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学者姓名：胡秀娟
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为探讨近30年城市生态遥感研究的发展趋势及热点，基于文献计量法，以Web of Science(WoS)数据库中的SCI及SSCI学术期刊和CNKI数据库中的学术期刊为数据源，运用文献分析软件CiteSpace绘制城市生态遥感领域知识图谱，对1991～2021年该领域发表的论文进行分析。结果表明：(1)就发文数量来看，城市生态遥感的研究经历了“萌芽阶段”、“累积阶段”和“快速增长阶段”，呈现出良好的发展态势，发文量的质心在世界范围内也表现出从东部向西部然后又回归东部的迁移趋势；(2)就研究机构来看，在WoS与CNKI数据库中发文量最多的研究机构分别是中国科学院地理科学与资源研究所和北京师范大学；(3)就发文期刊来看，在WoS与CNKI数据库中发文量最多的期刊分别是Remote Sensing与《生态学报》；(4)就核心作者来看，中国科学院周伟奇与福州大学徐涵秋分别是WoS和CNKI数据库中发文量最多的作者；(5)通过对关键词的统计，“生态环境”、“土地利用”、“景观格局”为近年来城市生态遥感领域的研究热点。总体来看，城市生态遥感在环境科学、自然地理学、测绘学等学科占有越来越大的比重，应用生态遥感模型来定量评估生态环境质量成为该领域的重要趋势，城市生态遥感研究对遥感影像的分辨率要求越来越高，今后高空间和高光谱分辨率遥感影像将成为该领域的热门数据源，多源遥感数据协同反演城市生态也将成为该领域的发展趋势。
Keyword ：
CiteSpace CiteSpace 城市生态 城市生态 文献计量法 文献计量法 遥感 遥感
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| GB/T 7714 | 尹慧敏 , 胡秀娟 , 杨立娟 et al. 城市生态遥感研究热点与发展趋势的可视化分析 [J]. | 遥感技术与应用 , 2024 , 39 (03) : 642-658 . |
| MLA | 尹慧敏 et al. "城市生态遥感研究热点与发展趋势的可视化分析" . | 遥感技术与应用 39 . 03 (2024) : 642-658 . |
| APA | 尹慧敏 , 胡秀娟 , 杨立娟 , 李春强 , 徐涵秋 . 城市生态遥感研究热点与发展趋势的可视化分析 . | 遥感技术与应用 , 2024 , 39 (03) , 642-658 . |
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快速、准确、简便地提取裸土信息对高效监测水土流失状况、科学开展水土保持工作具有重要意义。本研究以福建省长汀县为研究区域，构建了三重指数裸土信息的遥感提取方法，选取裸土指数BI初步提取裸土信息，再利用垂直不透水面指数PISI和仿归一化建筑指数NDBI*剔除裸土中混杂的建筑用地。将三重指数法应用于长汀县的结果表明：(1)长汀县裸土面积从2016年的128.61km~2下降至2022年的102.22km~2，反映出该县水土保持工作的良好成效。(2)三重指数法操作简便，并且在分离裸土和建筑用地信息上有较好的表现，提取总精度在96%以上，Kappa系数大于0.89。
Keyword ：
Landsat 8 Landsat 8 指数法 指数法 水土流失 水土流失 裸土提取 裸土提取
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| GB/T 7714 | 胡秀娟 , 尹慧敏 , 苏桂芬 et al. 三重指数裸土信息提取优化方法及其应用 [J]. | 亚热带水土保持 , 2024 , 36 (01) : 6-12 . |
| MLA | 胡秀娟 et al. "三重指数裸土信息提取优化方法及其应用" . | 亚热带水土保持 36 . 01 (2024) : 6-12 . |
| APA | 胡秀娟 , 尹慧敏 , 苏桂芬 , 王智允 , 卢顺发 , 陈文祥 . 三重指数裸土信息提取优化方法及其应用 . | 亚热带水土保持 , 2024 , 36 (01) , 6-12 . |
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Mountainous and hilly regions are one of the mainstays of national ecological security barriers. To avoid the impact of terrain undulations on the ecological environment quality assessment, we used the normalized difference mountain vegetation index (NDMVI) as the greenness ecological factor, combined with the humidity, aridity, and thermal factors, to construct the improved the hilly remote sensing ecological index (HRSEI) for mountainous areas based on the remote sensing ecological index (RSEI). We assessed ecological quality in two typical mountainous and hilly areas, i.e., Changting County in Longyan City, Fujian Province, and Shanyang County in Shangluo City, Shaanxi Province. We compared the ecological quality grade transition paths of HRSEI and RSEI, and verified the applicability of HRSEI in mountainous areas. The results showed that NDMVI could extract more vegetation information in mountainous areas than NDVI. The greater the topographic relief, the stronger the ability of NDMVI to extract vegetation information. Verified through average correlation and stepwise regression equations, HRSEI was representative for the ecological quality assessment of mountainous and hilly areas. HRSEI mainly upgraded the vegetation ecological grade from good to excellent for some areas affected by shadows. Compared with the extraction results of RSEI, areas classified as excellent increased by 13.75 and 41.88 km2 in Changting and Shangyang, respectively. Combined with high-resolution imagery, the areas with improved ecological quality corresponded to high-vegetation-cover areas affected by mountain shadows, indicating that HRSEI could effectively improve the identification accuracy of high-vegetation-cover areas influenced by shadows, making it more practical. © 2024 Science Press. All rights reserved.
