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学者姓名：刘智才
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Abstract ：
Human activity is an important factor affecting regional thermal environment change, and it is of great significance to explore the response relationship between human activity intensity (HAI) and land surface temperature (LST) for regional sustainable development. Based on MOD11A1 ground temperature data and combined with multi-source data such as land use (LU),population density (PD),night light (NTL),grassland use intensity (GUI) and existing biomass (EB),this paper proposed a method suitable for measuring the HAI in Three-River Source Region,and analyzed the spatio-temporal variation characteristics of HAI and LST in Three-River Source Region from 2000 to 2020. Comprehensive use of spatial autocorrelation and spatial autoregressive model to explore the spatial relationship between them. The results show that: (1) According to the regional ecological characteristics of Three-River Source Region, the HAI index model constructed in this paper can effectively identify the spatial distribution of HAI in Three-River Source Region,and can better distinguish the spatial differences of HAI in Three-River Source Region;(2) The average value of HAI in Three-River Source Region in the past 20 years was 0.285,and the overall intensity was low.The spatial distribution characteristics of HAI and LST were both high in the east and low in the west,and the two were significantly positively correlated.(3) LU,PD,GUI and EB in HAI index significantly affect the change of LST in Three-River Source Region,while there is a phenomenon of ' warming lag' between NTL and LST,and its response to LST is not obvious.In general,in order to slow down the further rise of LST in this region and alleviate the challenges faced by the regional ecological security system,it is necessary to limit the spread of high human activity areas. © 2025 Editorial Board of Journal of Basic Science and Engineering. All rights reserved.
Keyword ：
Population statistics Population statistics
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| GB/T 7714 | Liu, Zhicai , Zheng, Weiwen , Long, Zihan et al. Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region [J]. | Journal of Basic Science and Engineering , 2025 , 33 (2) : 349-361 . |
| MLA | Liu, Zhicai et al. "Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region" . | Journal of Basic Science and Engineering 33 . 2 (2025) : 349-361 . |
| APA | Liu, Zhicai , Zheng, Weiwen , Long, Zihan , Wang, Lin , Xu, Zhanghua . Modeling of Human Activity Intensity Index and Its Spatial Relationship with Land Surface Temperature in Three-River Source Region . | Journal of Basic Science and Engineering , 2025 , 33 (2) , 349-361 . |
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Urban construction land is categorized into different types in the overall planning of territorial space. Research on the relationship between spatial environment elements and Land Surface Temperature (LST) across various land types can provide a planning and management basis for ecological city construction. This paper focuses on the main urban area of Fuzhou and references the land classification system for territorial spatial planning published by the Ministry of Natural Resources in November 2023. Based on the urban road network and high-resolution remote sensing images, different types of construction land in Fuzhou, including residential land, public management and public service land, commercial service land, mixed commercial and residential land, industrial land, and green land and open space land, were identified. Landsat-8 remote sensing data and building vector data were used to calculate LST during summer and winter, as well as to gather spatial environment factor information (NDVI, NDISI, BCR, BH, BSD, SVF) for different land types. Finally, after analyzing the seasonal LST characteristics and spatial environment factors of various land types, spatial autocorrelation analysis and spatial autoregression model were used to explore the spatial relationship between these factors and seasonal LST. The results show that: (1) In summer, the average LST values for various land types are ranked as follows: Industrial land (40.38 ℃) > Public administration and public service land (38.28 ℃) > Commercial service land (38.25 ℃) > mixed commercial and residential land (37.87 ℃) > residential land (37.52 ℃) > green land and open space land (35.71 ℃). In winter, the ranking is: industrial land (18.32 ℃) > public administration and public service land (17.99 ℃) > commercial service land (17.93 ℃) > residential land (16.92 ℃) > mixed commercial and residential land (16.15 ℃) > green and open space land (15.79 ℃). (2) The correlation and influence of spatial environment elements on seasonal LST vary across different urban construction land types. In both summer and winter, BH and BSD are negatively correlated with urban land use LST, while NDISI, BCR, and SVF show positive correlations with LST. However, NDVI is negatively correlated with the LST of residential land and public administration and public service land during summer, with spatial error coefficients of -3.653 and -2.496, respectively, but shows a positive correlation in winter, with spatial error coefficients of 3.767 and 2.507, respectively. © 2024 Science Press. All rights reserved.
