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学者姓名：徐涵秋
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Abstract ：
Urbanization and global warming have led to more frequent extreme heat events, highlighting the importance of Park Cooling Islands. This study analyzes the cooling effect (PCE) of 50 urban parks in Fuzhou to explore the relationship between park area and cooling effect. The results indicate that there is no simple positive correlation between park area and cooling effect. Specifically, while larger parks may have greater cooling potential, a larger area does not necessarily lead to better cooling effects. The optimal park area for cooling effect ranges from 0.594 to 56 hm2; beyond this range, an increase in park area does not significantly enhance the cooling effect. A low proportion of impervious surfaces, a high proportion of water bodies and vegetation, as well as complex patch patterns can enhance PCE, while excessive edge density and landscape fragmentation can weaken PCE. Based on importance analysis, the external morphological characteristics and internal patch characteristics of parks significantly influence cooling effects. Furthermore, the cooling effect of parks is jointly determined by internal and external conditions, with internal conditions having a more significant impact. Therefore, merely pursuing a "large" park area does not guarantee a "good" cooling effect; instead, greater emphasis should be placed on optimizing park design and layout, simplifying boundary shapes, reducing impervious surface ratios, and increasing vegetation diversity to maximize cooling effects.
Keyword ：
Landscape patch Landscape patch Park cooling effect Park cooling effect Threshold value of efficiency Threshold value of efficiency Urban heat Island Urban heat Island Urban park size Urban park size
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| GB/T 7714 | Wang, Lin , Wang, Wenjia , Tang, Fei et al. Optimizing urban park cooling effects requires balancing morphological design and landscape structure [J]. | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
| MLA | Wang, Lin et al. "Optimizing urban park cooling effects requires balancing morphological design and landscape structure" . | SCIENTIFIC REPORTS 15 . 1 (2025) . |
| APA | Wang, Lin , Wang, Wenjia , Tang, Fei , Xu, Hanqiu . Optimizing urban park cooling effects requires balancing morphological design and landscape structure . | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
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The red-edge bands and their derived vegetation indices play a crucial role in monitoring vegetation health. The Gaofen-6 (GF-6) and Sentinel-2A satellites are equipped with two and three red-edge bands, respectively, thus making them invaluable for monitoring forest health. To compare the performance of these two satellites' red-edge bands in monitoring forest health, this study selected forests in Liuyang City, Hunan Province and Tonggu County, Jiangxi Province and Hanzhong City, Shaanxi Province in China as study areas and used three commonly used red-edge indices and the Random Forest (RF) algorithm for the comparison. The three selected red-edge indices were the Normalized Difference Red-Edge Index 1 (NDRE1), the Missouri emergency resource information system Terrestrial Chlorophyll Index (MTCI), and the Inverted Red-Edge Chlorophyll Index (IRECI). Through training of sample regions, this study determined the spectral differences among three forest health levels and established classification criteria for these levels. The results showed that GF-6 imagery provided higher accuracy in distinguishing forest health levels than Sentinel-2A, with an average accuracy of 90.22% versus 76.55%. This difference is attributed to variations in the wavelengths used to construct the red-edge indices between GF-6 and Sentinel-2A. In the RF algorithm, this study employed three distinct band combinations for classification: all bands including red-edge bands, excluding red-edge bands, and only red-edge bands. The results indicated that GF-6 outperformed Sentinel-2A when using the first and second band combinations, yet slightly underperforming with the third. This outcome was closely associated with the importance of each band's contribution to classification accuracy reveled by the Gini importance score, their sensitivity in detecting forest health conditions, and the total number of bands employed in the classification process. Overall, the NDRE1 derived from GF-6 achieved the highest average accuracy (90.22%). This study provides a scientific basis for selecting appropriate remote sensing data and techniques for forest health monitoring, which is of significant importance for the future ecological protection of forests.