Keyword ：
ecological environment quality ecological environment quality ecology ecology hilly remote sensing ecological index (HRSEI) hilly remote sensing ecological index (HRSEI) mountainous and hilly region mountainous and hilly region remote sensing remote sensing
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| GB/T 7714 | Wang, Z. , Hu, X. , Zheng, S. et al. Construction and application of hilly remote sensing ecological index.; [山地遥感生态指数的构建及应用] [J]. | Chinese Journal of Applied Ecology , 2024 , 35 (11) : 3131-3140 . |
| MLA | Wang, Z. et al. "Construction and application of hilly remote sensing ecological index.; [山地遥感生态指数的构建及应用]" . | Chinese Journal of Applied Ecology 35 . 11 (2024) : 3131-3140 . |
| APA | Wang, Z. , Hu, X. , Zheng, S. , Zou, X. , Su, G. , Lu, S. . Construction and application of hilly remote sensing ecological index.; [山地遥感生态指数的构建及应用] . | Chinese Journal of Applied Ecology , 2024 , 35 (11) , 3131-3140 . |
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社区儿童活动场地是儿童进行社交、游戏、运动的主要场所。以福州市台江区义洲街道和洋中街道为例，对社区尺度的儿童活动场地可达性进行精细化定量评价，运用GIS网络分析和热点分析方法从场地服务范围、场地供给能力、场地布局公平性三个方面评价儿童活动场地可达性。结果表明：研究区内6.5%的住宅位于社区儿童活动场地服务空白地带；游园的服务范围重叠较大；由于城市快速路和主干道阻隔，社区公园的服务范围被缩减。
Keyword ：
儿童活动场地 儿童活动场地 社区生活圈 社区生活圈 空间可达性 空间可达性 网络分析 网络分析
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| GB/T 7714 | 胡秀娟 , 罗叶璇 , 郑偲怡 et al. 基于慢行系统的社区儿童活动场地可达性评价 [J]. | 福州大学学报(哲学社会科学版) , 2023 , 37 (06) : 46-55 . |
| MLA | 胡秀娟 et al. "基于慢行系统的社区儿童活动场地可达性评价" . | 福州大学学报(哲学社会科学版) 37 . 06 (2023) : 46-55 . |
| APA | 胡秀娟 , 罗叶璇 , 郑偲怡 , 邹亚锋 . 基于慢行系统的社区儿童活动场地可达性评价 . | 福州大学学报(哲学社会科学版) , 2023 , 37 (06) , 46-55 . |
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Satellite top-of-atmosphere (TOA) reflectance has been validated as an effective index for estimating PM2.5 concentrations due to its high spatial coverage and relatively high spatial resolution (i.e., 1 km). For this paper, we developed an emsembled random forest (RF) model incorporating satellite top-of-atmosphere (TOA) reflectance with four categories of supplemental parameters to derive the PM2.5 concentrations in the region of the Yangtze River Delta-Fujian (i.e., YRD-FJ) located in east China. The landscape pattern indices at two levels (i.e., type level and overall level) retrieved from 3-year land classification imageries (i.e., 2016, 2018, and 2020) were used to discuss the correlation between county-based PM2.5 values and landscape pattern. We achieved a cross validation R-2 of 0.91 (RMSE = 9.06 mu g/m(3)), 0.89 (RMSE = 10.19 mu g/m(3)), and 0.90 (RMSE = 8.02 mu g/m(3)) between the estimated and observed PM2.5 concentrations in 2016, 2018, and 2020, respectively. The PM2.5 distribution retrieved from the RF model showed a trend of a year-on-year decrease with the pattern of "Jiangsu > Shanghai > Zhejiang > Fujian" in the YRD-FJ region. Our results also revealed that the landscape pattern of farmland, water bodies, and construction land exhibited a