Keyword ：
Competitive intelligence Competitive intelligence Costs Costs Decision making Decision making Efficiency Efficiency Frequency allocation Frequency allocation Geological surveys Geological surveys Geopolymers Geopolymers Natural resources exploration Natural resources exploration Particle size Particle size Particle size analysis Particle size analysis Power markets Power markets Project management Project management Radar measurement Radar measurement Stereophonic broadcasting Stereophonic broadcasting Urban planning Urban planning Water treatment Water treatment Windows Windows
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| GB/T 7714 | Liu, Zhicai , Zhu, Xiaochun , Guo, Yaqi et al. Relationship Between Space Environment Factors and Land Surface Temperature in the Main Urban Area of Fuzhou Under the National Land and Spatial Planning System [J]. | Journal of Geo-Information Science , 2024 , 26 (11) : 2597-2611 . |
| MLA | Liu, Zhicai et al. "Relationship Between Space Environment Factors and Land Surface Temperature in the Main Urban Area of Fuzhou Under the National Land and Spatial Planning System" . | Journal of Geo-Information Science 26 . 11 (2024) : 2597-2611 . |
| APA | Liu, Zhicai , Zhu, Xiaochun , Guo, Yaqi , Long, Zihan . Relationship Between Space Environment Factors and Land Surface Temperature in the Main Urban Area of Fuzhou Under the National Land and Spatial Planning System . | Journal of Geo-Information Science , 2024 , 26 (11) , 2597-2611 . |
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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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Bamboo groves predominantly thrive in tropical or subtropical regions. Assessing the efficacy of remote sensing data of various types in extracting bamboo forest information from bright and shadow areas is a critical issue for achieving precise identification of bamboo forests in complex terrain. In this study, 34 features were obtained from Sentinel-1 SAR and Sentinel-2 optical images using the Google Earth Engine platform. The normalized shaded vegetation index (NSVI) was then employed to segment the bright and shadow woodlands. Different features from diverse data sources were evaluated to extract bamboo forest information in the bright and shadow areas, then use the random forest (RF) classification algorithm to extract bamboo forest. The results showed that (1) the red-edge and short-wave infrared bands of Sentinel-2 optical images and their corresponding vegetation indices are significant in bamboo forest information extraction. (2) The dissimilarity and homogeneity of Sentinel-2 texture features in the bright area and dissimilarity in the shadow area, the Sentinel-1 backscatter features in the bright area and the VV and VH in the bright area and VV-VH in the shadow area have some variability between bamboo and nonbamboo forests, which can be used as effective features for bamboo forest extraction. (3) The combination of spectral, texture and backscatter features yields the highest overall classification accuracy and Kappa coefficient, at 87.96% and 0.7435, respectively. This study has the potential for remote sensing refinement of bamboo forest identification in complex terrain areas by utilizing subregion classification methods combined with optical and radar image features.
Keyword ：
Bamboo forest Bamboo forest Google Earth Engine Google Earth Engine Sentinel-1 Sentinel-1 Sentinel-2 Sentinel-2 subregion classification subregion classification
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| GB/T 7714 | Xiang, Songyang , Xu, Zhanghua , Shen, Wanling et al. Mapping of bamboo forest bright and shadow areas using optical and SAR satellite data in Google Earth Engine [J]. | GEOCARTO INTERNATIONAL , 2023 , 38 (1) . |
| MLA | Xiang, Songyang et al. "Mapping of bamboo forest bright and shadow areas using optical and SAR satellite data in Google Earth Engine" . | GEOCARTO INTERNATIONAL 38 . 1 (2023) . |
| APA | Xiang, Songyang , Xu, Zhanghua , Shen, Wanling , Chen, Lingyan , Hao, Zhenbang , Wang, Lin et al. Mapping of bamboo forest bright and shadow areas using optical and SAR satellite data in Google Earth Engine . | GEOCARTO INTERNATIONAL , 2023 , 38 (1) . |
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Leaf water content (LWC) is very important in the growth of vegetation. LWC and leaf spectra change when the leaves are under pest stress; exploring the change mechanism between LWC, leaf spectra, and pest stress can lay the foundation for pest detection. In this study, we measured the LWC and leaf spectra of moso bamboo leaves under different damage levels, used the Pearson-Lasso method to screen the features, and established a multiple linear regression (MLR) and random forest regression (RFR) model to estimate the LWC. We analyzed the relationship between LWC and spectral features of moso bamboo leaves under Pantana phyllostachysae Chao (PPC) stress and their changes. The results showed that: (1) the LWC showed a decreasing trend as the pest level increased. (2) The spectra changed substantially when the leaves were under pest stress. (3) The number and significance of response features associated with the LWC were diverse under different damage levels. (4) The estimation of LWC under different damage levels differed significantly. LWC, leaf spectra, response features, and the model estimation effect were diverse under different damage levels. The correlation between LWC and features was higher for healthy leaves than for damaged and off-year leaves. The two models were more effective in estimating the LWC of healthy leaves but less effective for damaged and off-year leaves. This study provides theoretical support for the prediction of PPC stress and lays the foundation for remote sensing monitoring.
