"Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval."

M. M. Nabi et al. (2023)

> Home

Details and statistics

DOI: 10.1109/JSTARS.2023.3287591

access: open

type: Journal Article

metadata version: 2023-07-21

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/staeors/NabiSLKG23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/staeors/NabiSLKG23
M. M. Nabi, Volkan Yusuf Senyurek, Fangni Lei, Mehmet Kurum, Ali Cafer Gürbüz:
Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5629-5644 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.