highly positive relationship with the county-based average PM2.5 values, as the r coefficients reached 0.74 while the forest land was negatively correlated with the county-based PM2.5 (r = 0.84). There was also a significant correlation between the county-based PM2.5 and shrubs (r = 0.53), grass land (r = 0.76), and bare land (r = 0.60) in the YRD-FJ region, respectively. Three landscape pattern indices at an overall level were positively correlated with county-based PM2.5 concentrations (r = 0.80), indicating that the large landscape fragmentation, edge density, and landscape diversity would raise the PM2.5 pollution in the study region.
Keyword ：
landscape pattern landscape pattern PM2 5 PM2 5 random forest random forest YRD-FJ YRD-FJ
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| GB/T 7714 | Yang, Lijuan , Wang, Shuai , Hu, Xiujuan et al. County-Based PM2.5 Concentrations' Prediction and Its Relationship with Urban Landscape Pattern [J]. | PROCESSES , 2023 , 11 (3) . |
| MLA | Yang, Lijuan et al. "County-Based PM2.5 Concentrations' Prediction and Its Relationship with Urban Landscape Pattern" . | PROCESSES 11 . 3 (2023) . |
| APA | Yang, Lijuan , Wang, Shuai , Hu, Xiujuan , Shi, Tingting . County-Based PM2.5 Concentrations' Prediction and Its Relationship with Urban Landscape Pattern . | PROCESSES , 2023 , 11 (3) . |
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The COVID-19 pandemic in China in the winter-spring of 2019-2020 has decreased and even stopped many human activities. This study investigates whether there were any changes in the water quality of the Lower Min River (China) during the lockdown period. The time-series remote sensing images from November 2019 to April 2020 was used to examine the dynamics of the river's total suspended solids (TSS) concentrations in the period. A new remote sensing-based prototype was developed to recalibrate an existing algorithm for retrieving TSS concentrations in the river. The Nechad and the Novoa algorithms were used to validate the recalibrated algorithm. The results show that the recalibrated algorithm is highly consistent with the two algorithms. All of the three algorithms indicate significant fluctuation in TSS concentrations in the Lower Min River during the study period. February (COVID-19 lockdown period) has witnessed a 48% fall in TSS concentration. The TSS in March-April showed a progressive and recovery back to normal levels of pre-COVID-19. The spatiotemporal change of TSS has worked as a good indicator of human activities, which revealed that the decline of TSS in the lockdown period was due largely to the substantially-reduced discharges from industrial estates, densely populated city center, and river's shipping. Remote sensing monitoring of the spatiotemporal changes of TSS helps understand important contributors to the water-quality changes in the river and the impacts of anthropogenic activities on river systems.
