Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Dongli Wu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7436-7447 (2024)
Weather radar holds the capability to monitor the extensive migration of bird and insect species. In particular, polarimetric weather radar can enhance aerial ecological monitoring by quantifying target shape through the measurement of polarization m
Externí odkaz:
https://doaj.org/article/3385461843e240f3a73f3824cf079a4d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7179-7192 (2024)
Ground clutter poses a significant challenge to the accuracy of weather radar products, especially for aeroecology monitoring. Operational weather radar commonly employs a fixed coherent pulse integration (CPI) for clutter suppression. However, the p
Externí odkaz:
https://doaj.org/article/d981dac649e44a99b75299c4cd9079f1
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1051 (2024)
Hog insurance and rural environmental protection are complementary to each other. Studying the environmental effects of hog insurance is imperative for safeguarding food safety and promoting the long-term development of the agricultural insurance ind
Externí odkaz:
https://doaj.org/article/2c4eb01e9e3c4bd8924634b10906f029
Autor:
Xinhua Qiao, Lu Kang, Chang Shi, Aojun Ye, Dongli Wu, Yuyunfei Huang, Minghao Deng, Jiarui Wang, Yuzheng Zhao, Chang Chen
Publikováno v:
Stress Biology, Vol 3, Iss 1, Pp 1-14 (2023)
Abstract Fasting is a popular dietary strategy because it grants numerous advantages, and redox regulation is one mechanism involved. However, the precise redox changes with respect to the redox species, organelles and tissues remain unclear, which h
Externí odkaz:
https://doaj.org/article/d94685288576450b93e6f648bf20391e
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar
Autor:
Xu Shi, Cheng Hu, Joshua Soderholm, Jason Chapman, Huafeng Mao, Kai Cui, Zhijun Ma, Dongli Wu, Richard A. Fuller
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 2, Pp 169-181 (2023)
Abstract Each year, billions of birds migrate across the globe, and interpretation of weather radar signals is increasingly being used to document the spatial and temporal migration patterns in Europe and America. Such approaches are yet to be applie
Externí odkaz:
https://doaj.org/article/319d6d42dbac4f48b955835902a770b7
Publikováno v:
Agriculture, Vol 13, Iss 10, p 1952 (2023)
The problem of high grain production costs, which is not conducive to sustainable agricultural development and food security, is highlighted in the context of China’s “large country and small household farmers”. Reducing the grain production co
Externí odkaz:
https://doaj.org/article/0252ae40f5ec4191a0cf9446bd2921ca
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4809 (2023)
Weather radar plays an important role in monitoring aerial animal migration, providing a stable data source for biological studies with large-scale coverage and consecutive-time samples. The accurate estimation of bird density from weather radar echo
Externí odkaz:
https://doaj.org/article/89790365287b493a9f967bb7baa3313a
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Agriculture has become a main source of greenhouse gas emissions globally, so limiting agricultural carbon emissions is an important part of achieving carbon neutrality in China. The reduction of agricultural carbon emissions needs the support of gre
Externí odkaz:
https://doaj.org/article/4514a8ad528c4feba010c8506f92310a
Publikováno v:
Agriculture, Vol 13, Iss 9, p 1851 (2023)
Promoting farmers’ participation in rural industrial integration and driving farmers’ agricultural production with cooperatives and agribusinesses are conducive to realizing cost saving, efficiency, and green production and guaranteeing food secu
Externí odkaz:
https://doaj.org/article/833cf612261441c6b24345808633af39
Publikováno v:
Agronomy, Vol 13, Iss 8, p 2040 (2023)
This study addresses the problem of restricted ability for large-scale monitoring due to the limited cruising time of unmanned aerial vehicles (UAV) by identifying an optimal leaf ChlorophyII content (LCC) inversion machine learning model at differen
Externí odkaz:
https://doaj.org/article/3fee885c04094a4c8adf8f08a387971d