"Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate ..."

Leonardo Laipelt et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12071108

access: open

type: Journal Article

metadata version: 2022-08-16

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/LaipeltRFKKRN20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/LaipeltRFKKRN20
Leonardo Laipelt, Anderson L. Ruhoff, Ayan Santos Fleischmann, Rafael Henrique Bloedow Kayser, Elisa de Mello Kich, Humberto Ribeiro da Rocha, Christopher M. U. Neale:
Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil. Remote. Sens. 12(7): 1108 (2020)

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.