Query：
学者姓名：王前锋
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
This study evaluates the comparative performance of spatiotemporal fusion and time-series fitting methods for constructing high-spatiotemporal-resolution remote sensing time-series data. Due to in-class similarity of fusion methods and fitting methods, we employ the Fit-FC (Fitting, spatial Filtering, and residual Compensation) model as a representative fusion method and the linear harmonic fitting model as a representative fitting method. Both Fit-FC and the linear harmonic fitting are widely used for high-spatiotemporal-resolution time-series data construction, and we modify the original Fit-FC model to enable automatic time-series fusion. To ensure data representativeness, we use 3 years (2019-2021) of Harmonized Landsat and Sentinel-2 surface reflectance datasets and Terra MCD43A4 products. Eight experimental regions are selected worldwide to guarantee generalization of the comparative performance between fusion and fitting methods, covering diverse land-use types (cropland, developed land, forest, and grassland) and varying climatological conditions. Time-series of NDVI and surface reflectance are analyzed under both actual observations and simulated data-missing scenarios. The constructed time-series data reveals that (1) the modified Fit-FC and linear harmonic fitting model achieve excellent performance in constructing high-resolution time-series images; (2) the fusion method outperforms the fitting method in constructing time-series of NDVI and surface reflectance images in cropland-, forest-, and grassland-dominated regions; (3) both methods achieve comparable performance in developed-dominated regions; (4) the fusion method is more robust to missing data, and better captures abrupt phenological transitions under conditions of continuous missing data; (5) the fitting method is computationally more efficient, making it suitable for large-scale time-series image reconstruction. This study provides valuable insights for selecting optimal strategies to generate high-resolution time-series images across diverse application scenarios and lays a foundation for extensions to other vegetation indices or land surface variables.
Keyword ：
harmonic fitting harmonic fitting remote sensing data remote sensing data Spatiotemporal fusion Spatiotemporal fusion time series construction time series construction
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Tang, Jia , Bento, Virgilio A. , Hao, Dalei et al. Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations [J]. | GISCIENCE & REMOTE SENSING , 2025 , 62 (1) . |
| MLA | Tang, Jia et al. "Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations" . | GISCIENCE & REMOTE SENSING 62 . 1 (2025) . |
| APA | Tang, Jia , Bento, Virgilio A. , Hao, Dalei , Zeng, Yelu , Guo, Pengcheng , Chen, Yu et al. Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations . | GISCIENCE & REMOTE SENSING , 2025 , 62 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Drought is one of the most complicated natural hazards and is among those that pose the greatest socioeconomic risks. How long-term climate change on a large scale affects different types of drought has not been well understood. This study aimed to enhance comprehension of this critical issue by integrating the run theory for drought identification, Mann-Kendall trend analysis, and partial correlation attribution methods to analyze global drought dynamics in 1901-2018. Methodological innovations include: (1) a standardized drought severity metric enabling cross-typology comparisons; and (2) quantitative separation of precipitation and temperature impacts. Key findings reveal that socioeconomic drought severity exceeded meteorological, agricultural, and hydrological droughts by 350.48%, 47.80%, and 14.40%, respectively. Temporal analysis of Standardized Precipitation Evapotranspiration Index (SPEI) trends demonstrated intensification gradients: SPEI24 (- 0.09 slope/100 yr) > SPEI01 (- 0.088/100 yr) > SPEI06 (- 0.087/100 yr) > SPEI12 (- 0.086/100 yr). Climate drivers exhibited distinct patterns, with precipitation showing stronger partial correlations across all drought types (meteorological: 0.78; agricultural: 0.76; hydrological: 0.60; socioeconomic: 0.39) compared to temperature (meteorological: - 0.45; agricultural: - 0.38; hydrological: - 0.27; socioeconomic: - 0.18). These results quantitatively establish a hierarchical climate response gradient among drought types. The framework advances drought typology theory through three original contributions: (1) systematic quantification of cross-typology drought severity disparities; (2) precipitation-temperature influence partitioning across drought types; and (3) identification of socioeconomic drought as the most climate-decoupled yet fastest-intensifying type. This study refined drought typological theories and provides a methodological foundation for climate-resilient drought management planning.