Keyword ：
forest health forest health Gaofen-6 (GF-6) Gaofen-6 (GF-6) Random Forest (RF) Random Forest (RF) red-edge index red-edge index remote sensing remote sensing Sentinel-2A Sentinel-2A
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| GB/T 7714 | Chen, Jiahui , Xu, Hanqiu , Tang, Fei . Coupling Spectral Indices and Machine Learning to Compare GF-6 and Sentinel-2A Data in Forest Health Monitoring [J]. | CHINESE GEOGRAPHICAL SCIENCE , 2025 , 35 (3) : 581-599 . |
| MLA | Chen, Jiahui et al. "Coupling Spectral Indices and Machine Learning to Compare GF-6 and Sentinel-2A Data in Forest Health Monitoring" . | CHINESE GEOGRAPHICAL SCIENCE 35 . 3 (2025) : 581-599 . |
| APA | Chen, Jiahui , Xu, Hanqiu , Tang, Fei . Coupling Spectral Indices and Machine Learning to Compare GF-6 and Sentinel-2A Data in Forest Health Monitoring . | CHINESE GEOGRAPHICAL SCIENCE , 2025 , 35 (3) , 581-599 . |
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Analyzing the spatio-temporal evolution of urban ecological quality and its driving factors is crucial for regional environmental protection and sustainable development. This paper presents a robust analytical framework for urban ecological quality evaluation based on multi-temporal Landsat satellite remote sensing imagery and auxiliary data. The framework integrates the remote sensing ecological index (RSEI) with Theil-Sen estimation, Mann-Kendall trend test, Hurst index, optimal parameters-based geographical detectors (OPGD), and multi-scale geographically weighted regression (MGWR). To verify its applicability and effectiveness in the context of rapid urbanization, this framework was used to investigate ecological quality changes and influencing factors in Dongguan city over the past 20 years. The results show that Dongguan̓s ecological environment has undergone a complex dynamic process of deterioration-improvement-re-deterioration during the 20-year period. Furthermore, forward-looking predictive analysis identified key areas of future ecological change and regions facing severe ecological risks as well as those with significant improvement potential. This comprehensive analysis provides scientific support for ecological management in Dongguan and offers valuable insights for similar regions undergoing rapid urbanization. © 2025 SinoMaps Press. All rights reserved.
Keyword ：
Abiotic Abiotic Anthropogenic Anthropogenic Biotic Biotic Landsat Landsat Predictive analytics Predictive analytics Sustainable development Sustainable development
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| GB/T 7714 | Gao, Yonggang , Liu, Yuting , Xu, Hanqiu . Analysis of the spatio-temporal evolution and driving factors of urban ecological quality based on long-term Landsat image time series [J]. | Acta Geodaetica et Cartographica Sinica , 2025 , 54 (3) : 510-522 . |
| MLA | Gao, Yonggang et al. "Analysis of the spatio-temporal evolution and driving factors of urban ecological quality based on long-term Landsat image time series" . | Acta Geodaetica et Cartographica Sinica 54 . 3 (2025) : 510-522 . |
| APA | Gao, Yonggang , Liu, Yuting , Xu, Hanqiu . Analysis of the spatio-temporal evolution and driving factors of urban ecological quality based on long-term Landsat image time series . | Acta Geodaetica et Cartographica Sinica , 2025 , 54 (3) , 510-522 . |
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选取中国知网(CNKI)数据库和Web of Science(WOS)核心合集数据库中近30 a水土流失遥感领域的3 058篇论文,利用CiteSpace和R语言等文献计量软件对论文发表的期刊分布、合作网络、关键词聚类、关键词时区变化等方面进行可视化分析.结果表明:①全球发文量质心正逐渐由西向东迁移,中国和美国在世界范围内对水土流失遥感领域的学术影响力最大;②CNKI数据库中的研究热点主要聚焦于分析黄土高原和三峡库区等典型水土流失区的植被信息、土地侵蚀模型、土地利用等方面,WOS数据库中的研究热点在此基础上,增加了对小流域和集水区坡面产流、河道汇流的关注;③两大数据库的研究主题演化特征存在差异,不同阶段的研究热点具有明显的时代特征,未来利用高光谱数据并结合新兴技术来精细化治理水土流失是该领域今后的重要发展趋势.
