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学者姓名：温小乐
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Abstract ：
雄安新区自2017年设立为国家级新区以来,已进行了大量的开发建设,但迄今尚未见对开发建设所产生的生态效应的研究报道。因此,本文选取2017和2020年的Landsat 8影像,分别代表雄安新区未开始建设和建设3年后的两个时期来对此进行对比。利用遥感空间信息技术反演出2017—2020年雄安新区开发建设以来主要地表覆盖类型的变化,并采用遥感生态指数(RSEI)对这些地表覆盖类型变化产生的生态效应进行评估。结果表明:(1)雄安新区2017—2020年间的开发建设已使建筑用地面积增加了60.01 km~2,水体面积增加了8.95 km~2,植被面积减少了69.29 km~2。雄安新区现阶段的开发建设...
Keyword ：
地表覆盖变化 地表覆盖变化 生态质量 生态质量 遥感 遥感 遥感生态指数(RSEI) 遥感生态指数(RSEI) 雄安新区 雄安新区
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| GB/T 7714 | 邓文慧 , 温小乐 , 徐涵秋 et al. 新区开发建设及其生态效应分析——以雄安新区为例 [J]. | 生态学报 , 2023 , (01) : 1-11 . |
| MLA | 邓文慧 et al. "新区开发建设及其生态效应分析——以雄安新区为例" . | 生态学报 01 (2023) : 1-11 . |
| APA | 邓文慧 , 温小乐 , 徐涵秋 , 段伟芳 , 李春强 . 新区开发建设及其生态效应分析——以雄安新区为例 . | 生态学报 , 2023 , (01) , 1-11 . |
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Xiong'an New Area is a state-level development area established in 2017 and many buildings and roads have been developed in the area since then. Nevertheless, there were no researches on the ecological changes of the area caused by the development. To meet this requirement, two Landsat 8 images in 2017 and 2020 were selected in this paper to study the ecological effects of the areal development. The 2017 image was used to represent the period before the development of the Xiong'an New Area, whereas the 2020 image was to represent the period after three-year development. The development-induced main land cover changes in the Xiong'an New Area were revealed using remote sensing techniques. The remote sensing based ecological index (RSEI) was used to evaluate the ecological changes of the new area in the period due to the land cover changes. The results showed that (1) the development of the Xiong'an New Area from 2017 to 2020 has caused an increase of 60. 01 km2 in built-up land, an increase of 8. 95 km2 in open water, and a decrease of 69. 29 km2 in vegetation. The development of the new area is currently concentrated in Rongcheng and Xiongxian counties, while Anxin county is less developed. (2) The development-induced ecological change in the period is characterized by the fact that the ecologically improved area is larger than the degraded area, and the area proportion of remote sensing based ecological index (RSEI) above good grade rose slightly during the period. Therefore, the overall ecological quality of the new area has increased slightly in the three years, showing by the increase of the mean RSEI from 0.668 in 2017 to 0.677 in 2020. Nevertheless, the presentations of the three counties were different. The mean RSEIs of Xiongxian and Anxin counties have increased, while the mean RSEI of Rongcheng County has decreased slightly. (3) The improvement of ecological quality in the Xiong'an New Area mainly benefited from its new planning thought that insisted on ecological priority and green sustainable development, as well as the implementation of several projects to improve ecological quality, such as the Qiannian-xiu-lin forest project and the returning of cultivated land to water project that insure high blue and green proportions in the new area. © 2023 Science Press. All rights reserved.