Keyword ：
Climate change Climate change Drought severity Drought severity Global scale Global scale Multi-type drought Multi-type drought Various vegetation zones Various vegetation zones
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Qianfeng , Yang, Xiaofan , Qu, Yanping et al. Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901-2018 [J]. | INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE , 2025 , 16 (2) : 291-306 . |
| MLA | Wang, Qianfeng et al. "Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901-2018" . | INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE 16 . 2 (2025) : 291-306 . |
| APA | Wang, Qianfeng , Yang, Xiaofan , Qu, Yanping , Qiu, Han , Wu, Yiping , Qi, Junyu et al. Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901-2018 . | INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE , 2025 , 16 (2) , 291-306 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
With the increasing impacts of global climate change and the continuous expansion of the population, the scarcity of food and water resources, along with the protection of agricultural land, have become significant constraints to sustainable agricultural development. Terraces plays a vital role in controlling water loss and promoting sustainable agriculture, and they have been widely adopted across the globe. Using CiteSpace, this study conducted a bibliometric review of the literature on the application of remote sensing and GISs in terrace studies under global climate change. The dataset included publications from the Web of Science spanning the years 1992 to 2024. Based on a systematical analysis of 508 publications, we investigated major institutions, cross-author collaborations, keyword co-occurrences, and the evolution of the research focus areas regarding the applications of remote sensing and GISs in terrace studies. The results show that the prominent research themes in this domain include remote sensing, erosion, and climate change. China (132, 26%) and the United States (108, 21%) are the top contributors in terms of publication numbers, while European countries and institutions are more active in collaborative efforts. The research emphasis has transitioned from analyzing the environmental characteristics of terraces to a broader consideration of ecological factors and multi-scenario applications. Moreover, analyses of the keyword co-occurrence and temporal trends indicate a rising interest in the application of machine learning, deep learning, and luminescence dating in terrace studies. Moving forward, it is essential to advance the deployment of automated monitoring systems, obtain long-term continuous monitoring data, encourage the adoption of conservation agriculture technology, and strengthen early warning networks for extreme climate events in terrace research. Overall, this study underscores the importance of interdisciplinary approaches and collaborative efforts to address the myriad challenges faced by terraced agriculture in an era of rapid environmental change.
Keyword ：
agricultural landscapes agricultural landscapes environmental effects environmental effects machine leaning machine leaning technological innovations technological innovations
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Du, Xuan , Yang, Guozhong , Yuan, Haihong et al. Bibliometric Insights into Terracing Effects on Water Resources Under Climate Change: Advances in Remote Sensing and GIS Applications [J]. | WATER , 2025 , 17 (8) . |
| MLA | Du, Xuan et al. "Bibliometric Insights into Terracing Effects on Water Resources Under Climate Change: Advances in Remote Sensing and GIS Applications" . | WATER 17 . 8 (2025) . |
| APA | Du, Xuan , Yang, Guozhong , Yuan, Haihong , Wu, Yuexi , Lv, Ziji , Du, Can et al. Bibliometric Insights into Terracing Effects on Water Resources Under Climate Change: Advances in Remote Sensing and GIS Applications . | WATER , 2025 , 17 (8) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Dust aerosols significantly impact climate, human health, and ecosystems, but how land cover changes (LCC) influence dust concentrations remains unclear. Here, we applied the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to assess the effects of LCC on dust aerosol concentrations from 2000 to 2020 in northern China. Based on land cover data derived from multi-source satellite remote sensing data, we conducted two simulation scenarios: one incorporating actual annual LCC and another assuming static land cover since 2000. Results revealed that approximately 293,300 km2 of land underwent conversion over the past 20 years. LCC generally resulted in an average annual reduction of 5.70 mu g kg-1 (micrograms per kilogram of dry air) in dust aerosol concentrations. The most significant reduction occurred in winter, averaging 8.90 mu g kg-1, followed by spring (8.06 mu g kg-1), autumn (5.27 mu g kg-1), and summer (1.06 mu g kg-1). Converting bare land to forestland was most effective in reducing dust concentrations, followed by conversions to grassland and built-up areas. Conversely, conversions to bare land increased dust aerosol concentrations, especially when forestland or cultivated land was transformed into bare land. These results emphasize the importance of targeted land use strategies to mitigate the adverse environmental and health effects of dust aerosols.
