يعرض 1 - 7 نتائج من 7 نتيجة بحث عن '"PM 2.5 estimation"', وقت الاستعلام: 0.35s تنقيح النتائج
  1. 1
    Academic Journal
    Estimation of PM2.5 Using Multi-Angle Polarized TOA Reflectance Data from the GF-5B Satellite

    المؤلفون: Ruijie Zhang, Hui Chen, Ruizhi Chen, Chunyan Zhou, Qing Li, Huizhen Xie, Zhongting Wang

    المصدر: Remote Sensing ; Volume 16 ; Issue 21 ; Pages: 3944

    مصطلحات موضوعية: directional polarimetric camera (DPC), Gaofen 5B (GF-5B), PM 2.5 estimation, machine learning, TOA reflectance

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Atmospheric Remote Sensing; https://dx.doi.org/10.3390/rs16213944

    الاتاحة: https://doi.org/10.3390/rs16213944

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  2. 2
    Academic Journal
    PM 2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network

    المؤلفون: Junwei Wang, Kun Gao, Xiuqing Hu, Xiaodian Zhang, Hong Wang, Zibo Hu, Zhijia Yang, Peng Zhang

    المصدر: Remote Sensing, Vol 15, Iss 4905, p 4905 (2023)

    مصطلحات موضوعية: satellite remote sensing, PM 2.5 estimation, nighttime, infrared, deep learning, Science

    Relation: https://www.mdpi.com/2072-4292/15/20/4905; https://doaj.org/toc/2072-4292; https://doaj.org/article/ed03cf983be14413b732cfd057d110b4

    الاتاحة: https://doi.org/10.3390/rs15204905
    https://doaj.org/article/ed03cf983be14413b732cfd057d110b4

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  3. 3
    Academic Journal
    Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model

    المؤلفون: Yu Feng, Shurui Fan, Kewen Xia, Li Wang

    المصدر: Remote Sensing; Volume 14; Issue 11; Pages: 2714

    مصطلحات موضوعية: PM 2.5 estimation, hybrid learning model, top-of-atmosphere reflectance, Beijing–Tianjin–Hebei region

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Environmental Remote Sensing; https://dx.doi.org/10.3390/rs14112714

    الاتاحة: https://doi.org/10.3390/rs14112714

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  4. 4
    Academic Journal
    Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models

    المؤلفون: Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan

    المصدر: Remote Sensing; Volume 13; Issue 14; Pages: 2779

    مصطلحات موضوعية: AOT, fine mode aerosol, Himawari-8, PM 2.5 estimation

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Urban Remote Sensing; https://dx.doi.org/10.3390/rs13142779

    الاتاحة: https://doi.org/10.3390/rs13142779

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  5. 5
    Academic Journal
    Superior PM 2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models

    المؤلفون: Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan

    المصدر: Remote Sensing, Vol 13, Iss 2779, p 2779 (2021)

    مصطلحات موضوعية: AOT, fine mode aerosol, Himawari-8, PM 2.5 estimation, Science

    Relation: https://www.mdpi.com/2072-4292/13/14/2779; https://doaj.org/toc/2072-4292; https://doaj.org/article/4b7f98bc38804257b705148598289f9c

    الاتاحة: https://doi.org/10.3390/rs13142779
    https://doaj.org/article/4b7f98bc38804257b705148598289f9c

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  6. 6
    Academic Journal
    Estimation of Regional Ground-Level PM 2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model

    المؤلفون: Yu Feng, Shurui Fan, Kewen Xia, Li Wang

    المصدر: Remote Sensing, Vol 14, Iss 2714, p 2714 (2022)

    مصطلحات موضوعية: PM 2.5 estimation, hybrid learning model, top-of-atmosphere reflectance, Beijing–Tianjin–Hebei region, Science, envir, geo

    Relation: https://doi.org/10.3390/rs14112714

    الاتاحة: https://doi.org/10.3390/rs14112714

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  7. 7
    Academic Journal
    Superior PM 2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models

    المؤلفون: Zhou Zang, Dan Li, Yushan Guo, Wenzhong Shi, Xing Yan

    المصدر: Remote Sensing, Vol 13, Iss 2779, p 2779 (2021)

    مصطلحات موضوعية: AOT, fine mode aerosol, Himawari-8, PM 2.5 estimation, Science, geo, envir

    Relation: https://doi.org/10.3390/rs13142779

    الاتاحة: https://doi.org/10.3390/rs13142779

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