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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245431"}

@article{bb250547,
        AUTHOR = "Chen, Z.Z. and Huang, M. and Zhu, D. and Altan, O.",
        TITLE = "Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future
Land Use Changes in Hokkaido, Japan",
        JOURNAL = RS,
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        NUMBER = "13",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245432"}

@article{bb250548,
        AUTHOR = "Zhao, Y. and Feng, J.Z. and Luo, L. and Bai, L. and Wan, H. and Ren, H.",
        TITLE = "Monitoring Cropping Intensity Dynamics across the North China Plain
from 1982 to 2018 Using GLASS LAI Products",
        JOURNAL = RS,
        VOLUME = "13",
        YEAR = "2021",
        NUMBER = "19",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245433"}

@article{bb250549,
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        TITLE = "Temporal Pattern Analysis of Cropland Phenology in Shandong Province
of China Based on Two Long-Sequence Remote Sensing Data",
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        NUMBER = "20",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245434"}

@article{bb250550,
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Multi-Source Data: A Case Study of Jinan, China",
        JOURNAL = IJGI,
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        NUMBER = "10",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245435"}

@article{bb250551,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245436"}

@article{bb250552,
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        TITLE = "Transferable Deep Learning from Time Series of Landsat Data for
National Land-Cover Mapping with Noisy Labels: A Case Study of China",
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        NUMBER = "21",
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@article{bb250553,
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        TITLE = "Identifying and Mapping the Responses of Ecosystem Services to Land
Use Change in Rapidly Urbanizing Regions:
A Case Study in Foshan City, China",
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        YEAR = "2021",
        NUMBER = "21",
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@article{bb250554,
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Vegetation Types in the Qinling Mountains, Central China",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928ch3.html#TT245439"}

@article{bb250555,
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@article{bb250556,
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@article{bb250557,
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        TITLE = "Spatiotemporal Variations in Satellite-Derived Vegetation
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@article{bb250558,
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2020 using Landsat dense time series stack",
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@article{bb250560,
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@article{bb250561,
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@article{bb250562,
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@article{bb250563,
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        TITLE = "Satellite-Based Evidences to Improve Cropland Productivity on the
High-Standard Farmland Project Regions in Henan Province, China",
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@article{bb250564,
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@inproceedings{bb250568,
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Geographical Information Census Of China",
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@inproceedings{bb250570,
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hyperspectral data: A case study in Sishili Bay, China",
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@inproceedings{bb250571,
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@inproceedings{bb250572,
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Mountains, China From Landsat Tm Image",
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@inproceedings{bb250573,
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For Er-hai Lake's Watershed In Dali Of China",
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@inproceedings{bb250576,
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@article{bb250598,
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        YEAR = "2019",
        NUMBER = "11",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928na2.html#TT245482"}

@article{bb250599,
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in the Central Valley, California",
        JOURNAL = RS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog928na2.html#TT245483"}

Last update:Jun 27, 2022 at 12:58:02