Prof. Yujie Liu Profile

Prof. Yujie Liu

at Chinese Academy of Meteorological Sciences

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Publications (5)

Proceedings Article | 25 July 2007 Paper

Deriving albedo over cloudy areas with composite inversion

Aijun Chen, Lingen Bian, Yujie Liu

Proceedings Volume 6753, 675337 (2007) https://doi.org/10.1117/12.763606

KEYWORDS: Bidirectional reflectance transmission function, MODIS, Remote sensing, Vegetation, Satellites, Climatology, Statistical modeling, Databases, Composites, Reflectivity

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Proceedings Article | 1 September 2005 Paper

Variations of NDVI and the relationship with climate in Huang-huai-hai region of China from 1981-2001

Huailiang Chen, Chunhui Zou, Yujie Liu, Xiangde Xu, Shitao Wang

Proceedings Volume 5884, 58841I (2005) https://doi.org/10.1117/12.616594

KEYWORDS: Vegetation, Climatology, Agriculture, Climate change, Environmental sensing, Temperature metrology, Meteorology, Satellites, Remote sensing, Data processing

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Vegetation cover is the primary index of the earth's ecological system and the change in large-scale vegetation cover represents the effects of natural and human activities upon ecological environments and change in vegetation bears an intimate relation with that of climate, thus being one of the heated issues in the research of global change. In the context of 1981-2001 NOAA/AVHRR NDVI satellite sensings, classified vegetation types and climate data for the Huanghe-Huaihe-Haihe (HHH) zone and based on a range of vegetation types selected, including forested land, grassland, meadow and farmland, study is conducted on the dynamic variations of NDVI on a seasonal and an interannual basis, together with their relations to climate change investigated, thus achieving some preliminary findings regarding the seasonal and interannual variation features of the HHH vegetation. Results show that, viewing the situation as a whole, the yearly variation displays intense seasonality under the control of monsoon climate while looking at the interannual variation, the 1981-2001 mean NDVI exhibits insignificant rise trend, bigger in spring compared to other seasons; types of scattered vegetation and forests are more steady on an interannual basis but the agricultural types change dramatically, indicating relatively greater effect of human activities; the vegetation degradation has occurred in the HHH zone in recent years; farmland vegetation is dominant and natural vegetation is about half the agricultural area; for different vegetation types, multi-yearly mean NDVI follows almost the same course on an interannual basis, except for some difference in range between them; yearly rainfall and temperature have positive effect on dynamic NDVI variation while evaporation is in higher negative correlation with the NDVI; Water is a sensitive factor to the growth of conifers, grassland and crops in spring and summer. Water and heat are important to biannual crops, broadleaf trees and grassland vegetation in autumn. In winter all types of vegetation are insignificantly correlated to climate factors.

Proceedings Article | 1 September 2005 Paper

Soil moisture prediction based on retrievals from satellite sensing and a regional climate model

Huailiang Chen, Xiangde Xu, Yujie Liu, Yusheng Li, Shitao Wang

Proceedings Volume 5884, 58840E (2005) https://doi.org/10.1117/12.616557

KEYWORDS: Soil science, Data modeling, Atmospheric modeling, Environmental sensing, Vegetation, Satellites, Climatology, Data conversion, Meteorological satellites, Meteorology

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Proceedings Article | 16 June 2003 Paper

Automated monitoring of snow cover over China using FY-1C and NOAA-16 satellite data

Yujie Liu, Zhaojun Zheng

Proceedings Volume 4895, (2003) https://doi.org/10.1117/12.466791

KEYWORDS: Snow cover, Clouds, Satellites, Reflectivity, Visible radiation, Meteorological satellites, Associative arrays, Satellite imaging, Vegetation, Sensors

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Proceedings Article | 8 February 2001 Paper

Snow cover remote sensing with multisensor data

Yujie Liu, Libo Wang, Wanping Yuan

Proceedings Volume 4151, (2001) https://doi.org/10.1117/12.417014

KEYWORDS: Snow cover, Clouds, Reflectivity, Remote sensing, Satellites, Visible radiation, Sensors, Climatology, Radiometry, Meteorological satellites

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