Keyword ：
CiteSpace CiteSpace 文献计量分析 文献计量分析 水土流失 水土流失 遥感 遥感
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| GB/T 7714 | 吴娟 , 王智允 , 胡秀娟 et al. 水土流失遥感研究近30 a文献计量分析与展望 [J]. | 安全与环境工程 , 2025 , 32 (2) : 333-346 . |
| MLA | 吴娟 et al. "水土流失遥感研究近30 a文献计量分析与展望" . | 安全与环境工程 32 . 2 (2025) : 333-346 . |
| APA | 吴娟 , 王智允 , 胡秀娟 , 尹慧敏 , 陈文祥 , 卢顺发 et al. 水土流失遥感研究近30 a文献计量分析与展望 . | 安全与环境工程 , 2025 , 32 (2) , 333-346 . |
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The Russia-Ukraine conflict has persisted for over a year, posing challenges in assessing and verifying the extent of damage through on-site investigations. Nighttime light (NTL) remote sensing, an emerging approach for studying regional conflicts, can complement traditional methods. This article employs National Aeronautics and Space Administration's Black Marble products to reveal the response characteristics of NTL intensity at national and state scales during the first anniversary of the conflict (January 2022 to February 2023) in Ukraine. The article used the NTL ratio index to assess the relative intensity of NTL and month-on-month change rate, nighttime light change rate index (NLCRI), and the rate (R value) of linear regression analysis to depict spatiotemporal dynamics. In addition, Theil-Sen median trend analysis and Mann-Kendall tests were employed to analyze intensity trends, with a "dual-threshold method" to reduce extensive noise interference. The results showed: At the national scale, the conflict resulted in an 84.0% decrease in NTL across Ukraine. At the state scale, the most severe NTL decline occurred near the southwestern border and eastern conflict zone under Ukrainian government control, witnessing over 80% decline rates. The correlation of decreases in NLCRI and R values with population displacement, infrastructure damage, or curfew measures demonstrated that the concentration of refugees and electricity facility restoration led to increased NLCRI and R values. Overall, NTL reflects critical moments at the national scale and provides insights into military intentions and humanitarian measures at the state scale. Therefore, NTL can effectively serve as a tool for observation and assessment in military conflicts.
Keyword ：
Black Marble nighttime lights (NTLs) product suite Black Marble nighttime lights (NTLs) product suite multiscale analysis multiscale analysis Russia-Ukraine conflict Russia-Ukraine conflict spatiotemporal dynamics spatiotemporal dynamics VNP46A3 product VNP46A3 product
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| GB/T 7714 | Wang, Lin , Lei, Henggang , Xu, Hanqiu . Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict [J]. | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 : 4084-4099 . |
| MLA | Wang, Lin et al. "Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict" . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17 (2024) : 4084-4099 . |
| APA | Wang, Lin , Lei, Henggang , Xu, Hanqiu . Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia-Ukraine Conflict . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 , 4084-4099 . |
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The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health. Therefore, red-edge indices based on the red-edge band have been developed to measure vegetation health. However, due to the limited availability of satellites with a red-edge band, most existing red-edge indices were not developed based on satellite data. Fortunately, the launch of the GaoFen-6 (GF-6) satellite provides favorable conditions for monitoring vegetation health using satellite imagery, as it has two red-edge bands with a spatial resolution of 16 m. To investigate the effectiveness of the red-edge bands on the GF-6 satellite in monitoring forest health, this study selected six red-edge indices and conducted tests in Zhangjiajie region in Hunan Province, China and Hetian Basin in Fujian Province, China. The selected indices are the normalized difference red-edge index 1 (NDRE1), the modified chlorophyll absorption ratio index 2, the red-edge chlorophyll (CIred-edge), the inverted red-edge chlorophyll index, the red-edge position, and the Missouri emergency resource information system terrestrial chlorophyll index. The results showed that when applied to NDRE1 and CIred-edge, the red-edge bands of GF-6 can effectively distinguish forest health conditions, with a discrimination accuracy of 92.3% and 92.5%, respectively. However, the performance of the GF-6 red-edge bands with the other four indices yielded accuracy generally lower than 70%. Overall, the two red-edge bands added to the GF-6 satellite contribute to discerning forest health conditions, with NDRE1 and CIred-edge being the preferred red-edge indices.
