Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mingyong Zhu"'
Autor:
Yongzhu Xiong, Xiaofeng Zeng, Weiqian Lai, Jiawen Liao, Yankui Chen, Mingyong Zhu, Kekun Huang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7554-7576 (2024)
The location and number of individual fruit trees (IFTs) are critical for investigations on planting areas, fruit yield predictions, and smart orchard planning and management. These data are conventionally obtained through manual and statistical inve
Externí odkaz:
https://doaj.org/article/c540c945c3bc4b7292ca485ef85ce1bb
Autor:
Youcun Liu, Shuyue Yang, Lihong Meng, Tao Liu, Mingyong Zhu, Xiaolin Ou, Yongzhu Xiong, David Labat
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Water is the source of all life on Earth. Blue water and green water are important for water resource evaluation and are also essential for the efficient use of water resources. By constructing a SWAT model to simulate the spatiotemporal evolution of
Externí odkaz:
https://doaj.org/article/faeeb2f360614b67acdff93582af8677
Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning
Publikováno v:
Energies, Vol 15, Iss 8, p 2913 (2022)
Geothermal surface manifestations (GSMs) are direct clues towards hydrothermal activities of a geothermal system in the subsurface and significant indications for geothermal resource exploration. It is essential to recognize various GSMs for potentia
Externí odkaz:
https://doaj.org/article/cdc674d2a6224942be92e88ad34483c5
Publikováno v:
Heliyon, Vol 5, Iss 12, Pp e02985- (2019)
Soil erosion is an important environmental problem in the area of the upper and middle of the Yellow River (AUMYR), China, one of the most severe soil erosion areas in the world. It is significantly influences on the ecological security and sustainab
Externí odkaz:
https://doaj.org/article/e60a9650db1a4e33b50330544968aa39
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0143928 (2015)
Different proxies have been used to investigate Quaternary paleoclimate change. Here, we used weathering of calcium nodules in paleosols on China's Loess Plateau as a proxy for Quaternary paleoclimate changes to provide an alternative indicator of th
Externí odkaz:
https://doaj.org/article/5d6f42a248c249f9a48273af7ee351bd
Characteristics of Soil Erodibility in the Yinna Mountainous Area, Eastern Guangdong Province, China
Autor:
Mingyong Zhu, Wenming He, Youcun Liu, Zhiyun Chen, Zhicheng Dong, Changbai Zhu, Yankui Chen, Yongzhu Xiong
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 23; Pages: 15703
Soil erodibility research is of theoretical and practical significance to the prediction and prevention of regional soil erosion. At present, the study on soil erodibility in the lateritic red soil area of eastern Guangdong province is relatively lac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456ad431096a437f92e277b6ca0e5f80
Publikováno v:
Ecohydrology. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01f344c8033411f8bf075f83f3747f13
https://doi.org/10.1002/eco.2398
https://doi.org/10.1002/eco.2398
The coupling between land use/landscape pattern and water quality in river system varies across different spatial and temporal scales. It is important to understand the association between water quality and land use/landscape pattern across different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::add24474ac2971018a690568978e4c63
https://doi.org/10.21203/rs.3.rs-240854/v1
https://doi.org/10.21203/rs.3.rs-240854/v1
Publikováno v:
IGARSS
Deep learning (DL) has increasingly witnessed a lot of applications and advancements in remote sensing (RS). However, it remains unclear whether it can accurately detect historical buildings in RS imagery. Here we proposed a new deep transfer learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa54f8057a852d11709558729d1dfb54
https://doi.org/10.1109/igarss39084.2020.9323541
https://doi.org/10.1109/igarss39084.2020.9323541