Manuscript Number: UCLIM-D-24-00697
手稿编号：UCLIM-D-24-00697
Greenspace coverage vs. enhanced vegetation index: Correlations with surface urban heat island intensity in different climate zones
绿地覆盖率与增强植被指数：与不同气候区地表城市热岛强度的相关性
Dear Dr. liu, 亲爱的刘医生：
Thank you for submitting your manuscript to Urban Climate.
感谢您将稿件提交给《城市气候》。
I have completed my evaluation of your manuscript. The reviewers recommend reconsideration of your manuscript following revision and modification. I invite you to resubmit your manuscript after addressing the comments below. Please resubmit your revised manuscript by Jul 16 2024 11:59:59:000PM.
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Urban Climate values your contribution and I look forward to receiving your revised manuscript.
城市气候重视您的贡献，我期待收到您的修改稿。
Kind regards, 亲切的问候，
Peter Marcotullio 彼得·马科图利奥
Editor-in-Chief 主编辑
Urban Climate 城市气候
Editor and Reviewer comments:
编辑和审稿人评论：
Reviewer 1: 审稿人1：
Vegetation holds great promise for mitigating elevated temperatures in urban areas, which is crucial for ensuring human well-being. However, the lack of robust indicators limits the effectiveness of urban greening solutions that require well-quantified targets. This study (#UCLIM-D-24-00697) explores the urban-rural difference in greenspace coverage as a means to understand and address the variation in urban heat island intensity across 233 Chinese cities spanning three climate zones. The study is straightforward and aligns well with the scope of the journal Urban Climate, presenting an adequate workload.
植被在缓解城市地区气温升高方面具有巨大前景，这对于确保人类福祉至关重要。然而，缺乏强有力的指标限制了需要明确量化目标的城市绿化解决方案的有效性。本研究 (#UCLIM-D-24-00697) 探讨了绿地覆盖率的城乡差异，以此作为了解和解决跨越三个气候区的 233 个中国城市的城市热岛强度变化的一种手段。该研究简单明了，与《城市气候》杂志的范围非常吻合，工作量充足。
However, I find the manuscript's quality is hindered by several issues, including a vague scientific question, unclear statements, and an insufficiently detailed experiment. Therefore, I recommend Major Revisions to allow the authors to address these concerns and improve the manuscript for potential acceptance in a future version.
然而，我发现手稿的质量受到几个问题的阻碍，包括模糊的科学问题、不明确的陈述以及不够详细的实验。因此，我建议进行重大修订，以使作者能够解决这些问题并改进手稿，以便在未来版本中可能被接受。
Below are my comments and suggestions:
以下是我的意见和建议：
Major comments #1: Although I understand that the authors aim to identify an effective indicator to guide urban greening planning, the study lacks a clearly defined scientific question. Additionally, the Introduction section is confusing due to the absence of a brief summary in each paragraph. Examples of plausible scientific questions include: 1) the difference in the explanatory power of remotely-sensed greenspace indicators in the variation of UHI across different climate zones, and 2) the available thresholds for mitigating UHI using the indicator with the highest explanatory power. Therefore, the structure of the Introduction and the study objectives need revision to clearly articulate these plausible scientific questions.
主要评论#1：虽然我理解作者的目的是寻找一个有效的指标来指导城市绿化规划，但该研究缺乏明确界定的科学问题。此外，由于每个段落都没有简短的摘要，因此引言部分令人困惑。合理的科学问题的例子包括：1）遥感绿地指标对不同气候区城市热岛变化的解释力差异；2）使用解释力最高的指标缓解城市热岛效应的可用阈值。因此，引言的结构和研究目标需要修改，以清楚地阐明这些看似合理的科学问题。
Major comments #2: Analyzing data from 2010, 2015, and 2020 appears redundant as the figures and tables show similar results across these years. Thus, the findings of the current manuscript are sufficient by analyzing data from just one year, making the three-year analysis unnecessary. I have three suggestions: 1) Define a conceptual (triangle) framework illustrating the relationship between vegetation and UHI based on relevant literature, which could help introduce an indicator for comparing cooling effects from temporal changes in greenspace; 2) Using this framework and indicator, demonstrate the optimal threshold of greenspace coverage in cities, at least for each climate zone; 3) Conduct an in-depth analysis of the temporal variations presented in Figure 8. Delta EVI seems more sensitive to land cover changes, as indicated by the significant differences between 2015 and other years. Additionally, the nonlinear relationship between SUHII and delta GC could be used to identify a greening threshold.