Keyword ：
ecological quality ecological quality land cover change land cover change remote sensing remote sensing remote sensing based ecological index remote sensing based ecological index Xiong' an New Area Xiong' an New Area
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| GB/T 7714 | Deng, W. , Wen, X. , Xu, H. et al. Analysis of regional development and its ecological effects: A case study of the Xiong′an New Area, China [新区开发建设及其生态效应-以雄安新区为例] [J]. | Shengtai Xuebao , 2023 , 43 (1) : 263-273 . |
| MLA | Deng, W. et al. "Analysis of regional development and its ecological effects: A case study of the Xiong′an New Area, China [新区开发建设及其生态效应-以雄安新区为例]" . | Shengtai Xuebao 43 . 1 (2023) : 263-273 . |
| APA | Deng, W. , Wen, X. , Xu, H. , Duan, W. , Li, C. . Analysis of regional development and its ecological effects: A case study of the Xiong′an New Area, China [新区开发建设及其生态效应-以雄安新区为例] . | Shengtai Xuebao , 2023 , 43 (1) , 263-273 . |
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Abstract ：
雄安新区自2017年设立为国家级新区以来,已进行了大量的开发建设,但迄今尚未见对开发建设所产生的生态效应的研究报道.因此,选取2017年和2020年的Landsat 8影像,分别代表雄安新区未开始建设和建设3年后的两个时期来对此进行对比.利用遥感空间信息技术反演出2017—2020年雄安新区开发建设以来主要地表覆盖类型的变化,并采用遥感生态指数(RSEI)对这些地表覆盖类型变化产生的生态效应进行评估.结果表明:(1)雄安新区2017—2020年间的开发建设已使建筑用地面积增加了60.01 km2,水体面积增加了8.95 km2,植被面积减少了69.29 km2.雄安新区现阶段的开发建设主要集中在区内的容城县和雄县,而安新县的开发强度较小.(2)雄安新区2017—2020年间开发建设的生态效应体现在生态改善面积大于退化面积,生态等级良好以上的面积占比有所提升.因此,新区的生态质量总体略有上升,RSEI均值从0.668上升到0.677.但3个县的表现不一,雄县和安新县的生态有所提升,而容城县则略有下降.(3)雄安新区虽经开发,但生态质量并未下降,这主要得益于其生态优先、绿色可持续发展的规划理念,以及所实施的"千年秀林"、退耕还淀等增加蓝绿比的生态质量提升工程.
Keyword ：
地表覆盖变化 地表覆盖变化 生态质量 生态质量 遥感 遥感 遥感生态指数(RSEI) 遥感生态指数(RSEI) 雄安新区 雄安新区
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| GB/T 7714 | 邓文慧 , 温小乐 , 徐涵秋 et al. 新区开发建设及其生态效应 ——以雄安新区为例 [J]. | 生态学报 , 2023 , 43 (1) : 263-273 . |
| MLA | 邓文慧 et al. "新区开发建设及其生态效应 ——以雄安新区为例" . | 生态学报 43 . 1 (2023) : 263-273 . |
| APA | 邓文慧 , 温小乐 , 徐涵秋 , 段伟芳 , 李春强 . 新区开发建设及其生态效应 ——以雄安新区为例 . | 生态学报 , 2023 , 43 (1) , 263-273 . |
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以毗邻北京南郊的涿州市、固安县为例，选取1997年Landsat5 TM影像、 2009年Landsat5 TM和2017年Landsat8 OLI影像构建遥感生态指数(RSEI),对1997—2017年间涿州市和固安县的生态状况及其变化趋势进行分析评价.结果显示：研究区RSEI和Wet、 NDSI关系相比于NDVI、 LST相关性更高；在乡镇级别上，植被占比与区域RSEI呈指数关系.研究区RSEI均值由1997年的0.66下降至2017年的0.50,降幅达24%;生态改善的面积仅占总面积的15%,而生态下降的面积占到59%.研究区生态状况总体上呈现下降态势，环城镇中心地带和研究区南部生态下降...
Keyword ：
固安县 固安县 涿州市 涿州市 生态评价 生态评价 遥感生态指数 遥感生态指数
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| GB/T 7714 | 温小乐 , 陈旭 , 徐涵秋 . 基于遥感生态指数的京郊南部城市生态评价——以涿州市、固安县为例 [J]. | 福州大学学报(自然科学版) , 2022 , 50 (02) : 286-292 . |
| MLA | 温小乐 et al. "基于遥感生态指数的京郊南部城市生态评价——以涿州市、固安县为例" . | 福州大学学报(自然科学版) 50 . 02 (2022) : 286-292 . |
| APA | 温小乐 , 陈旭 , 徐涵秋 . 基于遥感生态指数的京郊南部城市生态评价——以涿州市、固安县为例 . | 福州大学学报(自然科学版) , 2022 , 50 (02) , 286-292 . |
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In the summer of 2020, heavy rains made the Poyang Lake region witnessed a big flood event. Remote sensing earth observation technology can help to map and assess the flood hazard quickly and efficiently. Therefore, two 2020 satellite images acquired on April 15 (Landsat-8 OLI) and July 14 (Sentinel-1A SAR) were selected in this study to represent the dates before and after the flood to evaluate the disaster. Using remote sensing thematic information extraction, Random Forest classification and change detection technology, the inundation area and the area of major land cover types within the inundation areas were revealed. Associated with the hydrological, meteorological and topographical data, the specific flooded sites and the factors causing the disaster were identified and analyzed. The results show that the flood-inundation extent in the Poyang Lake region in 2020 is 1961.95 km2, including 760.54 km2 of farmland, 71.59 km2 of forest, 992.02 km2 of grassland, 26.97 km2 of soil, and 110.83 km2 of built-up land. Poyang County was most severely affected in this flood event, with a total inundated area of 514.35 km2. The next two are Xinjian County with 330 km2 and Yugan County with 310 km2. The main hydro-meteorological and topographical factors that caused the flood are considered to be: (1) higher water level than that in the 1998 flood; (2) failure of timely discharge of water due to backflow of the Yangtze River; (3) breach of the embankments. © 2022, Science Press. All right reserved.
