant functions of land use, with a primary focus on land use landscape projections and less c
Externí odkaz:
https://doaj.org/article/d78fba4a1d3442f0970693be39ea19a9
Publikováno v:
Land, Vol 13, Iss 7, p 915 (2024)
Synthesizing bare soil pictures in regions with complex vegetation is challenging, which hinders the accuracy of predicting soil organic carbon (SOC) in specific areas. An SOC prediction model was developed in this study by integrating the convolutio
Externí odkaz:
https://doaj.org/article/d64c6a61739f43758768739875f9ca01
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-8 (2022)
Abstract Today, cloud storage services increased the popular for data storage in the cloud and retrieve from any location without any time limitations. One of the most important demands required in cloud is secured data transmission in un-trusted clo
Externí odkaz:
https://doaj.org/article/158aea8fba454abb8a0e5715806da8ed
Publikováno v:
Sensors, Vol 22, Iss 13, p 4854 (2022)
In recent years, ozone pollution has been increasing in some parts of the world. In this study, we used the Beijing–Tianjin–Tangshan (BJ-TJ-TS) urban agglomeration region as a case study and used satellite remotely sensed inversion data and hourl
Externí odkaz:
https://doaj.org/article/084906045dbe41e181f8cb5fdce740ff
Publikováno v:
Forests, Vol 12, Iss 10, p 1315 (2021)
Quantifying the phenological variations of Populus euphratica Olivier (P. euphratica) resulting from climate change is vital for desert ecosystems. There has previously been great progress in the influence of climate change on vegetation phenology, b
Externí odkaz:
https://doaj.org/article/b46d469c18b5405c932a35311215e626
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3911 (2021)
China is a large grain producer and consumer. Thus, obtaining information about the cropping intensity (CI) in cultivated land, as well as understanding the intensified utilization of cultivated land, is important to ensuring an increased grain produ
Externí odkaz:
https://doaj.org/article/b1e81a90d5e04c65a6af40ce042fc680
Publikováno v:
Sensors, Vol 20, Iss 16, p 4353 (2020)
Spatially location and working status of pollution sources are very important pieces of information for environment protection. Waste gas produced by fossil fuel consumption in the industry is mainly discharged to the atmosphere through a chimney. Th
Externí odkaz:
https://doaj.org/article/e44c27748eb148278d15fe7b95a7c783
Publikováno v:
Sensors, Vol 16, Iss 4, p 557 (2016)
Multiple cropping provides China with a very important system of intensive cultivation, and can effectively enhance the efficiency of farmland use while improving regional food production and security. A multiple cropping index (MCI), which represent
Externí odkaz:
https://doaj.org/article/d891c7ec7a3a4623894cbcabcd3dbc1a