Keyword ：
Forest health Forest health Forestry Forestry GaoFen-6 (GF-6) GaoFen-6 (GF-6) Indexes Indexes Monitoring Monitoring red-edge band red-edge band red-edge index red-edge index Reflectivity Reflectivity remote sensing. remote sensing. Remote sensing Remote sensing Satellites Satellites Vegetation mapping Vegetation mapping
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| GB/T 7714 | Chen, Jiahui , Xu, Hanqiu . Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination [J]. | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 : 5621-5636 . |
| MLA | Chen, Jiahui et al. "Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination" . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17 (2024) : 5621-5636 . |
| APA | Chen, Jiahui , Xu, Hanqiu . Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2024 , 17 , 5621-5636 . |
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The recently launched Landsat-9 has an important mission of working together with Landsat-8 to reduce the revisit period of Landsat Earth observations to eight days. This requires the data of Landsat-9 to be highly consistent with that of Landsat-8 to avoid bias caused by data inconsistency when the two satellites are simultaneously used. Therefore, this study evaluated the consistency of the surface reflectance (SR) and land surface temperature (LST) data between Landsat-8 and Landsat-9 based on five test sites from different parts of the world using synchronized underfly image pairs of both satellites. Previous cross-comparisons have demonstrated high consistency between the spectral bands of Landsat-8 and Landsat-9, with differences of around 1%. However, it is unclear whether this low deviation will be amplified in subsequent multiband calculations. It is also necessary to determine whether the difference is consistent across different land cover types. Therefore, this study used a three-level cross-comparison approach to specifically examine these concerns. Besides the commonly used band-by-band comparison, which served as the first-level comparison in this study, this approach included a second-level comparison based on the calculations of several indicators and a third-level comparison based on a composite index calculated from the indicators obtained in the second-level comparison. This three-level approach will examine whether the difference found in the first-level per-band comparison would change after the subsequent calculations in the second- and third-level comparisons. The Remote Sensing based Ecological Index (RSEI) was used for this approach because it is a composite index integrating four indicators. The results of this three-level comparison show that the first-level per-band comparison exhibited high consistency between the two satellites' SR data, with an average absolute percent change (PC) of 1.88% and an average R2 of 0.957 across six bands in the five test sites. This deviation increased to 2.21% in the third-level composite index-based comparison, with R2 decreasing to 0.956. This indicates that after complex calculations, the deviation between the bands of the two satellites was amplified to some extent. However, when analyzing specific land cover types, notable differences emerged between the two satellites for the water category, with an average absolute PC ranging from 18% to 35% and an R2 of lower than 0.6. Additionally, there were also nearly 5% differences for the built-up land category, with an average R2 value of lower than 0.7. The comparison of LST data between both satellites also reveals that the Landsat-9 LST is on average 0.24 degrees C lower than Landsat-8 LST across the five test areas but can be 0.58 degrees C lower in built-up land-dominated areas and 0.42 degrees C higher in desert environments. Overall, the SR and LST data between Landsat-8 and Landsat-9 are consistent. However, their performance varies depending on different land cover types. Caution is needed particularly for water-related research when utilizing both satellites simultaneously. Significant discrepancies may also arise in the areas characterized by deserts and built-up lands.
