"Using machine learning and trapezoidal model to derive All-weather ET from ..."

Pengyu Hao et al. (2021)

> Home

Details and statistics

DOI: 10.1109/AGRO-GEOINFORMATICS50104.2021.9530341

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/agro-geoinformatics/HaoDYGSZ21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/agro-geoinformatics/HaoDYGSZ21
Pengyu Hao, Liping Di, Eugene Yu, Liying Guo, Ziheng Sun, Haoteng Zhao:
Using machine learning and trapezoidal model to derive All-weather ET from Remote sensing Images and Meteorological Data. Agro-Geoinformatics 2021: 1-4

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.