Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Eugene G. Yu"'
Autor:
Chen Zhang, Zhengwei Yang, Liping Di, Eugene G. Yu, Bei Zhang, Weiguo Han, Li Lin, Liying Guo
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) vegetation index Technology Type(s) remote sensing
Externí odkaz:
https://doaj.org/article/7d6eb74caf0d42a5ae85d144a8fa8de1
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 398-407 (2017)
Flood events and their impact on crops are extremely significant scientific research issues; however, flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change, which requires accurate assessm
Externí odkaz:
https://doaj.org/article/41281ee434764a8bbb8ec888bba564f2
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 408-423 (2017)
Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in agricultural a
Externí odkaz:
https://doaj.org/article/31a23cd035674fd480c6b549d36e03bb
Publikováno v:
2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::548fc5c3a902aef3bb46595634ab5b25
https://doi.org/10.1109/agro-geoinformatics55649.2022.9859073
https://doi.org/10.1109/agro-geoinformatics55649.2022.9859073
Autor:
Eugene G. Yu, Liping Di, Faisal Mueen Qamer, Haoteng Zhao, Zhiqi Yu, Li Lin, Chen Zhang, Sreten Cvejovic
Publikováno v:
2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f0e503c3be4f25d323450680671e60
https://doi.org/10.1109/agro-geoinformatics55649.2022.9858981
https://doi.org/10.1109/agro-geoinformatics55649.2022.9858981
Publikováno v:
Agro-Geoinformatics
Cyberinformatics tools have been extensively applied to aid decision support in agriculture. This paper presents an overview of cyberinformatics tools to support decision making for the National Agricultural Statistics Service (NASS) of the U.S. Depa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6478c933d994f877fd149fcaa9a97052
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530327
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530327
Publikováno v:
Environmental Modelling & Software. 113:29-41
As an important tool for air quality simulation, the Community Multiscale Air Quality (CMAQ) model is widely used in the environmental modeling community. However, setting up and running the CMAQ model could be challenging for many scientists, especi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d30f4db8f5c571f7114656ec51aed2
https://doi.org/10.1016/j.envsoft.2018.11.019
https://doi.org/10.1016/j.envsoft.2018.11.019
Autor:
Chen Zhang, Liping Di, Li Lin, Hui Li, Liying Guo, Zhengwei Yang, Eugene G. Yu, Yahui Di, Anna Yang
Publikováno v:
Agricultural Systems. 201:103462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee0bb78b59bdb57cf10dd166a87a0670
https://doi.org/10.1016/j.agsy.2022.103462
https://doi.org/10.1016/j.agsy.2022.103462
Autor:
Eugene G. Yu, Zhengwei Yang
Publikováno v:
Springer Remote Sensing/Photogrammetry ISBN: 9783030663865
Statistical approaches are traditionally used in approximating crop pattern and status monitoring which has limitations in timeliness and precision. Remote sensing has been increasingly adopted in monitoring crop pattern and status with the availabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddc55f78d18d1774726ebe30a962b90
https://doi.org/10.1007/978-3-030-66387-2_10
https://doi.org/10.1007/978-3-030-66387-2_10
Autor:
Liping Di, Eugene G. Yu
Publikováno v:
Urban Informatics ISBN: 9789811589829
Urban studies concern the evolution of spatial structure in cities, where information is often tied to location. The discovery of information is in a high-dimensional space based on spatial and temporal dimensions, where the spatial relationships of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdae60ce8fad66e237a9a6e4c5bd4f2b
https://doi.org/10.1007/978-981-15-8983-6_37
https://doi.org/10.1007/978-981-15-8983-6_37