Keyword ：
COVID-19 COVID-19 Human activity Human activity Model recalibration Model recalibration Total suspended solids Total suspended solids Water remote sensing Water remote sensing
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| GB/T 7714 | Xu, Hanqiu , Xu, Guangzhi , Wen, Xiaole et al. Lockdown effects on total suspended solids concentrations in the Lower Min River (China) during COVID-19 using time-series remote sensing images [J]. | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION , 2021 , 98 . |
| MLA | Xu, Hanqiu et al. "Lockdown effects on total suspended solids concentrations in the Lower Min River (China) during COVID-19 using time-series remote sensing images" . | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 98 (2021) . |
| APA | Xu, Hanqiu , Xu, Guangzhi , Wen, Xiaole , Hu, Xiujuan , Wang, Yifan . Lockdown effects on total suspended solids concentrations in the Lower Min River (China) during COVID-19 using time-series remote sensing images . | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION , 2021 , 98 . |
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Rainwater-induced soil erosion occurring in the forest is a special phenomenon of soil erosion in many red soil areas. Detection of such soil erosion is essential for developing land management to reduce soil loss in areas including southern China and other red soil regions of the world. Remotely sensed canopy cover is often used to determine the potential of soil erosion over a large spatial scale, which, however, becomes less useful in forest areas. This study proposes a new remote sensing method to detect soil erosion under forest canopy and presents a case study in a forest area in southern China. Five factors that are closely related to soil erosion in forest were used as discriminators to develop the model. These factors include fractional vegetation coverage, nitrogen reflectance index, yellow leaf index, bare soil index and slope. They quantitatively represent vegetation density, vegetation health status, soil exposure intensity and terrain steepness that are considered relevant to forest soil erosion. These five factors can all be derived from remote sensing imagery based on related thematic indices or algorithms. The five factors were integrated to create the soil erosion under forest model (SEUFM) through Principal Components Analysis (PCA) or a multiplication method. The case study in the forest area in Changting County of southern China with a Landsat 8 image shows that the first principal component-based SEUFM achieves an overall accuracy close to 90%, while the multiplication-based model reaches 81%. The detected locations of soil erosion in forest provide the target areas to be managed from further soil loss. The proposed method provides a tool to understand more about soil erosion in forested areas where soil erosion is usually not considered an issue. Therefore, the method is useful for soil conservation in forest.
Keyword ：
detection model detection model fractional vegetation coverage fractional vegetation coverage principal components analysis principal components analysis red-soil erosion red-soil erosion SEUFM SEUFM vegetation health vegetation health yellow leaf index yellow leaf index
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| GB/T 7714 | Xu, Hanqiu , Hu, Xiujuan , Guan, Huade et al. A Remote Sensing Based Method to Detect Soil Erosion in Forests [J]. | REMOTE SENSING , 2019 , 11 (5) . |
| MLA | Xu, Hanqiu et al. "A Remote Sensing Based Method to Detect Soil Erosion in Forests" . | REMOTE SENSING 11 . 5 (2019) . |
| APA | Xu, Hanqiu , Hu, Xiujuan , Guan, Huade , Zhang, Bobo , Wang, Meiya , Chen, Shanmu et al. A Remote Sensing Based Method to Detect Soil Erosion in Forests . | REMOTE SENSING , 2019 , 11 (5) . |
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城市绿化在改善空气、水和土壤质量,吸收和减少二氧化碳及各种污染物,缓解城市热岛和减少雨水径流等方面发挥着重要作用.及时准确地获取树种信息是城市规划与绿化管理的先决条件,对进一步改善城市生态环境也具有重要意义.基于遥感技术,使用高空间分辨率的WorldView-2卫星影像,采用光谱、纹理、指数以及几何等多种特征相结合的面向对象方法,并通过随机森林进行特征选择,对福州大学旗山校区北部的榕树、杧果、香樟、重阳木、羊蹄甲、垂叶榕以及木棉7种主要绿化乔木进行树种分类.实地验证结果表明:通过特征选择可以减少或规避数据冗余以及休斯效应的产生,该方法可以提高现有同类型树种分类的精度,当淘汰全部特征的20％,利用34个特征(包括15个光谱特征、6个纹理特征、8个指数特征和5个几何特征)进行分类时,总精度最高,可达74.95％,Kappa系数为0.67.其中,光谱平均值的特征重要性最高,而各波段的标准差的重要性较低.WorldView-2卫星影像的4个新增波段,特别是黄光和红边波段及其构建的指数特征重要性较高,也说明这些波段在植被遥感,特别是树种分类中极具应用前景.
