《Big Earth Data》

作品数：206被引量：291H指数：9
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《Big Earth Data》
主办单位：国际数字地球协会;中国科学院遥感与数字地球研究所；中国科技出版传媒股份有限公司
最新期次：2024年3期更多>>
发文主题：BIGEARTHDATADATASETSUSTAINABLE_DEVELOPMENT更多>>
发文领域：自动化与计算机技术天文地球经济管理农业科学更多>>
发文基金：国家自然科学基金上海市自然科学基金更多>>
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Time-first approach for land cover mapping using big Earth observation data time-series in a data cube-a case study from the Lake Geneva region(Switzerland)
《Big Earth Data》2024年第3期435-466,共32页Gregory Giuliani 
funded by the Data Science Impulse grant of the University of Geneva.
Accurate,consistent,and high-resolution Land Use&Cover(LUC)information is fundamental for effectively monitoring landscape dynamics and better apprehending drivers,pressures,state,and impacts on land systems.Neverthel...
关键词：Land cover Sentinel-2 timeseries SITS Arealstatistik 
Time series analysis of L-band PALSAR-2 images in Istanbul and Kocaeli,Turkey
《Big Earth Data》2024年第3期467-493,共27页Sadra Karimzadeh Abdullah Can Zulfikar Masashi Matsuoka 
funded by the TUBITAK#2221 project and the University of Tabriz,and the Japanese Society for the Promotion of Science(JSPS)Grants-in-Aid for Scientific Research(KAKENHI);grant number#23H01654。
ABSTRACT Conducting long measurements of infrastructure deformation is a critical engineering task.Conventional methods are both timeconsuming and expensive,limiting their use for large-scale applica-tions.The synergy...
关键词：InSAR time series PALSAR-2 SAR intensity infrastructure deformation 
Long-term(2013-2022)mapping of winter wheat in the North China Plain using Landsat data:classification with optimal zoning strategy
《Big Earth Data》2024年第3期494-521,共28页Yifei Liu Xuehong Chen Jin Chen Yunze Zang Jingyi Wang Miao Lu Liang Sun Qi Dong Bingwen Qiu Xiufang Zhu 
supported by the National Key Research and Development Program of China[No.2022YFD2001100 and No.2017YFD0300201].
Long-term mapping of winter wheat is vital for assessing food security and formulating agricultural policies.Landsat data are the only available source for long-term winter wheat mapping in the North China Plain due t...
关键词：Winter wheat mapping LANDSAT machine learning North China Plain optimal zoning 
GEOSatDB:global civil earth observation satellite semantic database
《Big Earth Data》2024年第3期522-539,共18页Ming Lin Meng Jin Juanzi Li Yuqi Bai 
supported by the Major Program of the National Natural Science Foundation of China[42090015].
Satellite remote sensing,characterized by extensive coverage,fre-quent revisits,and continuous monitoring,provides essential data support for addressing global challenges.Over the past six decades,thousands of Earth o...
关键词：Earth observation SATELLITE SENSOR semantic representation information extraction 
A high-resolution dataset for lower atmospheric process studies over the Tibetan Plateau from 1981 to 2020
《Big Earth Data》2024年第3期540-565,共26页Fei Li Shupo Ma Jinhuan Zhu Han Zou Peng Li Libo Zhou 
supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(Grant No.2019QZKK0105);the National key Research and Development Program(2022YFC2807203,2022YFC3702001-03);Natural Science Foundation of China(Grant No.41830968);Key Project of the Institute of Atmospheric Physics,Chinese Academy of Sciences.
ABSTRACT A high-resolution meteorological dataset(≤10 km)over the Tibetan Plateau(TP)is the foundation for investigating and predicting the weather and climate over Asia.The TP Subregional Dynamical Downscaling(TPSDD...
关键词：Tibetan Plateau WRF model dynamical downscaling land‒air interaction the lower atmosphere 
Marginal land in China suitable for bioenergy crops under diverse socioeconomic and climate scenarios from 2020 to 2100
《Big Earth Data》2024年第3期566-586,共21页Jingying Fu Qiang Gao Gang Lin Dong Jiang Yanan Zhao Shuang Lue 
supported by the National Natural Science Foundation of China[41971250];the Postdoctoral Fellowship Program of CPSF[GZC20232621].
Maximizing the development of renewable energy plays a critical role in mitigating the climate crisis.Marginal land provides space for the development of biomass energy;however,it remains unclear how the amount and sp...
