Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022)
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThis study aims to reconstruct daily NDVI time series at the watershed scale using MODIS and Landsat-8/9 data to monitor the impact of drought on agricultural production. The authors propose an approach that integrates Savitzky-Golay filtering with the Variation-Based Spatiotemporal Data Fusion model to achieve this objective. Validation results in the study area demonstrate strong performance, indicating that the research design and experimental outcomes are robust and convincing. The study is suitable for publication with some revisions. Specific suggestions for improvement are as follows:
-
The current title does not align well with academic writing conventions. It should succinctly summarize the study’s objective, methodology, data sources, and study area.
-
Lines 41–42: There is no need to introduce NDVI, as it is a widely used index. Instead, a brief explanation of vegetation indices in agricultural monitoring would be more appropriate.
-
Lines 97–105: The conceptual overview of the study should not be placed in the introduction. The final part of the introduction should summarize existing research gaps and clearly state the objectives and scope of this study.
-
Figure 2: The base map of China's topography appears to be incorrect.
-
Since this study reconstructs NDVI time series using MODIS and Landsat-8/9 data, why was Sentinel-based LULC data included?
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThe reviewed article is titled "Enhanced Daily 30m NDVI Reconstruction of Cropland in the 2 Shiyang River Basin of 2022, Spatiotemporal Fusion of Multi-temporal MODIS and Landsat-8/9 Data"... As the title suggests, it addresses a methodology of fusion of low and high resolution data to obtain complete time series with the high spatial resolution and the higher temporal resolution of the low spatial resolution ones.
The attached file highlights more than 20 issues that require review or correction by the authors. The most significant is the inclusion of Figure 1 in the introductory section, when it actually belongs entirely in the Materials and Methods section. Other observations relate to the need to improve figures, which are very important in describing the methodology used.
Comments for author File: Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
