Next Article in Journal
Potential of P-Band SAR Tomography in Forest Type Classification
Next Article in Special Issue
Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine
Previous Article in Journal
Quantitative Precipitation Estimates Using Machine Learning Approaches with Operational Dual-Polarization Radar Data
 
 
Article
Peer-Review Record

Evaluating the Near and Mid Infrared Bi-Spectral Space for Assessing Fire Severity and Comparison with the Differenced Normalized Burn Ratio

Remote Sens. 2021, 13(4), 695; https://doi.org/10.3390/rs13040695
by Max J. van Gerrevink * and Sander Veraverbeke
Reviewer 2: Anonymous
Remote Sens. 2021, 13(4), 695; https://doi.org/10.3390/rs13040695
Submission received: 26 January 2021 / Revised: 10 February 2021 / Accepted: 11 February 2021 / Published: 14 February 2021
(This article belongs to the Special Issue Remote Sensing of Burnt Area)

Round 1

Reviewer 1 Report

The elaborated evaluations for the assessment of the severity of the fire are interesting and promising.

The most significant limitation of the study is that the results are based on only two fires that took place in California. A study whose conclusions are based on only two extraordinary events can be considered rather as an initial study of the problem. The authors partially point out this fact in the article. I recommend that they emphasize this fact in the discussion and conclusions section of the article.

It is not clear from the article what impact on the use of the described techniques would change the character of the stand, especially the type of burning material, its geometry (especially height), stand density, etc. The authors should explain this fact in the article.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Sampling design for field measurements should be included in methods.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Back to TopTop