Identification and Monitoring of Irrigated Areas in Arid Are…

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12
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2024
Year
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Work Details
  • DOI 10.3390/agriculture14101693
  • OpenAlex ID W4402928362
  • Type Article
  • Language EN
  • Published 27 Sep 2024
  • Volume 14 (10)
  • Pages 1693
  • Source Agriculture
  • Publisher Multidisciplinary Digital Publishin…
  • FWCI 3.30
  • Countries 1
  • Institutions 1
  • Added 28 Sep 2024
  • Updated 24 Sep 2026
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Identification and Monitoring of Irrigated Areas in Arid Areas Based on Sentinel-2 Time-Series Data and a Machine Learning Algorithm

Article 2024 EN Gold

Accurate monitoring of irrigation areas is of great significance to ensure national food security and rational utilization of water resources. The low resolution of the Moderate Resolution Imaging Spectroradiometer and Landsat data makes the monitoring accuracy insufficient for actual demand. Thus, this paper proposes a method of extracting the irrigated area in arid regions based on Sentinel-2 lo…

12

Citations

28

References

7

Authors

3.30

FWCI

Citations by Year
Last 2 years
Topics
Keywords
UN Sustainable Development Goals
3 SDGs
Authors & Affiliations
7 authors
#AuthorInstitutionsORCID
1 Lixiran Yu Xinjiang Agricultural Universi… (CN) —
2 Hong Xie — —
3 Yan Xu —
4 Qiao Li Xinjiang Agricultural Universi… (CN)
5 Youwei Jiang Xinjiang Agricultural Universi… (CN)
6 Hongfei Tao Corresponding Xinjiang Agricultural Universi… (CN)
7 Mahemujiang Aihemaiti Xinjiang Agricultural Universi… (CN) —

Data: OpenAlex