主要评论#2：分析 2010 年、2015 年和 2020 年的数据似乎是多余的，因为这些年份的数据和表格显示了相似的结果。因此，通过分析一年的数据，当前手稿的发现就足够了，无需进行三年的分析。我有三点建议：1）根据相关文献定义一个概念（三角形）框架来说明植被与城市热岛之间的关系，这有助于引入一个指标来比较绿地时间变化的降温效果； 2) 使用该框架和指标，展示城市绿地覆盖率的最佳阈值，至少对于每个气候区； 3）对图8所示的时间变化进行深入分析。Delta EVI似乎对土地覆盖变化更加敏感，2015年与其他年份之间的显着差异表明了这一点。此外，SUHII 和 delta GC 之间的非线性关系可用于确定绿化阈值。
Minor comments #1: Writing needs improvement. Many vague statements exist, such as "the potential of GC in multi-city comparison of SUHI intensity (SUHII), compared to EVI, still lacks systematic understanding" (lines 6-7, lines 94-95, etc.). Chinese punctuation appears in places, such as "，" (lines 292, 275, etc.). The phrase "so on" conflicts with "such as" in lines 46-48. I suggest the authors check their scientific writing for accuracy and conciseness.
小意见#1：写作需要改进。存在许多模糊的表述，例如“GC在多城市SUHI强度比较（SUHII）方面的潜力，与EVI相比，仍然缺乏系统的理解”（第6-7行，第94-95行等）。中文标点符号出现在“，”等地方（第292、275行等）。第 46-48 行中短语“so on”与“such as”冲突。我建议作者检查他们的科学写作的准确性和简洁性。
Minor comments #2: The uncertainty of greenspace data exists. Since the input of GLC_FS30, the unspecialized urban land cover product, is Landsat, issues such as definition, mixed pixels, and spectrum can lower the accuracy of greenspace. This limitation should be acknowledged in the Discussion. Additionally, the urban boundary could generate uncertainty in the findings.
小评论#2：绿地数据存在不确定性。由于非专业城市土地覆盖产品GLC_FS30的输入是Landsat，清晰度、混合像素和光谱等问题会降低绿地的准确性。应在讨论中承认这一限制。此外，城市边界可能会给研究结果带来不确定性。
Minor comments #3: Reference #17 needs formal checking.
小评论#3：参考#17 需要正式检查。
Minor comments #4: The Conclusion needs to be concise; one paragraph is sufficient.
小意见#4：结论需要简洁；一个段落就足够了。
Minor comments #5: A figure showing the research steps needs to be added. Additionally, a figure illustrating the conceptual framework is highly recommended (as mentioned in Major comments #2).
小评论#5：需要添加显示研究步骤的图表。此外，强烈建议使用一张说明概念框架的图（如主要评论 #2 中所述）。
Minor comments #6: Add discussions on the quantified planning of urban greening (following Major comments #2).
小意见#6：添加关于城市绿化量化规划的讨论（继主要意见#2之后）。
Reviewer 2: The paper studies the relationship between the SUHI and green area in different background climate. Two index, i.e., greenspace coverage and enhanced vegetation index, are compared. Remote sensing data are utilized. The values of indexes are obtained in both urban and rural buffer zones. The topic suits the journal scope well and is overall well written. Several comments are given as follows.
审稿人2：论文研究了不同背景气候下SUHI与绿地面积的关系。比较了绿地覆盖率和增强植被指数这两个指标。利用遥感数据。指标值是在城市和农村缓冲区中获得的。该主题非常适合期刊范围，总体写得很好。现提出几点意见如下。
1. What is the difference between SUHI and UHI? Why the authors studies SUHI instead of UHI?
1.SUHI和UHI有什么区别？为什么作者研究 SUHI 而不是 UHI？
2. When you calculate the temperature difference between urban area and rural area, did you count all the pixels or did you only count the pixels that are not vegetation? This aspect is important for you to interpret your results.
2、计算城乡温差时，是统计所有像素点还是只统计非植被像素点？这方面对于您解释结果很重要。
3. Why did you choose three time periods? 2010, 2015 and 2020.
3. 为什么选择三个时间段？ 2010 年、2015 年和 2020 年。
4. What is the time for your temperature data? Is it daytime or nighttime? Would it be different? Any comments on this aspect?
4. 你们的温度数据是几点到的？现在是白天还是晚上？会有所不同吗？对此有何评论？
5. What is the background weather when you calculate the SUHI? It would affect the results.
5. 计算SUHI时的背景天气是什么？会影响结果。
Reviewer 3: The paper analyzed the correlation between surface urban heat island intensity and two green space indices (green space coverage GC and enhanced vegetation index EVI) in 233 Chinese cities in three different climate regions. The focus was on comparing the relationship between the difference in urban and rural green space indicators (Δ GC and Δ EVI) and SUHII, as well as their performance in different climate regions. The research system analyzed the potential application of green space indicators in SUHII comparison, providing new ideas for urban heat island research and basis for urban heat island mitigation strategies in different climate regions. The research has certain significance. However, the article still has the following shortcomings:
审稿人3：论文分析了中国三个不同气候区233个城市的地表城市热岛强度与两个绿地指数（绿地覆盖率GC和增强植被指数EVI）之间的相关性。重点比较了城乡绿地指标（ΔGC和ΔEVI）的差异与SUHII之间的关系，以及它们在不同气候区域的表现。该研究系统分析了绿地指标在SUHII对比中的潜在应用，为城市热岛研究提供新思路，为不同气候区域城市热岛缓解策略提供依据。研究具有一定的意义。但该文章仍存在以下不足：
(1) Is there only these three climate zones in the Chinese region? If not, why only these three climate zones were selected? Please explain the reason?