Keyword ：
Air pollution Air pollution Dust concentrations Dust concentrations Dust emissions Dust emissions Land use change Land use change WRF-Chem WRF-Chem
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Xian , Min, Ruiqi , Zhang, Haopeng et al. Land cover changes reduce dust aerosol concentrations in Northern China (2000-2020) [J]. | ENVIRONMENTAL RESEARCH , 2025 , 268 . |
| MLA | Liu, Xian et al. "Land cover changes reduce dust aerosol concentrations in Northern China (2000-2020)" . | ENVIRONMENTAL RESEARCH 268 (2025) . |
| APA | Liu, Xian , Min, Ruiqi , Zhang, Haopeng , Wang, Qianfeng , Song, Hongquan . Land cover changes reduce dust aerosol concentrations in Northern China (2000-2020) . | ENVIRONMENTAL RESEARCH , 2025 , 268 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Extreme weather events are occurring more frequently and becoming increasingly unpredictable amid climate change. Low-temperature events (LTEs), in particular, exhibit dynamic variations across different regions and environments. Using a single threshold to define LTEs can be limiting, so this study considered nine distinct LTE types, characterized by varying consecutive day counts and percentile thresholds, to uncover their spatiotemporal patterns and dynamics. Furthermore, the correlation between LTEs and climate factors is assessed across distinct climatic regions in China. The results reveal that: the spatial distribution and overall dynamics of different LTEs are largely consistent, with higher frequency and longer duration observed in the Xinjiang region; the frequency and duration of various LTEs exhibit a declining trend across most regions, and minimum temperatures during LTEs demonstrate a decreasing trend in arid regions, juxtaposed with an increasing trend observed in cold zones. The threshold definition method using minimum temperatures below the 10th percentile for at least three consecutive days best characterizes LTEs in China. Additionally, LTEs show a strong correlation with longwave radiation. This study offers valuable quantitative insights for managing and responding to extreme weather events in the context of climate change.
Keyword ：
Climate change Climate change Climate factors Climate factors Longwave radiation Longwave radiation Low temperature events Low temperature events Minimum temperature Minimum temperature
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Chen, Huixia , Qiu, Han , Bento, Virgilio A. et al. Representing low temperature events and uncovering their dynamics in China between 1979 and 2018 amid climate change [J]. | CLIMATE DYNAMICS , 2025 , 63 (2) . |
| MLA | Chen, Huixia et al. "Representing low temperature events and uncovering their dynamics in China between 1979 and 2018 amid climate change" . | CLIMATE DYNAMICS 63 . 2 (2025) . |
| APA | Chen, Huixia , Qiu, Han , Bento, Virgilio A. , Wang, Qianfeng . Representing low temperature events and uncovering their dynamics in China between 1979 and 2018 amid climate change . | CLIMATE DYNAMICS , 2025 , 63 (2) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30 degrees N from 1982 to 2014, focusing on two-season vegetation phenology. We examined the response of vegetation phenology of different vegetation types to preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum temperature (Tmax), and minimum temperature (Tmin). Our findings reveal that the optimal preseason influencing vegetation phenology length fell within the range of 0-60 days in most areas. Specifically, SOS exhibited a significant negative correlation with Tmax and Tmin in 44.15% and 42.25% of the areas, respectively, while EOS displayed a significant negative correlation with SR in 49.03% of the areas. Additionally, we identified that RH emerged as the dominant climatic factor influencing the phenology of savanna (SA), whereas temperature strongly controlled the SOS of deciduous needleleaf forest (DNF) and deciduous broadleaf forest (DBF). Meanwhile, the EOS of DNF was primarily influenced by Tmax. In conclusion, this study provides valuable insights into how various vegetation types adapt to climate change, offering a scientific basis for implementing effective vegetation adaptation measures.
Keyword ：
Climate change Climate change Phenology Phenology Preseason Preseason Vegetation Vegetation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Qianfeng , Chen, Huixia , Xu, Feng et al. Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| MLA | Wang, Qianfeng et al. "Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes" . | SCIENTIFIC REPORTS 14 . 1 (2024) . |
| APA | Wang, Qianfeng , Chen, Huixia , Xu, Feng , Bento, Virgilio A. , Zhang, Rongrong , Wu, Xiaoping et al. Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes . | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The future state of drought in China under climate change remains uncertain. This study investigates drought events, focusing on the region of China, using simulations from five global climate models (GCMs) under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating in the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). The daily Standardized Precipitation Evapotranspiration Index (SPEI) is employed to analyze drought severity, duration, and frequency over three future periods. Evaluation of the GCMs' simulations against observational data indicates their effectiveness in capturing historical climatic change across China. The rapid increase in CO2 concentration under high-emission scenarios in the mid- and late-future century (2040-2070 and 2071-2100) substantially influences vegetation behavior via regulation on leaf stomata and canopy structure. This regulation decelerates the increase in potential evapotranspiration, thereby mitigating the sharp rise in future drought occurrences in China. These findings offer valuable insights for policymakers and stakeholders to develop strategies and measures for mitigating and adapting to future drought conditions in China.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Xu, Feng , Qu, Yanping , Bento, Virgilio A. et al. Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6 [J]. | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| MLA | Xu, Feng et al. "Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6" . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE 7 . 1 (2024) . |