Keyword ：
WorldView-2 WorldView-2 树种分类 树种分类 特征选择 特征选择 随机森林 随机森林 面向对象 面向对象
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| GB/T 7714 | 温小乐 , 钟奥 , 胡秀娟 . 基于随机森林特征选择的城市绿化乔木树种分类 [J]. | 地球信息科学学报 , 2018 , 20 (12) : 1777-1786 . |
| MLA | 温小乐 et al. "基于随机森林特征选择的城市绿化乔木树种分类" . | 地球信息科学学报 20 . 12 (2018) : 1777-1786 . |
| APA | 温小乐 , 钟奥 , 胡秀娟 . 基于随机森林特征选择的城市绿化乔木树种分类 . | 地球信息科学学报 , 2018 , 20 (12) , 1777-1786 . |
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The discomfort index (DI) is an important indicator that measures the human heat sensation for different climate conditions. Currently, DI of a city is usually calculated using data from a single or a few weather stations and hence does not accurately represent various thermal discomfort states of the whole city. In addition, because the result of existing DI is just a single numeric value, it does not reveal the spatial variation of thermal discomfort levels and thus is unable to represent actual living environment conditions. This greatly limits the DI application. Taking Fuzhou of southeastern China as an example, this paper proposes a technique to produce a fine-scale DI map by combining a sharpened Landsat thermal infrared image with in-situ measured meteorological data. The DI map clearly reveals the spatial details of DI in different locations of the city. It provides quantitative characterization of the living environment of each DI level based on a 3-graded DI map. This greatly expands the application range of the index. The quantitative analysis results show that the area of high building density substantially increases outdoor human thermal discomfort sensation, while high vegetation and water covers reduce the discomfort sensation. The impact of built surface to human discomfort sensation is near two times more than those of vegetation and water in the Fuzhou case. (C) 2017 Elsevier B.V. All rights reserved.
Keyword ：
Discomfort index Discomfort index Fuzhou Fuzhou Image sharpening Image sharpening Living environment Living environment Remote sensing Remote sensing Thermal comfort Thermal comfort
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| GB/T 7714 | Xu, Hanqiu , Hu, Xiujuan , Guan, Huade et al. Development of a fine-scale discomfort index map and its application in measuring living environments using remotely-sensed thermal infrared imagery [J]. | ENERGY AND BUILDINGS , 2017 , 150 : 598-607 . |
| MLA | Xu, Hanqiu et al. "Development of a fine-scale discomfort index map and its application in measuring living environments using remotely-sensed thermal infrared imagery" . | ENERGY AND BUILDINGS 150 (2017) : 598-607 . |
| APA | Xu, Hanqiu , Hu, Xiujuan , Guan, Huade , He, Guojin . Development of a fine-scale discomfort index map and its application in measuring living environments using remotely-sensed thermal infrared imagery . | ENERGY AND BUILDINGS , 2017 , 150 , 598-607 . |
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以福建省长汀县河田地区的植被为研究对象,选取2010年Landsat 5和2014年Landsat 8遥感影像,基于影像的植被光谱特征曲线和纹理波段,对该区进行植被分类和植被类型变化的研究.精度验证表明,两年份的植被分类的总精度分别为85.62%和86.44%,Kappa系数分别为0.804和0.818.研究结果表明:2010~2014年间河田地区共增加植被面积590.40 hm2,并且两年份的植被类型均以马尾松为主,其面积占各自年份植被总面积的69%以上,而其它植被类型的面积比例各异.分析发现,政策的支持是该区植被在这4年间发生变化的主要驱动力.研究表明该方法能够有效地对植被进行分类,并且可以准确地掌握河田地区各植被的分布及面积,较好地了解各植被的变化及变化原因,为水土流失治理及植被优化提供科学决策依据.
Keyword ：
植被分类 植被分类 植被类型变化 植被类型变化 遥感 遥感 长汀县 长汀县 驱动力 驱动力
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| GB/T 7714 | 付伟 , 徐涵秋 , 王美雅 et al. 南方红壤典型水土流失区植被分类及植被类型变化的遥感评估——以福建省长汀县河田地区为例 [J]. | 遥感技术与应用 , 2017 , 32 (3) : 546-555 . |
| MLA | 付伟 et al. "南方红壤典型水土流失区植被分类及植被类型变化的遥感评估——以福建省长汀县河田地区为例" . | 遥感技术与应用 32 . 3 (2017) : 546-555 . |
| APA | 付伟 , 徐涵秋 , 王美雅 , 王帅 , 胡秀娟 , 张博博 et al. 南方红壤典型水土流失区植被分类及植被类型变化的遥感评估——以福建省长汀县河田地区为例 . | 遥感技术与应用 , 2017 , 32 (3) , 546-555 . |
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