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| 1 | MODIS-based Daily Lake Ice Extent and Coverage dataset for Tibetan Plateau显示文摘The Tibetan Plateau houses numerous lakes,the phenology and duration of lake ice in this region are sensitive to regional and global climate change,and as such are used as key indicators in climate change research,particularly in environment change comparison studies for the Earth three poles.However,due to its harsh natural environment and sparse population,there is a lack of conventional in situ measurement on lake ice phenology.The Moderate Resolution Imaging Spectroradiometer(MODIS)Normalized Difference Snow Index(NDSI)data,which can be traced back 20 years with a 500 m spatial resolution,were used to monitor lake ice for filling the observation gaps.Daily lake ice extent and coverage under clear-sky conditions was examined by employing the conventional SNOWMAP algorithm,and those under cloud cover conditions were re-determined using the temporal and spatial continuity of lake surface conditions through a series of steps.Through time series analysis of every single lake with size greater than 3 km2 in size,308 lakes within the Tibetan Plateau were identified as the effective records of lake ice extent and coverage to form the Daily Lake Ice Extent and Coverage dataset,including 216 lakes that can be further retrieved with four determinable lake ice parameters:Freeze-up Start(FUS),Freeze-up End(FUE),Break-up Start(BUS),and Break-up End(BUE),and 92 lakes with two parameters,FUS and BUE.Six lakes of different sizes and locations were selected for verification against the published datasets by passive microwave remote sensing.The lake ice phenology information obtained in this paper was highly consistent with that from passive microwave data at an average correlation coefficient of 0.91 and an RMSE value varying from 0.07 to 0.13.The present dataset is more effective at detecting lake ice parameters for smaller lakes than the coarse resolution passive microwave remote sensing observations.The published data are available in https://data.4tu.nl/repository/uuid:fdfd8c76-6b7c-4bbf-aec8-98ab199d9093 and http://www.sciencedb.cn/dataSet/handle/744. | Yubao Qiu Pengfei Xie Matti Leppäranta Xingxing Wang Juha Lemmetyinen Hui Lin Lijuan Shi | 2019 | Big Earth Data2019，3，2： | 7 |
| 2 | Effects of intercropping on rhizosphere soil microorganisms and root exudates of Lanzhou lily(Lilium davidii var.unicolor)显示文摘Both yield and quality of Lanzhou lily(Lilium davidii var. unicolor) are seriously affected by continuous cropping. We attempted to understand the effects of intercropping on the obstacles associated with continuous cropping of Lanzhou lily(Lilium davidii var. unicolor). The changes of rhizosphere microbial biomass and diversity in interplanting and monoculturing systems were studied by using the Illumina Hi Seq sequencing technique. The contents and composition of lily root exudates were measured by gas chromatography–mass spectrometer(GC–MS). The intercropping results of Lanzhou lily showed:(1) There was no difference in the composition of the rhizosphere soil microbes at the phylum level, but the relative abundance of the microbes decreased; and the relative abundance of harmful fungi such as Fusarium sp. increased. The relative abundance of Pleosporales sp. and other beneficial bacteria were reduced. After OTU(operational taxonomic unit)clustering, there were some beneficial bacteria, such as Chaetomium sp., in the lily rhizosphere soil in the interplanting system that had not existed in the single-cropping system. We did not find harmful bacteria that had existed in the single-cropping systm in the rhizosphere soil of interplanting system. The above results indicated that the changes of relative abundance of soil fungi and bacteria in lily rhizosphere soil was not conducive to improving the ecological structure of rhizosphere soil microbes. At the same time, the microbial composition change is very complex—beneficial and yet inadequate at the same time.(2) Root exudates provide a matrix for the growth of microorganisms. Combined with the detection of root exudates, the decrease in the composition of the root exudates of the lily was probably the reason for the decrease of the relative abundance of microbes after intercropping. At the same time, the decrease of the relative content of phenolic compounds, which inhibit the growth of microorganisms, did not increase the relative content of rhizosphere soil microorganisms. Changes in amino acids and total sugars may be responsible for the growth of Fusarium sp.. The results showed that the intercropping pattern did not noticeably alleviate the obstacle to continuous cropping of Lanzhou lily, and the change of microbial biomass and diversity was even unfavorable. However, the emergence of some beneficial bacteria, the disappearance of harmful fungi, and other changes with intercropping are in favor of alleviation of obstacles to continuous cropping of Lanzhou lily. | CuiPing Hua YaJun Wang ZhongKui Xie ZhiHong Guo YuBao Zhang Yang Qiu Le Wang | 2018 | Research in Cold and Arid Regions2018，10，2： | 5 |
| 3 | Application of microwave vegetation index in drought monitoring显示文摘 | WANG Yongqian SHI Jiancheng LIU Zhihong FENG Wenlan QIU Yubao | 2014 | 遥感学报2014，18，4： | 4 |
| 4 | Long-term records of glacier evolution and associated proglacial lakes on the Tibetan Plateau(1976‒2020)显示文摘The glaciers on the Tibetan Plateau(TP)constitute critical sources of water for the proglacial lakes and many rivers found downstream.To better understand the evolution of glaciers and the impact of this on proglacial lakes,seven glaciers corresponding to continenṅtal,sub-continental,and marine climate types that are influenced by wester-lies and the Indian summer monsoon were selected for study.The evolution of the edges of these glaciers and their associated progla-cial lakes were identified based on the visual interpretation of Landsat TM/ETM+/OLI images.A dataset covering the period 1976-2020 that included the glacier and proglacial lake edge vectors was then created.The relative errors in the areas of the individual glaciers were less than 3%,and for the proglacial lakes these errors were in the range 0%-7%.The dataset was used to effectively compare the changes in glaciers and proglacial lakes that have occurred over the past four decades.The most striking changes that were found were the retreat of glaciers and the formation of small proglacial lakes.This dataset could also be used as a proxy to support research on changes in mountain glaciers,particularly their response to climate change and water resources.This response is of great scientific significance and is important in many applications,including assessments of the ecological problems caused by melting glaciers.The dataset can be downloaded from http://doi.org/10.57760/sciencedb.j00076.00131. | Drolma Lhakpa Yubao Qiu Pa Lhak Lijuan Shi Maoce Cheng Bin Cheng | 2022 | Big Earth Data2022，6，4： | 3 |
| 5 | Snow effects on alpine vegetation in the Qinghai-Tibetan Plateau显示文摘Understanding the relationships between snow and vegetation is important for interpretation of the responses of alpine ecosystems to climate changes.The Qinghai-Tibetan Plateau is regarded as an ideal area due to its undisturbed features with low population and relatively high snow cover.We used 500 m Moderate Resolution Imaging Spectroradiometer(MODIS)datasets during 2001–2010 to examine the snow–vegetation relationships,specifically,(1)the influence of snow melting date on vegetation green-up date and(2)the effects of snow cover duration on vegetation greenness.The results showed that the alpine vegetation responded strongly to snow phenology(i.e.,snow melting date and snow cover duration)over large areas of the Qinghai-Tibetan Plateau.Snow melting date and vegetation green-up date were significantly correlated(p<0.1)in 39.9% of meadow areas(accounting for 26.2% of vegetated areas)and 36.7% of steppe areas(28.1% of vegetated areas).Vegetation growth was influenced by different seasonal snow cover durations(SCDs)in different regions.Generally,the December–February and March–May SCDs played a significantly role in vegetation growth,both positively and negatively,depending on different water source regions.Snow’s positive impact on vegetation was larger than the negative impact. | Kun Wang Li Zhang Yubao Qiu Lei Ji Feng Tian Cuizhen Wang Zhiyong Wang | 2015 | International Journal of Digital Earth2015，8，1： | 3 |
| 6 | A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing显示文摘Lake ice phenology(LIP)is an essential indicator of climate change and helps with understanding of the regional characteristics of climate change impacts.Ground observation records and remote sensing retrieval products of lake ice phenology are abundant for Europe,North America,and the Tibetan Plateau,but there is a lack of data for inner Eurasia.In this work,enhanced-resolution passive microwave satellite data(PMW)were used to investigate the Northern Hemisphere Lake Ice Phenology(PMW LIP).The Freeze Onset(FO),Complete Ice Cover(CIC),Melt Onset(MO),and Complete Ice Free(CIF)dates were derived for 753 lakes,including 409 lakes for which ice phenology retrievals were available for the period 1978 to 2020 and 344 lakes for which these were available for 2002 to 2020.Verification of the PMW LIP using ground records gave correlation coefficients of 0.93 and 0.84 for CIC and CIF,respectively,and the corresponding values of the RMSE were 11.84 and 10.07 days.The lake ice phenology in this dataset was significantly correlated(P<0.001)with that obtained from Moderate Resolution Imaging Spectroradiometer(MODIS)data-the average correlation coefficient was 0.90 and the average RMSE was 7.87 days.The minimum RMSE was 4.39 days for CIF.The PMW is not affected by the weather or the amount of sunlight and thus provides more reliable data about the freezing and thawing process information than MODIS observations.The PMW LIP dataset pro-vides the basic freeze-thaw data that is required for research into lake ice and the impact of climate change in the cold regions of the Northern Hemisphere.The dataset is available at http://www.doi.org/10.11922/sciencedb.j00076.00081. | Xingxing Wang Yubao Qiu Yixiao Zhang Juha Lemmetyinen Bin Cheng Wenshan Liang Matti Leppäranta | 2022 | Big Earth Data2022，6，4： | 2 |
| 7 | The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program显示文摘The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of China.However,climate change,air quality and related feedbacks are affecting the successful development of the environment and societies in the B&R geographical domain.The most urgent risks related to the atmospheric system,to the land system and to hydrospheric and cryospheric processes are changing climate-air quality interactions,air pollution,changing monsoon dynamics,land degradation,and the melting of Tibetan Plateau glaciers.A framework is needed in which a science and technology-based approach has the critical mass and expertise to identify the main steps toward solutions and is capable to implement this roadmap.The Pan-Eurasian Experiment(PEEX)program,initiated in 2012,aims to resolve science,technology and sustainability questions in the Northern Eurasian region.PEEX is now identifying its science agenda for the B&R region.One fundamental element of the PEEX research agenda is the availability of comprehensive ground-based observations together with Earth observation data.PEEX complements the recently launched international scientific program called Digital Belt and Road(DBAR).PEEX has expertise to coordinate the ground-based observations and initiate new flagship stations,while DBAR provides a big data platform on Earth observation from China and countries along the Belt and Road region.The DBAR and PEEX have joint interests and synergy expertise on monitoring on ecological environment,urbanization,cultural heritages,coastal zones,and arctic cold regions supporting the sustainable development of the Belt and Road region.In this paper we identify the research themes of the PEEX related Silk Road agenda relevant to China and give an overview of the methodological requirements and present the infrastructure requirements needed to carry out large scale research program. | Hanna K.Lappalainen Markku Kulmala Joni Kujansuu Tuukka Petaja Alexander Mahura Gerrit de Leeuw Sergej Zilitinkevich Merli Juustila Veli-Matti Kerminen Bob Bornstein Zhang Jiahua Xue Yong Qiu Yubao Liang Dong Liu Jie Guo Huadong | 2018 | Big Earth Data2018，2，1： | 2 |
| 8 | Constructing dataset of classified drainage areas based on surface water-supply patterns in High Mountain Asia显示文摘The High Mountain Asia(HMA)region,ranging from the Hindu Kush and Tien Shan in thewest totheHimalaya inthe southwith an altitude between 2000 and 8844 m,holds the largest reservoir of glaciers and snow outside Earth Polar Regions.In the last decades,numerous glaciers and lake areas there have undergone tremendous changes with water redistribution.In order to increase understanding of the pattern of distribution of water resources,and their dynamic changes at the basin scale,a watershed classification based on the water replenishment patterns dataset was constructed.The input dataset are from the Randolph Glacier Inventory V.6.0 and the vector data of rivers and streams.Four datasets were thus obtained:Glacier-fed and Runoff-fed Drainage Area(GRDA),Glacier-fed and Runoff-free Drainage Area(GDA),Glacier-free and Runoff-fed Drainage Area(RDA),and the Glacier-free and Runoff-free Drainage Area(NGRDA),and the numbers of these four types of basins are 87,107,32,and 448 separately.The statistical results show GRDA has the largest surface area,accounting for 82.2%of the total basin area in HMA,mainly in the region of the basin with outflow rivers or streams.Dominated by small basins,the GDA area accounts for the smallest area,only 3.86%and the RDA accounts for 5.62%.For NGRDA,most are with small areas,accounting for 8.32%,and mainly distributes in the closed basin of the Qiangtang Plateau.This dataset provides a fundamental classified data source for research on water resources,climate,ecology,and environment in HMA.The published data are available at https://data.4tu.nl/download/uuid:d07d748f-d10b-4308-9626-199ef05cc9af/and http://www.dx.doi.org/10.11922/sciencedb.923. | Jieyu Lu Yubao Qiu Xingxing Wang Wenshan Liang Pengfei Xie Lijuan Shi Massimo Menenti Dongshui Zhang | 2020 | Big Earth Data2020，4，3： | 2 |
| 9 | Satellite - based snow cover analysis and the snow water equivalent retrievM perspective over China显示文摘 | Qiu Yubao Guo Huadong Shi Jiancheng | 2012 | Remote Sensing of Planet Earth2012，，： | 1 |
| 10 | Observations and geophysical value-added datasets for cold high mountain and polar regions显示文摘The Earth’s cold regions,in particular,the Arctic,Antarctic,and High-Mountain Asia(HMA),are dominated by the changing cryosphere and have inherently fragile environ-ments(Guo,2018;Kulmala,2018;Guo et al.,2020;Li et al.,2020;Yao et al.,2022;Group on Earth Observations(GEO),2022).Warming has reshaped the regions where the cryo-sphere is located;it has also been affecting water availability in lowland downstream areas,opening up northern sea routes,and affecting the stability of roads and infrastruc-ture in permafrost rich areas(Pulliainen et al.,2019).Changes in the phase of water and its consequences have thus had a major impact on the environment and the lives of billions of people. | Yubao Qiu Hanna K.Lappalainen Tao Che Stein Sandven Tianjie Zhao | 2022 | Big Earth Data2022，6，4： | 1 |
| 11 | The Digital Belt and Road program in support of regional sustainability显示文摘The Belt and Road initiative has a significant focus on infrastructure,trade,and economic development across a vast region,and it also provides significant opportunities for sustainable development.The combined pressure of climate variability,intensified use of resources,and the fragility of ecosystems make it very challenging,however,to achieve future sustainability.To develop the path in a sustainable way,it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed approach.In this context,the Digital Belt and Road(DBAR)program was initiated as an international venture to share expertise,knowledge,technologies,and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale development.In this paper,we identify pressing challenges,present the research priorities and foci of the DBAR program,and propose solutions where big Earth data can make significant contributions.This paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national,regional and global levels. | Huadong Guo Jie Liu Yubao Qiu Massimo Menenti Fang Chen Paul F.Uhlir Li Zhang John van Genderen Dong Liang Ishwaran Natarajan Lanwei Zhu Jiuliang Liu | 2018 | International Journal of Digital Earth2018，11，7： | 1 |
| 12 | The influence of tree transmissivity variations in winter on satellite snow parameter observations显示文摘The ability to correct for the influence of forest cover is crucial for retrieval of surface geophysical parameters such as snow cover and soil properties from microwave remote sensing.Existing correction approaches to brightness temperatures for northern boreal forest regions consider forest transmissivity constant during wintertime.However,due to biophysical protection mechanisms,below freezing air temperatures freeze the water content of northern tree species only gradually.As a consequence,the permittivity of many northern tree species decreases with the decrease of air temperature under sub-zero temperature conditions.This results in a monotonic increase of the tree vegetation transmissivity,as the permittivity contrast to the surrounding air decreases.The influence of this tree temperature-transmissivity relationship on the performance of the frequency difference passive microwave snow retrieval algorithms has not been considered.Using ground-based observations and an analytical model simulation based on Mätzler’s approach(1994),the influence of the temperaturetransmissivity relationship on the snow retrieval algorithms,based on the spectral difference of two microwave channels,is characterized.A simple approximation approach is then developed to successfully characterize this influence(the RMSE between the analytical model simulation and the approximation approach estimation is below 0.3 K).The approximation is applied to spaceborne observations,and demonstrates the capacity to reduce the influence of the forest temperature-transmissivity relationship on passive microwave frequency difference brightness temperature. | Qinghuan Li Richard Kelly Juha Lemmetyinen Roger D.De Roo Jinmei Pan Yubao Qiu | 2021 | International Journal of Digital Earth2021，14，10： | 1 |
| 13 | Quaternary marine transgression and palaeoclimate in the Yangtze River delta region显示文摘 | Lin Jingxing Zhang Shanlin Qiu Jinbo Wu Biaoyun Huang Huanzhong Huang Huizhen Xi Jianguo Tang Baogen Cai Zuren He Yubao | | 0，，： | 1 |
| 14 | Quaternary marine transgressions and paleoclimate in the Yangtze River delta region显示文摘 | Lin Jingxing Zhang Shanlin Qiu Jinbo Wu Biaoyun Huang Huanzhong Xi Jianguo Tang Baogen Cai Zuren He Yubao | | 0，，03： | 1 |
| 15 | Parameterization of the freeze/thaw discriminant function algorithm using dense in-situ observation network data显示文摘The near-surface soil freeze–thaw(FT)transition is an important factor affecting land-atmosphere exchanges,hydrology and carbon cycles.Thus,effectively monitoring the temporal–spatial changes of soil FT processes is crucial to climate change and environment research.Several approaches have been developed to detect the soil FT state from satellite observations.The discriminant function algorithm(DFA)uses temperature and emissivity information from Advanced Microwave Scanning Radiometer Enhanced(AMSR-E)passive microwave satellite observations.Although it is well validated,it was shown to be insufficiently robust for all land conditions.In this study,we use in-situ observed soil temperature and AMSR-E brightness temperature to parameterize the DFA for soil FT state detection.We use the in-situ soil temperature records at 5 cm selected from available dense networks in the Northern Hemisphere as a reference.Considering the distinction between ascending and descending orbits,two different sets of parameters were acquired for each frequency pair.The validation results indicate that the overall discriminant accuracy of the new function can reach 90%.We further compared the Advanced Microwave Scanning Radiometer 2 discriminant results using the new function to the Soil Moisture Active Passive freeze/thaw product,and a reasonable consistency between them was found. | Pingkai Wang Tianjie Zhao Jiancheng Shi Tongxi Hu Alexandre Roy Yubao Qiu Hui Lu | 2019 | International Journal of Digital Earth2019，12，8： | 1 |
| 16 | Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series显示文摘 | Cuizhen Wang Huadong Guo Li Zhang Shuangyu Liu Yubao Qiu Zhongchang Sun | 2015 | International Journal of Biometeorology2015，，1： | 1 |
| 17 | Effect of slow-release iron fertilizer on iron-deficiency chlorosis, yield and quality of Lilium davidii var.unicolor in a two-year field experiment显示文摘Iron deficiency chlorosis of Lilium davidii var. unicolor is often the case in practice in alkaline soils of northwest region of China. It is difficult to control iron chlorosis because of high cost and short effective work time of conventional iron fertilizers. In this study, a 2-year field experiment was conducted to evaluate the effects of two slow-release fertilizers on the suppression of iron deficiency chlorosis, soil chemical properties, and the yield and quality of L. davidii var. unicolor. Results show that both coated slow-release iron fertilizers and embedded slow-release iron fertilizer effectively controlled iron-deficiency chlorosis. The application of slow-release iron fertilizers significantly increased plant height and chlorophyll content of L. davidii var. unicolor at different growth stages. Furthermore, coated iron fertilizer application significantly increased starch, protein, soluble sugar and vitamin C content of L. davidii var. unicolor, and it also significantly improved total amino acid content, with increases in essential amino acids(Trp, Leu, Lys, Phe, Val, and Thr contents) and in nonessential amino acids(Asp, Glu, Cit, Ihs, Acc, Ala, Pro, and Cys contents). It was concluded that application of coated slow-release iron fertilizer could be a promising option for suppression of iron deficiency chlorosis and deserves further study. | Yang Qiu ZhongKui Xie XinPing Wang YaJun Wang YuBao Zhang YuHui He WenMei Li WenCong Lv | 2018 | Research in Cold and Arid Regions2018，10，5： | 1 |
