Zobrazeno 1 - 10
of 560
pro vyhledávání: '"Ni-Bin Chang"'
Publikováno v:
Ecological Indicators, Vol 142, Iss , Pp 109237- (2022)
Environmental, social, and economic sustainability patterns interact in various dimensions of an urban environment. Exacerbated population growth triggers an emphasis on better resource management strategies addressing the balance of supply and deman
Externí odkaz:
https://doaj.org/article/716decba999c4c02b507f623ec16fd3d
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 102991- (2022)
Traditional supervised classifications for remote sensing-based water quality monitoring count on a set of classifiers to retrieve features and improve their prediction accuracies based on ground truth samples. However, many existing feature extracti
Externí odkaz:
https://doaj.org/article/c29c84ff69de4504b3e1629728de2d67
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3345-3360 (2021)
Current multimodal learning in smart feature extraction and classification has reshaped the landscape of remote sensing. The recent developments in smart feature extraction mainly rely on different machine learning and data mining algorithms as power
Externí odkaz:
https://doaj.org/article/1a7560473eba4620a7f8b5422ff91a72
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Abstract Ensuring urban areas have access to clean drinking water, safe food supply, and uncontaminated water bodies is essential to the good health of millions of urban residents. This paper presents the functionality of Iron Filings-based Green Env
Externí odkaz:
https://doaj.org/article/45355db9eabf4c48909c213fbae95b84
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102427- (2021)
Changes of biophysical and biochemical features in canopy cover over space and time can be used to elucidate watershed resilience to climate change or extreme weather. Geospatial technologies such as satellite remote sensing are helpful to identify s
Externí odkaz:
https://doaj.org/article/c459c666071d4087813c8b840ca06c99
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102366- (2021)
Satellite and ground‐based remote sensing images, as well as reanalysis data, are widely used to measure and/or model aerosol properties of Earth's atmosphere. However, none of these data sources are perfect: satellite data suffer from various sour
Externí odkaz:
https://doaj.org/article/41422db45f8449a7b3cbf5c43bc644c8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4044-4059 (2020)
The improvement of the spatial and temporal resolution of reflectance data products has been challenging due to the diversity of data sources and availability of many data merging and fusion algorithms. In the algorithmic domain, methods for data mer
Externí odkaz:
https://doaj.org/article/0896f25bc2f84f5c87e255aefb91a564
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0dea6fbef01a3c198ab64eec5607318
https://doi.org/10.1109/tsmc.2023.3250620
https://doi.org/10.1109/tsmc.2023.3250620
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 193:45-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48d1e2ea2fec9b1a6d1501b5cd830664
https://doi.org/10.1016/j.isprsjprs.2022.09.001
https://doi.org/10.1016/j.isprsjprs.2022.09.001
Autor:
Kaixu Bai, Ke Li, Liuqing Shao, Xinran Li, Chaoshun Liu, Zhengqiang Li, Mingliang Ma, Di Han, Yibing Sun, Zhe Zheng, Ruijie Li, Ni-Bin Chang, Jianping Guo
Publikováno v:
Earth System Science Data Discussions; 1/5/2024, p1-29, 29p