Prof. Ji Yuan Liu Profile

Prof. Ji Yuan Liu

at IGSNRR

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 27 September 2006 Paper

Using the RBFN model and GIS technique to assess wind erosion hazards of Inner Mongolia, China

Huading Shi, Jiyuan Liu, Dafang Zhuang, Yunfeng Hu

Proceedings Volume 6298, 62981F (2006) https://doi.org/10.1117/12.674386

KEYWORDS: Data modeling, Geographic information systems, Wind energy, Vegetation, Neurons, Data centers, Soil science, Climatology, Neural networks, Particles

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Proceedings Article | 1 September 2005 Paper

Soil nutrient changes under artificial coniferous forests in the red soil hilly region in Southeast China

Fengting Yang, Jiyuan Liu, Dafang Zhuang, Yunfeng Hu

Proceedings Volume 5884, 588417 (2005) https://doi.org/10.1117/12.614317

KEYWORDS: System on a chip, Soil science, Ecosystems, Agriculture, Carbon, Vegetation, Nitrogen, Lithium, Roads, Remote sensing

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Proceedings Article | 1 September 2005 Paper

Assessment of gully erosion in a semi-arid catchment of the Loess Plateau, China using photogrammetric techniques

Wensheng Hu, Jiyuan Liu, Qiangguo Cai, Zhiqiang Gao

Proceedings Volume 5884, 58841Q (2005) https://doi.org/10.1117/12.628711

KEYWORDS: Soil science, Digital photography, Photography, Head, Geographic information systems, Data modeling, Remote sensing, Surface plasmons, Knowledge management, Climatology

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Proceedings Article | 9 November 2004 Paper

Analyzing the degradation sequence of the meadow grassland in Xilin River basin, Inner Mongolia, using multi-temporal landsat TM/ETM+ sensor data

Siqing Chen, Jiyuan Liu, Dafang Zhuang, Xiangming Xiao, Xinfang Yu, Hua Chen

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.559293

KEYWORDS: Argon, Landsat, Sensors, Image classification, Clouds, Geographic information systems, Vegetation, Ecosystems, Image sensors, Earth observing sensors

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Landsat TM/ETM+ sensor data has proven to be a highly effective data source for vegetation and land use classification at both global and regional scales. In this study, based on land cover classification, we conducted computer-aided analysis of degradation sequence of the meadow grassland in Xilin River Basin, Inner Mongolia, using 4 sets of Landsat TM/ETM+ images (WRS 124-39 and 124-30) acquired on Jul.31, 1987, Aug.11, 1991, Sep. 27, 1997 and May 23, 2000, respectively. Primarily, 17 sub-class land cover types were recognized, including 9 grassland types at community level: F. sibiricum steppe, S. baicalensis steppe, A. chinensis + forbs steppe, A. chinensis + bunchgrass steppe, A. chinensis + Ar. frigida steppe, S. grandis + A. chinensis steppe, S. grandis + bunchgrass steppe, S. krylavii steppe, Ar. frigida steppe and 8 non-grassland types: active cropland, harvested cropland, urban area, wetland, desertilized land, saline and alkaline land, cloud, water body + cloud shadow. Then we created thematic maps of the areal change and spatial variation of the meadow grassland in Xilin River Basin, Inner Mongolia. We used Geographical Information System (GIS) tools to create thematic maps of the meadow grassland and then analyzed its degradation sequence (or the evolution route). Driven by overgrazing, the meadow grassland ecosystem in Xilin River Basin, Inner Mongolia had undergone and was undergoing degradation evolution; the evolution route was from meadow grassland (F. sibiricum steppe, S. baicalensis steppe), via temperate grassland (A. lymus + bunchgrass steppe, A. lymus + forbs Steppe, A. lymus + S. grandis steppe, S. grandis + bunchgrass steppe, S. grandis + forbs steppe and A. lymus + Ar. frigida steppe) to desert grassland (S. krylavii steppe and Ar. frigida steppe). Results of this study show that increasing human population and accelerated social-economic development has caused dramatic degradation and fragmentation to the grassland ecosystems in Xilin River Basin.

Proceedings Article | 9 November 2004 Paper

Soil erosion effects on soil organic carbon and an assessment within China

Yunfeng Hu, Jiyuan Liu, Dafang Zhuang, Shaoqiang Wang, Fengting Yang, Siqing Chen

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.558631

KEYWORDS: System on a chip, Carbon, Soil science, Carbon monoxide, Geographic information systems, Neodymium, Ecosystems, Vegetation, Climatology, Oxidation

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Proceedings Article | 9 November 2004 Paper

Remotely sensed changes in agricultural productivity in China from the 1980s to the 1990s

Huimin Yan, Jiyuan Liu, Mingkui Cao, Zhiqiang Gao, Dafang Zhuang, Jiankun Guo, Xinliang Xu

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.559157

KEYWORDS: Agriculture, Satellites, Vegetation, Data modeling, Solar radiation models, Climatology, Remote sensing, Ecosystems, Climate change, Soil science

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Proceedings Article | 9 November 2004 Paper

The spatial-temporal patterns and the driving forces of land-use/cover change in the Dongting Lake area of the middle Yangtze River basin

Rendong Li, Jiyuan Liu, Dafang Zhuang, Zhiqiang Gao

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.563383

KEYWORDS: Agriculture, Databases, Landsat, Visualization, Remote sensing, Environmental management, Floods, Satellite imaging, Satellites, Earth observing sensors

