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Работы, на которые ссылается эта работа

Работ: 68

Работа: Extraction of Cotton Information with Optimized Phenology-Based Features from Sentinel-2 Images

  1. Random Forests

    Leo Breiman

    Статья2001Цитирований: 67
    ABI

  2. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    Статья1979Цитирований: 19
    ABI

  3. Google Earth Engine: Planetary-scale geospatial analysis for everyone

    Noel Gorelick, M. Hancher, Mike Dixon +3

    Статья2017Цитирований: 14
    ABI

  4. The Shuttle Radar Topography Mission

    T. G. Farr, P. A. Rosen, E.R. Caro +15

    Статья2007Цитирований: 11
    ABI

  5. Toward Sequencing Cotton (<i>Gossypium</i>) Genomes: Figure 1.

    Z. Jeffrey Chen, Brian E. Scheffler, Elizabeth S. Dennis +31

    ДругоеResearch in Cotton CultivationPLANT PHYSIOLOGY2007Цитирований: 9
    ABI

  6. High-resolution mapping of global surface water and its long-term changes

    Jean‐François Pekel, Andrew Cottam, Noel Gorelick +1

    Статья2016Цитирований: 7
    ABI

  7. Cotton Production and Uses

    Shakeel Ahmad, Mirza Hasanuzzaman

    Книга2020Цитирований: 6
    ABI

  8. Global Consequences of Land Use

    Jonathan A. Foley, Ruth DeFries, Gregory P. Asner +16

    Обзорная статья2005Цитирований: 5
    ABI

  9. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

    Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari +3

    Статья2020Цитирований: 4
    ABI

  10. Object-based crop identification using multiple vegetation indices, textural features and crop phenology

    José M. Peña, Moffatt K. Ngugi, Richard E. Plant +1

    Статья2011Цитирований: 3
    ABI

  11. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

    Jin Chen, P. Jönsson, Masayuki Tamura +3

    Статья2004Цитирований: 3
    ABI

  12. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

    Jinwei Dong, Xiangming Xiao, Michael A. Menarguez +5

    Статья2016Цитирований: 3
    ABI

  13. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019

    Jie Yang, Xin Huang

    Статья2021Цитирований: 3
    ABI

  14. Remote sensing for agricultural applications: A meta-review

    Marie Weiss, Frédéric Jacob, Grégory Duveiller

    Статья2019Цитирований: 2
    ABI

  15. A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

    Gohar Ghazaryan, Olena Dubovyk, Fabian Löw +4

    Статья2018Цитирований: 2
    ABI

  16. Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series

    Chao Sun, Jialin Li, Luodan Cao +3

    Статья2020Цитирований: 2
    ABI

  17. Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

    Pierre Defourny, Sophie Bontemps, Nicolas Bellemans +26

    Статья2018Цитирований: 2
    ABI

  18. Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+

    Hongmei Zhao, Xiaoling Chen

    Статья2005Цитирований: 2
    ABI

  19. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

    Claire G. Boryan, Zhengwei Yang, Rick Mueller +1

    Статья2011Цитирований: 2
    ABI

  20. Без названия

    ДругоеЦитирований: 1
    ABI

  21. Без названия

    ДругоеЦитирований: 1
    ABI

  22. Без названия

    ДругоеЦитирований: 1
    ABI

  23. Без названия

    ДругоеЦитирований: 1
    ABI

  24. Без названия

    ДругоеЦитирований: 1
    ABI

  25. Без названия

    ДругоеЦитирований: 1
    ABI