Keyword ：
cross-comparison cross-comparison Landsat-8 Landsat-8 Landsat-9 Landsat-9 radiometric resolution radiometric resolution surface reflectance surface reflectance surface temperature surface temperature
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| GB/T 7714 | Xu, Hanqiu , Ren, Mengjie , Lin, Mengjing . Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images [J]. | GISCIENCE & REMOTE SENSING , 2024 , 61 (1) . |
| MLA | Xu, Hanqiu et al. "Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images" . | GISCIENCE & REMOTE SENSING 61 . 1 (2024) . |
| APA | Xu, Hanqiu , Ren, Mengjie , Lin, Mengjing . Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images . | GISCIENCE & REMOTE SENSING , 2024 , 61 (1) . |
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Numerous researches have been conducted on the impacts of urban thermal environmental factors on land surface temperature (LST) variations. However, few have comprehensive studied on their diurnal variations. This study explored whether the novel ECOSTRESS LST data can create fresh opportunities for analyzing the diurnal urban thermal environment. Here we utilized ECOSTRESS to explore the relative contribution, marginal effects, and granularity effects of 2D/3D urban factors on diurnal LSTs in a "furnace city" Fuzhou. Our results revealed that: (1) Anthropogenic heat flux and urban blue and green spaces have the greatest influence on nighttime LST and daytime LST, respectively. (2) The impacts of urban factors on diurnal LSTs are nonlinear. The marginal effect curve can reveal the crucial value ranges and turning points of the factors that affect diurnal LSTs. (3) The overall impact of the 2D factors on diurnal LSTs is more significant than that of the 3D factors. Meanwhile, 3D factors are indispensable elements in urban thermal environment research. They serve as an important supplementary to 2D factors in the vertical space of cities. Our findings can identify crucial factors influencing urban thermal environment, providing innovative insights for the development of strategies to mitigate urban heat island effects.
Keyword ：
ECOSTRESS ECOSTRESS Granularity effect Granularity effect Land surface temperature Land surface temperature Multi -dimensional characteristics Multi -dimensional characteristics Urban heat island Urban heat island Urban thermal environmental factors Urban thermal environmental factors
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| GB/T 7714 | Lin, Zhongli , Xu, Hanqiu , Yao, Xiong et al. How does urban thermal environmental factors impact diurnal cycle of land surface temperature? A multi-dimensional and multi-granularity perspective [J]. | SUSTAINABLE CITIES AND SOCIETY , 2024 , 101 . |
| MLA | Lin, Zhongli et al. "How does urban thermal environmental factors impact diurnal cycle of land surface temperature? A multi-dimensional and multi-granularity perspective" . | SUSTAINABLE CITIES AND SOCIETY 101 (2024) . |
| APA | Lin, Zhongli , Xu, Hanqiu , Yao, Xiong , Yang, Changxin , Ye, Dan . How does urban thermal environmental factors impact diurnal cycle of land surface temperature? A multi-dimensional and multi-granularity perspective . | SUSTAINABLE CITIES AND SOCIETY , 2024 , 101 . |
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Urbanization has disrupted the energy balance of natural surfaces, leading to the formation and intensification of urban heat island (UHI) phenomenon. Current research on the relationship between surface energy balance (SEB) and UHI mainly focuses on either a macro perspective of large-scale regions or a micro perspective based on numerical microclimate simulations. However, there are still relatively few studies conducted on the local scale of cities. Here, we investigated the relationships between seasonal SEB and land surface temperature (LST) based on local climate zones (LCZ) and explored the impact of three-dimensional (3D) urban morphology on SEB. Our results revealed that: (1) urban building spaces have relatively higher LST, sensible heat flux, and storage heat flux, but lower net radiation and latent heat flux, compared to urban blue and green spaces; (2) among LCZ built types, the compact and large low-rise buildings have high LST and heat-inducing energy fluxes, while the compact and open high-rise buildings exhibit the opposite situation; (3) the component proportions of SEB fluxes exhibit a more significant linear correlation with UHI intensity compared to the relative differences between SEB fluxes; and (4) 3D building morphology has a higher relative importance in influencing the variations of surface energy balance ratio (SEBR) components than 3D vegetation morphology. Specifically, building height has the greatest impact on the seasonal variations of SEBR components, while the 3D urban greening ratio has relatively high importance among vegetation morphology. These findings enable us to better consider local UHI effect from the perspective of SEB.