Keyword ：
Disaster analysis Disaster analysis Flood Flood Land cover Land cover Landsat 8 Landsat 8 Poyang Lake Poyang Lake Precipitation Precipitation Remote sensing Remote sensing Sentinel-1A Sentinel-1A
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| GB/T 7714 | Duan, W. , Wen, X. , Xu, H. et al. Assessment and Analysis of the 2020 Poyang Lake Flood Hazard based on Optical and Radar Image Assisted Change Detection [基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析] [J]. | Journal of Geo-Information Science , 2022 , 24 (12) : 2435-2447 . |
| MLA | Duan, W. et al. "Assessment and Analysis of the 2020 Poyang Lake Flood Hazard based on Optical and Radar Image Assisted Change Detection [基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析]" . | Journal of Geo-Information Science 24 . 12 (2022) : 2435-2447 . |
| APA | Duan, W. , Wen, X. , Xu, H. , Deng, W. . Assessment and Analysis of the 2020 Poyang Lake Flood Hazard based on Optical and Radar Image Assisted Change Detection [基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析] . | Journal of Geo-Information Science , 2022 , 24 (12) , 2435-2447 . |
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利用遥感对地观测技术对2020年夏季鄱阳湖地区发生的洪水灾情进行评估和分析,分别选取Landsat 8卫星4月和Sentinel-1A雷达卫星7月的影像作为洪水发生前、后的影像,利用遥感专题信息提取、随机森林分类和变化检测技术揭示洪水淹没范围,以及被淹没的主要土地覆盖类型面积,同时结合水文气象和地形数据进行灾情和受灾原因分析.研究结果表明,鄱阳湖2020年洪灾的淹没面积为1961.95 km2,共造成区内110.83 km2建筑用地、760.54 km2耕地、71.59 km2林地、992.02 km2草地和26.97 km2裸地被淹,其中尤以鄱阳县受灾最为严重,其总受灾面积达到514 km2,其次为新建区与余干县,分别达到了330 km2和310 km2.持续2个月的强降雨使得鄱阳湖流域的水位超过了其1998年特大洪水的水位,加上长江水倒灌,湖区地势北高南低,积水不能及时排出,圩堤决口等诸多水文气象和地形因素造成了此次鄱阳湖的特大洪灾.
Keyword ：
Landsat 8 Landsat 8 Sentinel-1A Sentinel-1A 土地覆盖 土地覆盖 洪水 洪水 灾情分析 灾情分析 遥感 遥感 鄱阳湖 鄱阳湖 降水 降水
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| GB/T 7714 | 段伟芳 , 温小乐 , 徐涵秋 et al. 基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析 [J]. | 地球信息科学学报 , 2022 , 24 (12) : 2435-2447 . |
| MLA | 段伟芳 et al. "基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析" . | 地球信息科学学报 24 . 12 (2022) : 2435-2447 . |
| APA | 段伟芳 , 温小乐 , 徐涵秋 , 邓文慧 . 基于光学与雷达影像变化检测的2020年鄱阳湖洪灾评估与分析 . | 地球信息科学学报 , 2022 , 24 (12) , 2435-2447 . |
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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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To verify the positioning performance and reliability of multi-system combination Precise Point Positioning in landslide monitoring, we carried out a multi-system combination Precise Point Positioning calculation experiment on the monitoring data of a single landslide disaster area in Fujian Province. The coordinates of the monitoring points obtained by a continuously operating reference station and the monitoring station for static relative positioning were used as reference values. The GPS system was used as the standard system and the combined PPP solution mode of G/R/C, G/R/E and G/R/E/C was used to obtain the surface displacement of the landslide area. The research showed that multi-system combination PPP converges to the centimeter level in about 30 min. The average value of internal accordant precision was more than 1 mm after convergence, and that of the external accordant precision was more than 5 cm, which meets the centimeter-level accuracy requirements in rapid landslide deformation monitoring.