关键词：Marginal land climate change energy crops liquid fuel 
Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform
《Big Earth Data》2024年第2期189-230,共42页Alexander Mahura Alexander Baklanov Risto Makkonen Michael Boy Tuukka Petäjä Hanna KLappalainen Roman Nuterman Veli-Matti Kerminen Stephen R.Arnold Markus Jochum Anatoly Shvidenko Igor Esau Mikhail Sofiev Andreas Stohl Tuula Aalto Jianhui Bai Chuchu Chen Yafang Cheng Oxana Drofa Mei Huang Leena Järvi Harri Kokkola Rostislav Kouznetsov Tingting Li Piero Malguzzi Sarah Monks Mads Bruun Poulsen Steffen M.Noe Yuliia Palamarchuk Benjamin Foreback Petri Clusiu Till Andreas Soya Rasmussen Jun She Jens Havskov Sørensen Dominick Spracklen Hang Su Juha Tonttila Siwen Wang Jiandong Wang Tobias Wolf-Grosse Yongqiang Yu Qing Zhang Wei Zhang Wen Zhang Xunhua Zheng Siqi Li Yong Li Putian Zhou Markku Kulmala 
the last projects of Prof.Sergej Zilitinkevich(1936-2021);The financial support was/is provided through multiple projects related to the Pan-Eurasian EXperiment(PEEX)programme including Academy of Finland projects-ClimEco(grant#314798/799);ACCC(grant#337549);HEATCOST(grant#334798);European Union’s Horizon 2020 Programme projects-iCUPE under ERA-PLANET(grant#689443),INTAROS(grant#727890),EXHAUSTION(grant#820655),CRiceS(grant#101003826),RI-URBANS(grant#101036245);Horizon Europe project FOCI(grant#101056783);Erasmus+Programme projects-ECOIMPACT(grant#561975-EPP-1-2015-1-FI-EPPKA2-CBHE-JP),ClimEd(grant#619285-EPP-1-2020-1-FIEPPKA2-CBHE-JP);The Norwegian Research Council INTPART educational and networking project(322317/H30):URban Sustainability in Action:Multi-disciplinary Approach through Jointly Organized Research schools;and the EEA project(Contract No.2020TO01000219):Turbulent-resolving urban modelling of air quality and thermal comfort(TURBAN).
The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research Programme.The PEEX MP has more than 30 models and is directed towards seamless envir-onmental prediction.The main fo...
关键词：Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms 
An elevation change dataset in Greenland ice sheet from 2003 to 2020 using satellite altimetry data
《Big Earth Data》2024年第2期231-248,共18页Bojin Yang Shuang Liang Huabing Huang Xinwu Li 
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA19070202);the Joint Project of the Chinese Academy of Science(CAS)entitled Using Earth Observations to Address Ecology and Environment Change in the Pan-Antarctic Cryosphere(No.183611KYSB20200059);the Open Research Program of the International Research Center of Big Data for Sustainable Development Goals(No.CBAS2022ORP04).
ABSTRACT A decade-long pronounced increase in temperatures in the Arctic resulted in a global warming hotspot over the Greenland ice sheet(GrIS).Associated changes in the cryosphere were the consequence and led to a d...
关键词：Greenland ice sheet elevation change volume change satellite altimetry 
DynIceData:a gridded ice-water classification dataset at short-time intervals based on observations from multiple satellites over the marginal ice zone
《Big Earth Data》2024年第2期249-273,共25页Lin Huang Yubao Qiu Yang Li Shuwen Yu Wanyang Zhong Changyong Dou 
funded by the National Key Research and Development Program of China(No.2019YFE0105700 and No.2017YFE0111700);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA19070201 and No.XDA19070102);the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals(No.CBAS2022IRP08);the International Partnership Program of the Chinese Academy of Sciences“Remote Sensing and Modeling of the Snow and Ice Physical Process”(RSMSIP No.313GJHZ2022054MI).
High-resolution observations of short-term changes in sea ice are critical to understanding ice dynamics and also provide important information used in advice to shipping,especially in the Arctic.Although individual s...
关键词：Sea ice dynamics ice-water classification GF-3 SDGSAT-1 marginal ice zone 
A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning
《Big Earth Data》2024年第2期274-301,共28页Yanxing Hu Tao Che Liyun Dai Yu Zhu Lin Xiao Jie Deng Xin Li 
supported by the National Science Fund for Distinguished Young Scholars(no.42125604);the National Nature Science Foundation of China(no.41771389,no.42001289 and no.42201159);the CAS‘Light of West China’Program(E029070101).
A high-quality snow depth product is very import for cryospheric science and its related disciplines.Current long time-series snow depth products covering the Northern Hemisphere can be divided into two categories:rem...
关键词：Snow depth datasets machine learning data fusion Northern Hemisphere 
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