Keyword ：
Land surface temperature Land surface temperature Local climate zones Local climate zones Surface energy balance Surface energy balance Three-dimensional urban morphology Three-dimensional urban morphology Urban heat island Urban heat island XGBoost XGBoost
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| GB/T 7714 | Lin, Zhongli , Xu, Hanqiu , Hu, Xisheng et al. Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology [J]. | BUILDING AND ENVIRONMENT , 2024 , 265 . |
| MLA | Lin, Zhongli et al. "Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology" . | BUILDING AND ENVIRONMENT 265 (2024) . |
| APA | Lin, Zhongli , Xu, Hanqiu , Hu, Xisheng , Liu, Zhicai , Yao, Xiong , Zhu, Zhipeng . Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology . | BUILDING AND ENVIRONMENT , 2024 , 265 . |
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Predicting the spatiotemporal dynamics of land cover and its carbon stock holds significant importance in guiding regional sustainable development, enhancing regional carbon stocks, and addressing global climate change. However, there is insufficient research on the quantitative relationships between various land cover types and carbon stock changes, as well as their future spatial predictions. Focusing on the core area of Fuzhou City, China, this study constructs a streamlined framework by coupling deep learning and the InVEST model to predict urban land cover and carbon stock changes in 2025 and 2035. The results show that: (1) The prediction model for land cover change has high applicability and can produce the simulated images with high accuracy. Impervious surface is expected to increase by 53 km(2) in 2025 and 131 km(2) in 2035 compared to 2020, resulting in considerable reductions in forest and cropland. (2) Carbon stocks of the study area are expected to decrease by 1.68 x 10(6)t in 2035 compared to 2020 due to large amounts of high-carbon-density forests and croplands being converted into low-carbon-density impervious surfaces. (3) Multiple regression analysis reveals that forests have the largest impact on carbon stocks in the area, with a magnitude 5.25 times greater than impervious surfaces and 11.5 times greater than cropland, whereas impervious surfaces are the second most influential land cover type on carbon stock changes. Therefore, expanding forest areas becomes an essential initiative as forests could offset the carbon stock loss caused by impervious surface growth. This study provides scientific references for optimizing land-use planning and formulating policies for the development of low-carbon cities.
Keyword ：
Carbon stocks Carbon stocks Deep learning Deep learning Fuzhou city Fuzhou city InVEST model InVEST model Land cover Land cover Prediction Prediction
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| GB/T 7714 | Li, Chunqiang , Xu, Hanqiu , Du, Peijun et al. Predicting land cover changes and carbon stock fluctuations in Fuzhou, China: A deep learning and InVEST approach [J]. | ECOLOGICAL INDICATORS , 2024 , 167 . |
| MLA | Li, Chunqiang et al. "Predicting land cover changes and carbon stock fluctuations in Fuzhou, China: A deep learning and InVEST approach" . | ECOLOGICAL INDICATORS 167 (2024) . |
| APA | Li, Chunqiang , Xu, Hanqiu , Du, Peijun , Tang, Fei . Predicting land cover changes and carbon stock fluctuations in Fuzhou, China: A deep learning and InVEST approach . | ECOLOGICAL INDICATORS , 2024 , 167 . |
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