（1）中国地区只有这三个气候区吗？如果不是，为什么只选择这三个气候区？请解释一下原因？
(2) In the introduction section, the author did not effectively summarize the shortcomings of the current research, and the innovative points proposed in the article based on these shortcomings need to be condensed again
（2）在引言部分，作者没有有效总结当前研究的不足之处，文章中基于这些不足之处提出的创新点需要再次凝练
(3) In the overview of the research area, there is a description of climate zone data. It is recommended to add this section to the section on data sources and processing.
（3）研究区概况中，有气候带数据的描述。建议将此部分添加到数据源和处理部分。
(4) The data source is explained in a long paragraph here. It is recommended to organize it in the form of a table and streamline the language.
(4)这里用一长段文字解释了数据来源。建议以表格的形式来组织，精简语言。
(5) In the article, there are many figures that do not clearly indicate the specific meaning of expression, such as Figures 4, 6, 7, and 8. It is recommended to add them.
（5）文章中有很多图没有明确表示表达的具体含义，例如图4、图6、图7、图8，建议补充。
(6) The article mainly uses Pearson correlation analysis to explore the degree of connection between the two, and whether their support is relatively weak. It is recommended to add the impact of the difference in urban and rural green space indicators (Δ GC and Δ EVI) on SUHII to better highlight its value.
(6)文章主要利用Pearson相关分析来探究两者之间的联系程度，以及它们的支持度是否比较弱。建议在SUHII上加入城乡绿地指标差异（ΔGC和ΔEVI）的影响，以更好地凸显其价值。
(7) Suggest reorganizing the discussion section to better reflect its completeness. List the shortcomings of the article, etc.
(7) 建议重新组织讨论部分以更好地体现其完整性。列出文章的不足之处等。
(8) Suggest adding a mind map of the entire article to better reflect its logic.
（8）建议添加整篇文章的思维导图，更好地体现其逻辑。
(9) The expressions in the article should be corrected by professionals who have been engaged in English as their mother tongue for a long time.
（9）文章中的表述应由长期从事以英语为母语的专业人士修正。
(10) Please double check the citation labels in the article, such as [42] and [43], for any formatting errors.
(10) 请仔细检查文章中的引文标签，例如[42]和[43]，是否有任何格式错误。
Reviewer 4: 审稿人4：
This paper provides an interesting set of results related to the correlations between surface urban heat island intensity and vegetation in China. I think this manuscript can be published after major revisions.
本文提供了一组关于中国地表城市热岛强度与植被之间相关性的有趣结果。我认为这篇手稿经过重大修改后可以发表。
1. Lines 14-15. I suggest using the same indicators for comparison.
1. 第 14-15 行。我建议使用相同的指标进行比较。
2. Introduction. Could you please better clarify the novelty of and innovation of this manuscript?
2. 简介。您能更好地说明一下这篇手稿的新颖性和创新性吗？
3. Line 104. What are the criteria for selecting these 233 cities? Why are there no cities in Xinjiang and Xizang?
3. 第104行，选择这233个城市的标准是什么？新疆、西藏为什么没有城市？
4. Line 127. What data is used to remove water bodies? Does GISD30 dataset include water bodies?
4. 第 127 行。使用哪些数据来去除水体？ GISD30 数据集包含水体吗？
5. Line 132. There are many gaps in MOD11A2 and MYD11A2 data, especially in cloudy regions. How did you solve this problem? Some recent publications should be discussed, for example, Global seamless and high-resolution temperature dataset (GSHTD), 2001-2020; Estimation of the surface urban heat island intensity across 1031 global cities using the regression-modification-estimation (RME) method; A Robust Method for Filling the Gaps in MODIS and VIIRS Land Surface Temperature Data; Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China; Less sensitive of urban surface to climate variability than rural in Northern China.
5.第132行。MOD11A2和MYD11A2数据存在很多差距，特别是在多云地区。你是如何解决这个问题的？应该讨论一些最近的出版物，例如，全球无缝高分辨率温度数据集（GSHTD），2001-2020；使用回归修正估计（RME）方法估计全球 1031 个城市的地表热岛强度；填补 MODIS 和 VIIRS 地表温度数据空白的稳健方法；调查中国武汉的城市化进程及其对植被变化和城市热岛的影响；城市地表对气候变化的敏感度低于中国北方农村。
6. Line 153. Has the water body in rural areas been removed?
6、第153行，农村水体是否已清除？
7. Figure 2. Unit, latitude and longitude information should be added.
7. 图2. 应添加单位、纬度和经度信息。
8. Line 160. Where can we download this data?
8.第160行。我们在哪里可以下载这些数据？
9. Line 187. Why air temperature and wind were not selected?
9. 第187行。为什么没有选择气温和风？
10. The reasons for some abnormal results should be explained. e.g., line 216.
10.某些结果异常应说明原因。例如，第 216 行。
11. Lines 219-233 and Figure 5. Significance level should be added
11.第219-233行和图5.应添加显着性级别
12. Limitations of the study should be added as a part of the discussion.
12. 应在讨论中添加研究的局限性。
*****
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