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Proceedings Article | 9 November 2004 Paper

Net primary productivity and its spatiotemporal patterns in Northeast China during 1981—2000

Jun Shi, Jiyuan Liu, Zhiqiang Gao, Linli Cui, Qi Wang

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.556666

KEYWORDS: Data modeling, Vegetation, Carbon, Remote sensing, Climate change, Atmospheric modeling, Climatology, Meteorology, Environmental sensing, Process modeling

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Proceedings Article | 9 November 2004 Paper

Environmental effects of urban expansion in medium-sized cities of China: a case study in Mianyang City

Tao Zhao, Jiyuan Liu, Dafang Zhuang, Xiangzheng Deng, Siqing Chen

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.558224

KEYWORDS: Remote sensing, Agriculture, Landsat, Roads, Geographic information systems, Statistical analysis, Water contamination, Meteorology, Thermal effects, Earth observing sensors

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Proceedings Article | 9 November 2004 Paper

Recent land-use change and its impact on farmland productivity in China

Jiyuan Liu, Xinliang Xu, Zhiqiang Gao, Dafang Zhuang

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.563312

KEYWORDS: Climatology, Climate change, Environmental sensing, Databases, Dynamical systems, Atmospheric modeling, Agriculture, Data modeling, Quantum efficiency, Thermal modeling

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Proceedings Article | 9 November 2004 Paper

Dynamic monitoring of land-use change in Loess Plateau using multi-temporal Landsat TM data

Xiyong Hou, Jiyuan Liu, Zhiqiang Gao, Dafang Zhuang, Xinfang Yu

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.558876

KEYWORDS: Remote sensing, Landsat, Geographic information systems, Vegetation, Agriculture, Acquisition tracking and pointing, Inspection, Forestry, Climate change, Earth observing sensors

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Proceedings Article | 9 November 2004 Paper

A case study on the relationship between soil geochemical components and salinization in the western Jilin Province of China

Yingbo Zhu, Quansheng Ge, Jiyuan Liu, Yunxuan Zhou, Zhiqiang Gao, Siqing Chen

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.559269

KEYWORDS: Soil science, Germanium, Beryllium, Sodium, Barium, Antimony, Thallium, Strontium, Lead, Selenium

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Proceedings Article | 9 November 2004 Paper

Analysis on impact of climate changes over the past twenty years on NPP in China

Zhiqiang Gao, Jiyuan Liu, Mingkui Cao, Qi Wang, Wei Gao, James Slusser, Xiaoling Pan

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.563614

KEYWORDS: Climatology, Climate change, Data modeling, Vegetation, Temperature metrology, Carbon, Ecosystems, Environmental sensing, Remote sensing, Process modeling

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Proceedings Article | 9 November 2004 Paper

Cropland change detection with SPOT-4 VEGETATION imagery in Inner Mongolia, China

Jiankun Guo, Jiyuan Liu, Guoman Huang, Dafang Zhuang, Zhiqiang Gao, Huimin Yan

Proceedings Volume 5544, (2004) https://doi.org/10.1117/12.559420

KEYWORDS: Vegetation, Composites, Clouds, Fourier transforms, Agriculture, Temporal resolution, Remote sensing, Sensors, Spatial resolution, Roads

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Proceedings Article | 14 July 2003 Paper

Land cover analysis along semi-arid transects in Asia

Dennis Ojima, Zhiqiang Gao, Jiyuan Liu, Mary Kneeland, Togtohyn Chuluun

Proceedings Volume 4890, (2003) https://doi.org/10.1117/12.465913

KEYWORDS: Climatology, Ecosystems, Agriculture, Biological research, Remote sensing, Soil science, Climate change, Carbon, Environmental sensing, Natural disasters

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Current estimates of land cover and land use are important aspects in understanding the flux of material and energy from terrestrial ecosystems into hydrological and atmospheric components of the earth system. These land use characteristics define the various dimensions of human impacts on ecosystem processes and resource use. The recent availability of global remote sensing data and agricultural census data from various regions of the world, including portions of Asia such as China and Mongolia, now makes it feasible to evaluate differences in the physical environment and land use patterns affecting land cover and land use changes. In addition, recent research involving transects studies along gradients of climate, soil, and land use intensity has been carried out during the past decade to allow more careful regional comparisons. Using the analysis of the Mongolian-North East China Transect (NECT), we can estimate the effect of land cover differences on ecosystem dynamics. The 30 m-Thematic Mapper data provides a way to identify fine scale features of the regional landscape patterns which are not captured by the 1-km AVHRR data. The focus of this paper is to evaluate the scale of land use and cover changes in the Asian region and the biogeochemical implications of these changes. The estimates of land cover and land use can vary depending on the spatial scale of the features represented across the land surface. Both physical and social factors influence the spatial extent these features represent. Therefore, the scale of land use intensification can affect the accuracy of land use area estimations. In particular, those regions of the world where land use practices are implemented via small individual holdings may be underestimated when using coarse scale remote sensing data such as AVHRR, where as the Thematic Mapper satellite data at 30 to 50 m resolution can provide a better estimate of land cover and land use area. The accuracy of the extrapolated fluxes of ecosystem dynamics and biogeochemical cycles are directly proportional to the accuracy associated with the land estimates. We will evaluate the land cover estimates in this region of Asia using these data sources. This region encompasses a broad set of precipitation and temperature regimes and includes characteristics of regional land cover and land use related to grazing systems and grain cultivation.