Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 12 | Copyright
Geosci. Model Dev., 10, 4347-4365, 2017
https://doi.org/10.5194/gmd-10-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model evaluation paper 30 Nov 2017

Model evaluation paper | 30 Nov 2017

A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China

Chongyang Wang et al.
Download
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Chongyang Wang on behalf of the Authors (05 Sep 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Oct 2017) by Bethanna Jackson
RR by Otavio Montanher (17 Oct 2017)
ED: Publish as is (17 Oct 2017) by Bethanna Jackson
Publications Copernicus
Download
Short summary
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions is still under research. We studied many previous different satellite sensors models and finally developed a new model.
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages....
Citation
Share