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

  1. Random Forests

    Leo Breiman

    Мақола200167 иқтибос
    ABI

  2. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    Мақола197919 иқтибос
    ABI

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

    Noel Gorelick, M. Hancher, Mike Dixon +3

    Мақола201714 иқтибос
    ABI

  4. The Shuttle Radar Topography Mission

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

    Мақола200711 иқтибос
    ABI

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

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

    БошқаResearch in Cotton CultivationPLANT PHYSIOLOGY20079 иқтибос
    ABI

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

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

    Мақола20167 иқтибос
    ABI

  7. Cotton Production and Uses

    Shakeel Ahmad, Mirza Hasanuzzaman

    Китоб20206 иқтибос
    ABI

  8. Global Consequences of Land Use

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

    Шарҳ мақола20055 иқтибос
    ABI

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

    Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari +3

    Мақола20204 иқтибос
    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

    Мақола20113 иқтибос
    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

    Мақола20043 иқтибос
    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

    Мақола20163 иқтибос
    ABI

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

    Jie Yang, Xin Huang

    Мақола20213 иқтибос
    ABI

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

    Marie Weiss, Frédéric Jacob, Grégory Duveiller

    Мақола20192 иқтибос
    ABI

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

    Gohar Ghazaryan, Olena Dubovyk, Fabian Löw +4

    Мақола20182 иқтибос
    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

    Мақола20202 иқтибос
    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

    Мақола20182 иқтибос
    ABI

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

    Hongmei Zhao, Xiaoling Chen

    Мақола20052 иқтибос
    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

    Мақола20112 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI