|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Analysis of Atmospheric Turbidity in Clear Skies at Wuhan,Central China显示文摘The?ngstr?m turbidity coefficient (β)and Linke turbidity factor(T_L)are used to study the atmospheric conditions in Wuhan,Central China,using measured direct solar radiation during 2010–2011 in this study.The results show that annual mean βvalues generally increase from 0.28 in the morning to 0.35 at noon,and then decrease to 0.1 in the late afternoon during the day;annual mean T_L generally varies from 3 to 7 in Central China.Both turbidity coefficients have maximum values in spring and summer,while minimum values are observed in winter months.It also reveals that β values show preponderance(52.8%)between 0.15 and 0.35,78.1%of T_L values are between 3.3 and 7.7,which can be compared with other sites around the world.Relationship between turbidity coefficients and main meteorological parameters(humidity,temperature and wind direction)have been further investigated,it is discovered that the local aerosol concentrations,dust events in northern China and Southwest Monsoon from the Indian Ocean influences the β values in the study area. | Lunche Wang Yisen Chen Ying Niu German Ariel Salaza Wei Gong | 2017 | Journal of Earth Science2017，28，4： | 2 |
| 2 | Measurement and estimation of photosynthetically active radiation from 1961 to 2011 in Central China显示文摘 | Lunche Wang Wei Gong Chen Li Aiwen Lin Bo Hu Yingying Ma | 2013 | Applied Energy2013，，： | 1 |
| 3 | Variation of water body in Dongting Lake from in situ measurements and MODIS observations in recent decades显示文摘Identifying the spatiotemporal dynamics of the water body in Dongting Lake,the second largest freshwater lake in China,is crucial for water resource management.In this study,the variations of the water body were comprehensively analyzed based on remote sensing images and in situ measurements from 2000 to 2019.Four breakpoint detection approaches were integrated to analyze the change trends and explore the related driving forces behind the changes.The results showed that significant intra-and inter-annual fluctuations of the water body were found from 2000 to 2019.The water area and volume decreased at rates of 1.26 km^(2)/a and 16.65×10^(6)m^(3)/a,respectively.During the entire study period,the outflow at Chenglingji station(CLJ),the inflow from three outlets of the Yangtze River(Inflow2),and the inundation conditions during the last period(Arealag)made the largest relative contributions to the water area variation(around 25%,27%and 24%,respectively).A breakpoint was detected around 2004,corresponding to the operation period of the Three Gorges Dam(TGD).The regulation of TGD profoundly affected the hydrological characteristics at the three outlets and CLJ,and may have indirectly caused the water area to expand by 2.41 km^(2)/a during the dry seasons between 2004 and 2019.These results provide valuable insight into how natural and anthropogenic factors affect water body variation and may offer a practical reference for the local government to adjust management strategies. | Liu Yang Lunche Wang Ming Zhang Zigeng Niu Rui Yao Deqing Yu Chang’an Li Qiuhua He | 2021 | International Journal of Digital Earth2021，14，8： | 1 |
| 4 | Evaluating the Monthly and Interannual Variation of Net Primary Production in Response to Climate in Wuhan During 2001 to 2010显示文摘 | Gong Wei Wang Lunche Lin Aiwen | | 0，，03： | 1 |
| 5 | Evalu- ating the Monthly and Interannual Variation of Net Primary Production in Response to Climate in Wu- han During 2001 to 2010显示文摘 | Gong Wei Wang Lunche Lin Aiwen | 2012 | Geosciences Journal2012，16，3： | 1 |
| 6 | Photosynthetically active radiation and its relationship with global solar radiation inCentral China显示文摘 | Wang Lunche Gong Wei Ma Yingying | 2014 | International Journal of Biometeorology2014，58，12： | 1 |
| 7 | Global DEMs vary from one to another:an evaluation of newly released Copernicus,NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data显示文摘A good understanding of the quality of digital elevation model(DEM)is a perquisite for various applications.This study investigates the accuracy of three most recently released 1-arcsec global DEMs(GDEMs,Copernicus,NASA and AW3D30)in five selected terrains of China,using more than 240,000 high-quality ICESat-2(Ice,Cloud and land Elevation Satellite)ALT08 points.The results indicate the three GDEMs have similar overall vertical accuracy,with RMSE of 6.73(Copernicus),6.59(NASA)and 6.63 m(AW3D30).While the accuracy varies considerably over study areas and among GDEMs.The results show a clear correlation between the accuracy and terrain slopes,and some relationship between the accuracy and land covers.Our analysis reveals the land cover exerts a greater impact on the accuracy than that of the terrain slope for the study area.Visual inspections of terrain representation indicate Copernicus DEM exhibits the greatest detail of terrain,followed by AW3D30,and then by NASADEM.This study has demonstrated that ICESat-2 altimetry offers an important tool for DEM assessment.The findings provide a timely and comprehensive understanding of the quality of newly released GDEMs,which are informative for the selection of suitable DEMs,and for the improvement of GDEM in future studies. | Hui Li Jiayang Zhao Bingqi Yan Linwei Yue Lunche Wang | 2022 | International Journal of Digital Earth2022，15，1： | 1 |
| 8 | Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information显示文摘Leaf pigments are critical indicators of plant photosynthesis,stress,and physiological conditions.Inversion of radiative transfer models(RTMs)is a promising method for robustly retrieving leaf biochem-ical traits from canopy observations,and adding prior information has been effective in alleviating the“ill-posed”problem,a major challenge in model inversion.Canopy structure parameters,such as leaf area index(LAI)and average leaf inclination angle(ALA),can serve as prior information for leaf pigment retrie-val.Using canopy spectra simulated from the PROSAIL model,we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll(C _(ab))and car-otenoid(C_(ar)).The retrieval accuracies of the two pigments were increased by use of the priors of LAI(RMSE of C_(ab) from 7.67 to 6.32μg cm^(-2),C_(ar) from 2.41 to 2.28μg cm^(-2))and ALA(RMSE of C_(ab) from 7.67 to 5.72μg cm^(-2),C_(ar) from 2.41 to 2.23μg cm^(-2)).However,this improvement deteriorated with an increase of additive and multiplicative uncertainties,and when 40% and 20% noise was added to LAI and ALA respectively,these priors ceased to increase retrieval accuracy.Validation using an experimental winter wheat dataset also showed that compared with C_(ar),the estimation accuracy of C_(ab) increased more or deteriorated less with uncertainty in prior canopy structure.This study demonstrates possible limita-tions of using prior information in RTM inversions for retrieval of leaf biochemistry,when large uncer-tainties are present. | Jia Sun Lunche Wang Shuo Shi Zhenhai Li Jian Yang Wei Gong Shaoqiang Wang Torbern Tagesson | 2022 | The Crop Journal2022，10，5： | 1 |
| 9 | Evaluation of satellite land surface albedo products over China using ground-measurements显示文摘Land surface albedo(LSA)is an important parameter in surface energy balance and global climate change.It has been used in the fields of energy budgets,climate dynamics,and land surface processes.To apply satellite LSA products more widely,the product accuracy needs to be evaluated at different scales and under atmospheric and surface conditions.This study validates and analyzes the errors of the LSA datasets from the Global LAnd Surface Satellites(GLASS)product,the European Space Agency’s Earth Observation Envelope Programme(GlobAlbedo),the Quality Assurance for Essential Climate Variables(QA4ECV)project,the Gap-filled Snow-free Bidirectional Reflectance Distribution Function(BRDF)parameters product(MCD43GF),and the Satellite Application Facility on Climate Monitoring(CM SAF)Albedo dataset from the AVHRR data(CLARA-SAL)against the Chinese Ecosystem Research Network(CERN)measurements at different spatiotemporal scales over China from 2005 to 2015.The results show that LSA estimated by GLASS agrees well with the CERN measurements on a continental scale.The GLASS product is characterized by a correlation coefficient of 0.80,a root-mean-square error of 0.09,and a mean absolute error of 0.06.The consistency between GLASS,GlobAlbedo,and CLARA-SAL is slightly lower over the regions with high aerosol optical depth(AOD)(e.g.Sichuan Basin,northern China)and high cloud cover compared with that in regions with lower AOD and low cloud cover.The estimation errors are related to varying atmospheric and surface conditions and increase with increasing AOD and cloud cover and decreasing enhanced vegetation index.Therefore,algorithms under complex atmospheric and surface conditions(e.g.high AOD,sparse vegetation)should be optimized to improve the accuracy of LSA products. | Yunbo Lu Lunche Wang Bo Hu Ming Zhang Wenmin Qin Jiaojiao Zhou Minghui Tao | 2021 | International Journal of Digital Earth2021，14，11： | 0 |
| 10 | A new vegetation index combination for leaf carotenoid-tochlorophyll ratio: minimizing the effect of their correlation显示文摘The ratio of leaf carotenoid to chlorophyll(Car/Chl)is an indicator of vegetation photosynthesis,development and responses to stress.However,the correlation between Car and Chl,and their overlapping absorption in the visible spectral domain pose a challenge for optical remote sensing of their ratio.This study aims to investigate combinations of vegetation indices(VIs)to minimize the influence of Car-Chl correlation,thus being more sensitive to the variability in the ratio across vegetation species and sites.VIs sensitive to Car and Chl variability were combined into four candidates of combinations,using a simulated dataset from the PROSPECT model.The VI combinations were then tested using six simulated datasets with different Car-Chl correlations,and evaluated against four independent datasets.The ratio of the carotenoid triangle ratio index(CTRI)with the red-edge chlorophyll index(CIred-edge)was found least influenced by the Car-Chl correlation and demonstrated a superior ability for estimating Car/Chl variability.Compared with published VIs and two machine learning algorithms,CTRI/CIred-edge also showed the optimal performance in the fourfield datasets.This new VI combination could be useful to provide insights in spatiotemporal variability in the leaf Car/Chl ratio,applicable for assessing vegetation physiology,phenology,and response to environmental stress. | Chunmei He Jia Sun Yuwen Chen Lunche Wang Shuo Shi Feng Qiu Shaoqiang Wang Torbern Tagesson | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 11 | A detailed comparison of MYD11 and MYD21 land surface temperature products in China's Mainland显示文摘Land surface temperature(LST)is a key parameter in land surface system.The National Aeronautics and Space Administration(NASA)recently released new Moderate Resolution Imaging Spectroradiometer(MODIS)LST products(MOD21 and MYD21).Here,we conducted a detailed comparison between the MYD11 and MYD21 LST data in China's Mainland.The LSTs of MYD21 were approximately 1℃ higher than those of MYD11 averaged for China's Mainland,as MYD21 corrected the cold bias of MYD11.The proportions of the valid value of MYD21 were generally lower than those of MYD11 because the cloud removal method of MYD21 was stricter than that of MYD11.Furthermore,the outliers were less significant in MYD11 than in MYD21 because the outliers in MYD11 were removed using temporal constraints on LST.The outliers in MYD21A2 resulted in a difference of greater than 3℃ in average seasonal surface urban heat island intensity(SUHII)between MYD11A2 and MYD21A2.Finally,using MYD11 may underestimate the slope of long-term trends of SUHII.MYD21 LST data may have some uncertainties in urban areas.This study provided a reference for users for selecting LST products and for data producers to further improve MODIS LST products. | Rui Yao Lunche Wang Shaoqiang Wang Lizhe Wang Jing Wei Junli Li Deqing Yu | 2020 | International Journal of Digital Earth2020，13，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员