| 18 | Daily snow water equivalent product with SMMR,SSM/I and SSMIS from 1980 to 2020 over China显示文摘The reliable knowledge of seasonal snow volume and its trend is very important to understand Earth’s climate system.Thus,a long-time snow water equivalent(SWE)dataset is necessary.This work presents a daily SWE product of 1980-2020 with a linear unmixing method through passive microwave data including SMMR,SSM/I and SSMIS over China after cross-calibration and bias-correction.The unbiased root-mean-square error of snow depth is about 5-7 cm,corresponding to 10-15 mm for SWE,when compared with stations measurements and field snow course data.The spatial patterns and trends of SWE over China present significant regional differences.The overall slope trend presented an insignificant decreasing pattern during 1980-2020 over China;however,there is an obvious fluctuation,i.e.a significant decrease trend during the period 1980-1990,an upward trend from 2005 to 2009,a significant downward trend from 2009 to 2018.The increase of SWE occurred in the Northeast Plain,with an increase trend of 0.2 mm per year.Whereas in the Hengduan Mountains,it presented a downward trend of SWE,up to−0.3 mm per year.In the North Xinjiang,SWE has an increasing trend in the Junggar Basin,while it shows a decreasing trend in the Tianshan and Altai Mountains. | Lingmei Jiang Jianwei Yang Cheng Zhang Shengli Wu Zhen Li Liyun Dai Xiaofeng Li Yubao Qiu | 2022 | Big Earth Data2022，6，4： | 0 |
| 19 | Sustainable earth observations for the Arctic,the Antarctic and the high-altitude mountain cold regions显示文摘The Arctic,the Antarctic as well as the Qinghai-Tibet Plateau(QTP)are cold regions on Earth where snow and ice dominate the local environment and impact the global climate via several strong feedback mechanisms.The observations and information service for those cold regions are vital for the societal benefits,and support from the science to policy making(Qiu et al.2016).Earth cold regions exhibit strong sensitivity to global climate change and are thus some of the most fragile regions in terms of global ecology(Pulliainen et al.2017).Due to these inherent similarities,the Qinghai-Tibet Plateau area has been termed as the‘Third Pole’,which is experiencing profound environmental changes. | Jouni Pulliainen Bin Cheng Yubao Qiu | 2019 | International Journal of Digital Earth2019，12，8： | 0 |
| 20 | Snow depth and ice thickness derived from SIMBA ice mass balance buoy data using an automated algorithm显示文摘An ice mass balance buoy(IMB)monitors the evolution of snow and ice cover on seas,ice caps and lakes through the measurement of various variables.The crucial measurement of snow and ice thickness has been achieved using acoustic sounders in early devices but a more recently developed IMB called the Snow and Ice Mass Balance Array(SIMBA)measures vertical temperature profiles through the air-snow-ice-water column using a thermistor string.The determination of snow depth and ice thickness from SIMBA temperature profiles is presently a manual process.We present an automated algorithm to perform this task.The algorithm is based on heat flux continuation,limit ratio between thermal heat conductivity of snow and ice,and minimum resolution(±0.0625°C)of the temperature sensors.The algorithm results are compared with manual analyses,in situ borehole measurements and numerical model simulation.The bias and root mean square error between algorithm and other methods ranged from 1 to 9 cm for ice thickness counting 2%–7%of the mean observed values.The algorithm works well in cold condition but becomes less reliable in warmer conditions where the vertical temperature gradient is reduced. | Zeliang Liao Bin Cheng JieChen Zhao Timo Vihma Keith Jackson Qinghua Yang Yu Yang Lin Zhang Zhijun Li Yubao Qiu Xiao Cheng | 2019 | International Journal of Digital Earth2019，12，8： | 0 |
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