Keyword ：
deformation monitoring deformation monitoring landslide landslide multi-system combination multi-system combination precise point positioning precise point positioning
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| GB/T 7714 | Lin, Chen , Wu, Guanye , Feng, Xiaomin et al. Application of Multi-System Combination Precise Point Positioning in Landslide Monitoring [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (18) . |
| MLA | Lin, Chen et al. "Application of Multi-System Combination Precise Point Positioning in Landslide Monitoring" . | APPLIED SCIENCES-BASEL 11 . 18 (2021) . |
| APA | Lin, Chen , Wu, Guanye , Feng, Xiaomin , Li, Dingxing , Yu, Zhichao , Wang, Xuanwei et al. Application of Multi-System Combination Precise Point Positioning in Landslide Monitoring . | APPLIED SCIENCES-BASEL , 2021 , 11 (18) . |
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During the outbreak of the COVID-19, China implemented an urban lockdown in the first period. These measures not only effectively curbed the spread of the virus but also brought a positive impact on the ecological environment. The water quality of urban inland river has a significant impact on urban ecology and public health. This study uses Sentinel-2 visible and near-infrared band reflectance and the Normalized Difference Turbidity Index (NDTI) to analyze the water quality of the Haihe River Basin during the control period of COVID-19. It is found that during the lockdown period, the river water quality was significantly improved compared to the same period in 2019. The average NDTI of the Haihe River Basin in March decreased by 0.27, a decrease of 219.06%; in April, it increased by 0.07, that is 38.38%. Further exploration using VIIRS lights found that the brightness of the lights in the main urban area was significantly lower in February, the beginning of the lockdown. However, as the city was unblocked, the lights rose sharply in March and then recovered to normal. There is obvious asynchrony in changes between river turbidity and light. The results can help understand the impact of human activities on the natural environment.
Keyword ：
COVID-19 lockdown COVID-19 lockdown NDTI NDTI Sentinel-2 Sentinel-2 VIIRS VIIRS Water quality Water quality
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| GB/T 7714 | Chen, Xu , Chen, Wei , Bai, Yanbing et al. Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 29 (3) : 3702-3717 . |
| MLA | Chen, Xu et al. "Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 29 . 3 (2021) : 3702-3717 . |
| APA | Chen, Xu , Chen, Wei , Bai, Yanbing , Wen, Xiaole . Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 29 (3) , 3702-3717 . |
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该文通过对6种典型地物在无人机影像可见光波段的光谱特性分析,提出一种基于红、绿、蓝波段的可见光植被指数—超绿红蓝差分指数EGRBDI(excess green-red-blue difference index),并运用该植被指数与18种基于可见光波段的植被指数进行精度比较研究。研究表明,在利用均值和1倍标准差获得的区间范围内,EGRBDI各地类之间的信息无重叠交叉现象;该指数能对植被覆盖相对稀疏区域进行植被信息识别,其总体精度为97.67%,Kappa系数为0.941 5,较其他18种指数具有更好的植被信息识别能力。利用不同地物覆盖情况的3幅无人机影像作为数据源,对EGRBDI适用性和稳定性...
Keyword ：
光谱分析 光谱分析 可见光波段 可见光波段 无人机 无人机 植被 植被 超绿红蓝差分指数 超绿红蓝差分指数 遥感 遥感
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| GB/T 7714 | 高永刚 , 林悦欢 , 温小乐 et al. 基于无人机影像的可见光波段植被信息识别 [J]. | 农业工程学报 , 2020 , 36 (03) : 178-189 . |
| MLA | 高永刚 et al. "基于无人机影像的可见光波段植被信息识别" . | 农业工程学报 36 . 03 (2020) : 178-189 . |
| APA | 高永刚 , 林悦欢 , 温小乐 , 简文彬 , 龚应双 . 基于无人机影像的可见光波段植被信息识别 . | 农业工程学报 , 2020 , 36 (03) , 178-189 . |
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