يعرض 1 - 10 نتائج من 49 نتيجة بحث عن '"Qinghan Dong"', وقت الاستعلام: 1.04s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Crop Type Mapping and Winter Wheat Yield Prediction Utilizing Sentinel-2: A Case Study from Upper Thracian Lowland, Bulgaria

    المؤلفون: Ilina Kamenova, Milen Chanev, Petar Dimitrov, Lachezar Filchev, Bogdan Bonchev, Liang Zhu, Qinghan Dong

    المصدر: Remote Sensing, Vol 16, Iss 7, p 1144 (2024)

    مصطلحات موضوعية: Sentinel-2, crop mapping, machine learning, yield prediction, vegetation indices, winter wheat, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/16/7/1144; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/9acb1173471c4b3894e8df50869696b0

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  2. 2
    دورية أكاديمية
    Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s)

    المؤلفون: Xiaoxuan Liu, Le Yu, Qinghan Dong, Dailiang Peng, Wenbin Wu, Qiangyi Yu, Yuqi Cheng, Yidi Xu, Xiaomeng Huang, Zheng Zhou, Dong Wang, Lei Fang, Peng Gong

    المصدر: PeerJ, Vol 8, p e9835 (2020)

    مصطلحات موضوعية: Land-use change, Cropland area, Heterogeneity, Northeast China, Medicine, Biology (General), QH301-705.5

    وصف الملف: electronic resource

    Relation: https://peerj.com/articles/9835.pdf; https://peerj.com/articles/9835/; https://doaj.org/toc/2167-8359

    URL الوصول: https://doaj.org/article/1e5dceadc59f42758b179ef795755827

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  3. 3
    دورية أكاديمية
    Crop Mapping with Combined Use of European and Chinese Satellite Data

    المؤلفون: Jinlong Fan, Pierre Defourny, Xiaoyu Zhang, Qinghan Dong, Limin Wang, Zhihao Qin, Mathilde De Vroey, Chunliang Zhao

    المصدر: Remote Sensing, Vol 13, Iss 22, p 4641 (2021)

    مصطلحات موضوعية: crop mapping, classification, GF, Sentinel, Sent2Agri, Dragon Program, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/13/22/4641; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/8683e9f60a9c4bfa9755897279a855ae

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  4. 4
    دورية أكاديمية
    Sub-Pixel Crop Type Classification Using PROBA-V 100 m NDVI Time Series and Reference Data from Sentinel-2 Classifications

    المؤلفون: Petar Dimitrov, Qinghan Dong, Herman Eerens, Alexander Gikov, Lachezar Filchev, Eugenia Roumenina, Georgi Jelev

    المصدر: Remote Sensing, Vol 11, Iss 11, p 1370 (2019)

    مصطلحات موضوعية: crop mapping, Sentinel-2, sub-pixel classification, area fraction images, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/11/11/1370; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/1f3b67b632414ad2a802ae5c310735d2

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  5. 5
    دورية أكاديمية
    Crop Classification Based on a Novel Feature Filtering and Enhancement Method

    المؤلفون: Limin Wang, Qinghan Dong, Lingbo Yang, Jianmeng Gao, Jia Liu

    المصدر: Remote Sensing, Vol 11, Iss 4, p 455 (2019)

    مصطلحات موضوعية: Feature enhancement, feature filtering, probability density function, crop classification, supervised classification method, random forest, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/11/4/455; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/906ca918f44f49a3aed66886e100a30a

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  6. 6
    دورية أكاديمية
    Estimating Crop Area at County Level on the North China Plain with an Indirect Sampling of Segments and an Adapted Regression Estimator

    المؤلفون: Qinghan Dong, Jia Liu, Limin Wang, Zhongxin Chen, Javier Gallego

    المصدر: Sensors, Vol 17, Iss 11, p 2638 (2017)

    مصطلحات موضوعية: crop area, remote sensing image classification, area frame sampling, stratification, regression estimator, Chemical technology, TP1-1185

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1424-8220/17/11/2638; https://doaj.org/toc/1424-8220

    URL الوصول: https://doaj.org/article/ab65573533df4f1f9096f2674f0b82b4

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  7. 7
    دورية أكاديمية
    A field-based crop and land use map over Sanjiang plain in Heilongjiang derived from multi-temporal imagery of Landsat7-ETM+

    المؤلفون: Herman Eerens, Qinghan Dong, Pierre Ozer, Xiufen Li

    المصدر: Cybergeo (2003)

    مصطلحات موضوعية: segmentation, post-classification, per-field filter, CGMS, maximum likelihood classification, Geography (General), G1-922

    وصف الملف: electronic resource

    Relation: https://journals.openedition.org/cybergeo/4020; https://doaj.org/toc/1278-3366

    URL الوصول: https://doaj.org/article/ad99d314d7304f8a917b266dc99d0251

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  8. 8
    مؤتمر
    Comparative study on crop recognition of LandSat-OLI and RapidEye data

    المؤلفون: Jia, Liu, Limin, Wang, Baomin, Yao, Fugang, Yang, Lingbo, Yang, Qinghan, Dong

    المصدر: 2017 6th International Conference on Agro-Geoinformatics Agro-Geoinformatics, 2017 6th International Conference on. :1-6 Aug, 2017

    Relation: 2017 6th International Conference on Agro-Geoinformatics

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  9. 9
    مؤتمر
    Building an operational system for crop monitoring and yield forecasting in Morocco

    المؤلفون: de Wit, Allard, Hoek, Steven, Ballaghi, Riad, El Hairech, Tarik, Qinghan, Dong

    المصدر: 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics) Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on. :466-469 Aug, 2013

    Relation: 2013 Second International Conference on Agro-Geoinformatics

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  10. 10
    Challenges and opportunities in remote sensing-based crop monitoring: a review

    المؤلفون: Bingfang Wu, Miao Zhang, Hongwei Zeng, Fuyou Tian, Andries B Potgieter, Xingli Qin, Nana Yan, Sheng Chang, Yan Zhao, Qinghan Dong, Vijendra Boken, Dmitry Plotnikov, Huadong Guo, Fangming Wu, Hang Zhao, Bart Deronde, Laurent Tits, Evgeny Loupian

    المصدر: National Science Review. 10

    مصطلحات موضوعية: Multidisciplinary

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::df7f4981d102c2fa1269cfda9fa91e17
    https://doi.org/10.1093/nsr/nwac290

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