| APA | Xu, Feng , Qu, Yanping , Bento, Virgilio A. , Song, Hongquan , Qiu, Jianxiu , Qi, Junyu et al. Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6 . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Amidst the escalating impacts of global warming, the occurrence and severity of compound extreme weather events have risen significantly, presenting substantial threats to both lives and property. Existing response strategies predominantly focus on individual events, often overlooking the cumulative effects rising from their inherent complexity. To address this critical gap, we conducted a thorough examination of sequential extreme precipitation-heatwave compound events (SEPHCE) in China from 1975 to 2020, utilizing data from 1929 meteorological stations. Our investigation revealed a consistent rise in the frequency and duration of SEPHCE, with a particularly notable surge since 1993. Furthermore, shorter interval events disproportionately affected the regions of southwestern and southeast coastal China. Furthermore, SEPHCE onset times exhibited advancement, and the endings were delayed, thereby intensifying the overall trend. These findings underscore the pressing need to prioritize effective planning and adaptation strategies to mitigate the impact of these compound event, while also addressing the potential exacerbation of inequality resulting from climate change.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Miao, Lijuan , Ju, Lei , Sun, Shao et al. Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China [J]. | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| MLA | Miao, Lijuan et al. "Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China" . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE 7 . 1 (2024) . |
| APA | Miao, Lijuan , Ju, Lei , Sun, Shao , Agathokleous, Evgenios , Wang, Qianfeng , Zhu, Zhiwei et al. Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Land use and land cover change (LUCC) can alter surface properties, such as albedo, roughness, and vegetation coverage, directly affecting dust emissions and aerosol concentrations, leading to variations in direct radiative forcing (DRF) of dust aerosols and consequently impacting the climate. This study utilized the Weather Research and Forecasting model with Chemistry (WRF-Chem) to quantify the impact of LUCC in northern China from 2000 to 2020 on dust aerosol DRF. Results indicated that LUCC's influence on shortwave radiative forcing of dust was significantly greater than its influence on longwave radiative forcing and exhibited obvious seasonal variations. Overall, LUCC can cause net direct radiative forcing to increase by 5.3 W m- 2 at the surface and decrease by 7.8 W m- 2 in the atmosphere. Different types of LUCC transformation showed distinct impacts on dust aerosol DRF, with the conversion from sparse vegetation to barren land had the most significant effect on net radiative intensity, resulting in a decrease of 8.1 W m- 2 at the surface, an increase of 12.2 W m- 2 in the atmosphere, and an increase of 4.1 W m- 2 at the top of the atmosphere. Conversely, the conversion from barren land to sparse vegetation led to surface cooling and atmospheric warming. These findings are of great significance for enhancing our knowledge of the effects of LUCC on the radiative balance of dust aerosols.
Keyword ：
China China Climate Climate Direct radiative forcing Direct radiative forcing Dust aerosol Dust aerosol LUCC LUCC WRF-Chem WRF-Chem
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Weijiao , Song, Hongquan , Min, Ruiqi et al. LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 368 . |
| MLA | Wang, Weijiao et al. "LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 368 (2024) . |
| APA | Wang, Weijiao , Song, Hongquan , Min, Ruiqi , Wang, Qianfeng , Qi, Minghui . LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 368 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
利用劈窗算法反演福清核电站及周围水体表面温度,并与榕海Ⅱ号和筶杯岛实测数据进行对比验证,分析温排水对周边水域温度的影响,并研究水温的时序变化和空间分布特征.研究结果表明:1)遥感数据反演结果与实测数据的拟合效果良好,R2=0.94,呈显著的线性回归关系.2)通过反演得到的两个站点水温数据呈现相似的波动和年变化特征,整体表现为稳定的上升趋势.榕海Ⅱ号站点的升温趋势更为明显,筶杯岛站点的波动幅度更大.3)福清核电站排水口周边水域的温度与温度升高的时空差异显著,存在明显分异现象,距离排水口越近的水域温度和温度升高级别越高.其中,夏季和秋季受温排水影响范围和程度最大.研究结果为核电站温排水的监测、评估及合理排放提供理论支撑,对有效避险潜在安全危害,减轻生态环境破坏具有重要意义.
Keyword ：
MODIS MODIS 劈窗算法 劈窗算法 温排水监测 温排水监测 遥感反演 遥感反演
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 曾心蕊 , 黄聚聪 , 林明贵 et al. 基于遥感反演的福清核电站周边水体表面温度的时空特征 [J]. | 亚热带资源与环境学报 , 2024 , 19 (4) : 155-163 . |
| MLA | 曾心蕊 et al. "基于遥感反演的福清核电站周边水体表面温度的时空特征" . | 亚热带资源与环境学报 19 . 4 (2024) : 155-163 . |
| APA | 曾心蕊 , 黄聚聪 , 林明贵 , 万玲玲 , 王前锋 . 基于遥感反演的福清核电站周边水体表面温度的时空特征 . | 亚热带资源与环境学报 , 2024 , 19 (4) , 155-163 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