Keyword ：
changing relationships changing relationships moso bamboo moso bamboo Pantana phyllostachysae Chao Pantana phyllostachysae Chao Pearson-Lasso Pearson-Lasso spectral features spectral features water content water content
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| GB/T 7714 | Xu, Zhanghua , Li, Bin , Yu, Hui et al. Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress [J]. | FORESTS , 2023 , 14 (4) . |
| MLA | Xu, Zhanghua et al. "Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress" . | FORESTS 14 . 4 (2023) . |
| APA | Xu, Zhanghua , Li, Bin , Yu, Hui , Zhang, Huafeng , Guo, Xiaoyu , Li, Zenglu et al. Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress . | FORESTS , 2023 , 14 (4) . |
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Chlorophyll is an important physiological parameter reflecting the health status of green vegetation. The change mechanism of chlorophyll and leaf spectrum under pest stress is complex. It is of great significance to analyze the relationship between chlorophyll and leaf spectrum in depth for pest detection. Taking Shunchang County, Nanping City, Fujian Province as the experimental area, the leaf SPAD and leaf spectrum of Phyllostachys pubescens under different damage scenarios were measured. Pearson correlation method was used to screen the leaf spectrum characteristic indexes, and multiple linear regression, ridge regression, random forest and XGBoost estimation models of leaf SPAD were established. By comparing the screening results of spectral characteristics and the estimation effect of the model, the relationship between chlorophyll and leaf spectral characteristics of Phyllostachys pubescens under the stress of Pantana phyllostachysae was analyzed. The results showed that: (1) SPAD of Phyllostachys pubescens leaves showed a downward trend with the increase of insect pests; (2) Compared with the undamaged state, the spectral characteristics of Phyllostachys pubescens leaves changed obviously under the stress of Pantana phyllostachysae, and the "green peak" and "red valley" tended to disappear, the slope of "red edge" decreased, and the reflectance of near infrared wavelength decreased. (3) The best spectral characteristics of leaf SPAD based on full sample fitting are VOG(2), R-515/R-570, CIred, PRI and NDVI705, and the best estimation model is multiple linear regression model (R-2=0.7537, RMSE=3.0150). (4) SPAD of Phyllostachys pubescens leaves was fitted based on samples with different damage degrees. The optimal spectral characteristic indexes were health: CIred, VOG(2), ARVI, R-515/R-570, DVI; mild hazard: RENDVI, RERVI and REDVI; moderate hazard: RENDVI, RERVI and REDVI; severe hazard: VOG(2), CIred, NDVI705; off year: PRI, NDVI705, VOG(1), CIred. The best estimation model is the multiple linear regression model, and the model accuracy is healthy (R-2 = 0.8823; RMSE=1.6388); mild hazard(R-2=0.1802; RMSE=3.3354); moderate hazard(R-2 = 0.3604; RMSE=3.8867); severe hazard (R-2=0.4677; RMSE=2.6018); off year (R-2=0.7324; RMSE=2.3754). It was found that with the increase of the damage grade, the spectral characteristic index of Phyllostachys pubescens leaves changed, and the estimation accuracy of the relational model showed a trend of sharp decline at first and then slowly rising. The model had better estimation effect on SPAD of healthy and young leaves, but poor estimation effect on SPAD of light-medium-severe damaged leaves. When the relationship between SPAD and spectral characteristics of Phyllostachys pubescens leaves tends to be disordered, it indicates that the harm of Pantana phyllostachysae may occur.
