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学者姓名：胡秀娟
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Abstract ：
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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山地丘陵地区是国家生态安全屏障的主体之一.为避免地形起伏对其生态质量评价产生影响,本研究采用归一化差值山地植被指数(NDMVI)作为绿度生态因子,结合湿度、干度和热度构建基于遥感生态指数(RSEI)改进的山地遥感生态指数(HRSEI),并对典型山地丘陵区福建省龙岩市长汀县和陕西省商洛市山阳县开展生态质量评价,对比HRSEI和RSEI的生态质量等级转移路径,验证HRSEI在山地区域的适用性.结果表明:NDMVI相较于NDVI在山地区域能提取到更多的植被信息,地形起伏越大,NDMVI提取植被信息的能力越强.经过平均相关度和逐步回归方程验证可知,采用HRSEI对山地丘陵区域的生态质量评价具有代表性.HRSEI主要将部分受阴影干扰的植被生态等级从良提升为优,与RSEI的提取结果相比,长汀县和山阳县生态等级为优的面积分别提升了 13.75和41.88 km2.结合高分辨率影像可知,生态质量提升的范围对应为被山地阴影影响的高植被覆盖区,说明HRSEI可以有效提升受阴影影响的高植被覆盖区的识别准确度,使其更符合实际.
Keyword ：
山地丘陵地区 山地丘陵地区 山地遥感生态指数 山地遥感生态指数 生态 生态 生态环境质量 生态环境质量 遥感 遥感
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| GB/T 7714 | 王智允 , 胡秀娟 , 郑偲怡 et al. 山地遥感生态指数的构建及应用 [J]. | 应用生态学报 , 2024 , 35 (11) : 3131-3140 . |
| MLA | 王智允 et al. "山地遥感生态指数的构建及应用" . | 应用生态学报 35 . 11 (2024) : 3131-3140 . |
| APA | 王智允 , 胡秀娟 , 郑偲怡 , 邹鑫郁 , 苏桂芬 , 卢顺发 . 山地遥感生态指数的构建及应用 . | 应用生态学报 , 2024 , 35 (11) , 3131-3140 . |
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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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针对林下水土流失缺乏有效判别方法的问题,提出了一种遥感判别方法.该方法以植被覆盖度、植被健康度、土壤裸露度和坡度为判别因子,采用规则法来建立林下水土流失遥感判别模型,并将其应用于福建省长汀县.结果发现,长汀县有311.66 km2的林地发生不同程度的林下水土流失,其中有13.35％的土壤侵蚀强度达到中度.通过遥感方法识别出的林下水土流失区的空间分布位置可为该县今后深入治理水土流失提供目标靶区.
Keyword ：
林下水土流失 林下水土流失 植被健康状况 植被健康状况 植被覆盖度 植被覆盖度 规则判别 规则判别 遥感 遥感
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| GB/T 7714 | 徐涵秋 , 张博博 , 关华德 et al. 南方红壤区林下水土流失的遥感判别 ——以福建省长汀县为例 [J]. | 地理科学 , 2017 , 37 (8) : 1270-1276 . |
| MLA | 徐涵秋 et al. "南方红壤区林下水土流失的遥感判别 ——以福建省长汀县为例" . | 地理科学 37 . 8 (2017) : 1270-1276 . |
| APA | 徐涵秋 , 张博博 , 关华德 , 胡秀娟 , 陈明华 , 付伟 . 南方红壤区林下水土流失的遥感判别 ——以福建省长汀县为例 . | 地理科学 , 2017 , 37 (8) , 1270-1276 . |
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为定量分析不同城市规划理念带来的生态质量差异,本文以福州市在不同时期规划建设的2座体育场馆为例,基于Sen-tinel-2A遥感影像,应用新型遥感生态指数RSEI分析对比了这2座体育场馆的生态效应.在全面分析其主要地表覆盖信息的基础上,探讨了二者之间生态质量差异的原因.研究发现,采用传统理念规划的福建省奥林匹克体育中心的生态指数RSEI均值为0.39,而实行绿色生态规划的海峡奥林匹克体育中心的RSEI均值为0.42,优于福建省奥林匹克体育中心.总的看来,海峡奥体中心在规划中采用透水铺装和不勾缝的铺装形式,加大绿地斑块面积以及预留风道等绿色措施有效地提高了地表湿度、降低了地表温度和干度,从而对该体育中心的生态质量起到积极的作用.
Keyword ：
RSEI指数 RSEI指数 Sentinel-2A遥感影像 Sentinel-2A遥感影像 生态质量 生态质量 绿色生态城区规划 绿色生态城区规划 遥感 遥感
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| GB/T 7714 | 方灿莹 , 胡秀娟 , 徐涵秋 et al. 不同城市规划的生态质量差异对比研究 [J]. | 地球信息科学学报 , 2017 , 19 (8) : 1097-1107 . |
| MLA | 方灿莹 et al. "不同城市规划的生态质量差异对比研究" . | 地球信息科学学报 19 . 8 (2017) : 1097-1107 . |
| APA | 方灿莹 , 胡秀娟 , 徐涵秋 , 王美雅 , 林中立 . 不同城市规划的生态质量差异对比研究 . | 地球信息科学学报 , 2017 , 19 (8) , 1097-1107 . |
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