Keyword ：
Correlation analysis Correlation analysis Machine learning Machine learning Pest stress Pest stress SPAD SPAD Spectral characteristics of leaves Spectral characteristics of leaves
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| GB/T 7714 | Hu Xin-yu , Xu Zhang-hua , Huang Xu-ying et al. Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox [J]. | SPECTROSCOPY AND SPECTRAL ANALYSIS , 2022 , 42 (9) : 2726-2739 . |
| MLA | Hu Xin-yu et al. "Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox" . | SPECTROSCOPY AND SPECTRAL ANALYSIS 42 . 9 (2022) : 2726-2739 . |
| APA | Hu Xin-yu , Xu Zhang-hua , Huang Xu-ying , Zhang Yi-wei , Chen Qiu-xia , Wang Lin et al. Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox . | SPECTROSCOPY AND SPECTRAL ANALYSIS , 2022 , 42 (9) , 2726-2739 . |
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To control the negative effects resulting from the disorderly development of aquaculture ponds and promote the development of the aquaculture industry, rapid and accurate identification and extraction techniques are essential. An aquaculture pond is a special net-like water body divided by complex roads and dikes. Simple spectral features or spatial texture features are not sufficient to accurately extract it, and the mixed feature rule set is more demanding on computer performance. Supported by the GEE platform, and using the Landsat satellite data set and corresponding DEM combined with field survey data, we constructed a decision-making model for the extraction of aquaculture ponds in the coastal waters, and applied this method to the coastal waters of Southeast China. This method combined the image spectral information, spatial features, and morphological operations. The results showed that the total accuracy of this method was 93%, and the Kappa coefficient was 0.86. The overlapping proportions of results between the automated extraction and visual interpretation for test areas were all more than 90%, and the average was 92.5%, which reflected the high precision and reliability of this extraction method. Furthermore, in 2020, the total area of coastal aquaculture ponds in the study area was 6348.51 km(2), which was distributed primarily in the cities of Guangdong and Jiangsu. Kernel density analysis suggested that aquaculture ponds in Guangdong and Jiangsu had the highest degree of concentration, which means that they face higher regulatory pressure in the management of aquaculture ponds than other provinces. Therefore, this method can be used to extract aquaculture ponds in coastal waters of the world, and holds great significance to promote the orderly management and scientific development of fishery aquaculture.
Keyword ：
aquaculture pond area aquaculture pond area GEE platform GEE platform spatial convolution spatial convolution threshold segmentation threshold segmentation
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| GB/T 7714 | Wang, Lin , Li, Yefan , Zhang, Dongzhu et al. Extraction of Aquaculture Pond Region in Coastal Waters of Southeast China Based on Spectral Features and Spatial Convolution [J]. | WATER , 2022 , 14 (13) . |
| MLA | Wang, Lin et al. "Extraction of Aquaculture Pond Region in Coastal Waters of Southeast China Based on Spectral Features and Spatial Convolution" . | WATER 14 . 13 (2022) . |
| APA | Wang, Lin , Li, Yefan , Zhang, Dongzhu , Liu, Zhicai . Extraction of Aquaculture Pond Region in Coastal Waters of Southeast China Based on Spectral Features and Spatial Convolution . | WATER , 2022 , 14 (13) . |
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以往研究生态脆弱性多集中于宏观区域角度,而针对工程建设项目等微观尺度的生态脆弱性影响研究则较为少见.为了探究道路建设对路域生态环境的影响,以Landsat 8 OLI/TIRS遥感影像和DEM为数据源,以莆炎高速YA12段公路两侧1000 m路域为研究区,将定量化和空间化的理念引入南方红壤丘陵区公路建设项目尺度下的生态脆弱性研究,利用"缓冲区阶梯"探寻了公路建设活动对路域生态脆弱性影响的空间分异规律.结果表明:路域生态脆弱性程度与缓冲距离成反比,随着与公路距离的接近而逐渐增大,路域30 m缓冲范围内是受公路建设影响最强的区域,根据该缓冲范围内平均生态脆弱性指数相较于背景值的上升程度(仅升高0.293),可推断该标段的公路建设行为所引起的地表扰动对路域生态脆弱性的影响较为有限;公路两侧300 m缓冲区范围认定为路域生态环境重点保护区域,而针对路基、桥梁为主的建设形式则需要外延至360 m缓冲范围;隧道出入口建设对生态脆弱性的影响远大于隧道内部,因此隧道出入口也是公路建设期间及竣工之后的生态监控、生态重建的重点区域.研究可为高速公路等各类公路工程建设对生态环境影响的监测与评价提供帮助和参考.
Keyword ：
环境工程 环境工程 生态脆弱性指数 生态脆弱性指数 空间分异 空间分异 缓冲区阶梯 缓冲区阶梯 遥感 遥感
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| GB/T 7714 | 李春强 , 王琳 , 刘智才 et al. 南方红壤丘陵区公路路域生态脆弱性空间分异规律 [J]. | 公路交通科技 , 2022 , 39 (12) : 224-230 . |
| MLA | 李春强 et al. "南方红壤丘陵区公路路域生态脆弱性空间分异规律" . | 公路交通科技 39 . 12 (2022) : 224-230 . |
| APA | 李春强 , 王琳 , 刘智才 , 刘辉 , 张冬珠 . 南方红壤丘陵区公路路域生态脆弱性空间分异规律 . | 公路交通科技 , 2022 , 39 (12) , 224-230 . |
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在高分辨率影像提取福州市南台岛(仓山区)住宅用地的基础上,从覆盖研究区的30m×30m网格中随机选择50个样方进行表层土壤取样,进而分析这一快速城市化地区住宅用地表层土壤有机碳密度(Soil organic carbon density,SOCD)的变异特征及其影响因素。结果表明:城市地区住宅用地在剧烈的人类活动干扰下,土壤呈现明显的空间变异特征,其SOCD平均值为33.814t/hm~2,变异系数达72.8%,其中郊区村镇住宅用地0—20cm土层的SOCD高于城市居住用地72%,预示着村镇就地城市化后将造成土壤碳储量的下降;然而,表层土壤有机碳含量与密度在建成时间为0—5年和5—10年的城市...
Keyword ：
住宅用地 住宅用地 土壤有机碳密度 土壤有机碳密度 快速城市化 快速城市化 福州 福州
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| GB/T 7714 | 曾宏达 , 徐涵秋 , 刘智才 et al. 快速城市化地区住宅用地表层土壤有机碳的变异性及其影响因素——以福州南台岛为例 [J]. | 生态学报 , 2018 , 38 (04) : 1427-1435 . |
| MLA | 曾宏达 et al. "快速城市化地区住宅用地表层土壤有机碳的变异性及其影响因素——以福州南台岛为例" . | 生态学报 38 . 04 (2018) : 1427-1435 . |
| APA | 曾宏达 , 徐涵秋 , 刘智才 , 黄向华 , 肖苏麟 . 快速城市化地区住宅用地表层土壤有机碳的变异性及其影响因素——以福州南台岛为例 . | 生态学报 , 2018 , 38 (04) , 1427-1435 . |
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城市发展过程中不同类型城市规划用地的建设活动会引起明显的生态效应差异，研究这种差异及其形成的原因对建设生态宜居城市具有重要意义。本文利用Landsat系列遥感影像，反演了福州市2009年和2013年的遥感生态指数（RSEI），并结合国务院新近审批通过的福州市城市总体规划方案，对福州市建设活动较明显的5类城市规划用地的22个地块进行了研究，以揭示它们在建设前后所产生的生态质量变化情况。研究发现，2009-2013年5大类城市规划用地的生态质量均呈下降趋势，RSEI指数总体下降了近12%。其中，尤以工业用地生态退化最为严重，RSEI指数下降了18%。结果表明，植被、水体在建设中被破坏以及建筑不透水面的大量增加是导致这些城市规划用地生态质量下降的主要因素。
Keyword ：
城市规划 城市规划 生态变化 生态变化 福州 福州 遥感 遥感
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| GB/T 7714 | 刘智才 , 徐涵秋 , 林中立 et al. 不同城市规划用地类型的生态效应研究 [J]. | 地球信息科学学报 , 2016 , 18 (10) : 1352-1359 . |
| MLA | 刘智才 et al. "不同城市规划用地类型的生态效应研究" . | 地球信息科学学报 18 . 10 (2016) : 1352-1359 . |
| APA | 刘智才 , 徐涵秋 , 林中立 , 黄绍霖 . 不同城市规划用地类型的生态效应研究 . | 地球信息科学学报 , 2016 , 18 (10) , 1352-1359 . |
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