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| 1 | Geospatial-temporal analysis of land-use changes in the Yellow River Delta during the last 40 years显示文摘Comprehensive study on land-use change of spatial pattern and temporal process is the key component in land use/land cover changes (LUCC) study nowadays. According to the theories and methods of Geo-information Tupu (Carto-methodology in Geo-information, CMGI) for geospatial and temporal analysis and integration models of spatial pattern and temporal processes in GIS, the paper puts forward Tupu methodology of land-use change and names the basic synthetic unit of spatial-temporal information Tupu unit. Tupu unit is the synthetic unit for geospatial-temporal analysis, which is synthesized by “space·attribute·process”features and composed of relatively homogeneous geographic unit and temporal unit. Based on the spatial features of 4 stages of land-use change in 1956, 1984, 1991, and 1996, a series of Tupu on land-use change in the Yellow River Delta (YRD) are created and studied in the paper, which includes 3 temporal units of spatial-temporal Tupu, process Tupu of land-use changes during the last 40 years, and reconstructions of a series of “arisen”Tupu, “arisen”process Tupu and pattern Tupu on land-use changes in the last 40 years by remapping tables of a reclassifying system. There are 3 methods of Tupu analysis on land-use change that are used to disclose change processes of land-use spatial conversion in YRD, such as spatial query and statistics, order of Tupu units by area and land-use conversion matrixes. In order to reveal the spatial pattern of land-use change processes, we analyze spatial-temporal changes of each Tupu above in various temporal units and spatial difference of pattern Tupu in the last 40 years by dynamic Tupu units. Tupu analysis on regional land-use is a promising trial on the comprehensive research of “spatial pattern of dynamic process”and “temporal process of spatial pattern”in LUCC research. The geo-information Tupu methodology would be a powerful and efficient tool on integrated studies of spatial pattern and temporal process in geoscience. | YE Qinghua1,3,4,LIU Gaohuan2,TIAN Guoliang1,CHEN Shenliang3,HUANG Chong2,CHEN Shupeng1,2,LIU Qingshen2,CHANG Jun2 & SHI Yanan2 1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications(IRSA),Chinese Academy of Science(CAS),Beijing 100101,China 2.Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China 3.State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200062,China 4.Institute of Tibetan Plateau Research(ITPR),CAS,Beijing 100085,China Correspondence should be addressed to Ye Qinghua(email: yeqh@itpcas.ac.cn) | 2004 | Science China Earth Sciences2004，47，11： | 22 |
| 2 | Characteristics of landscape information Tupu of the Yellow River swings and its subdeltas during 1855―2000显示文摘Based on the theories and methods of cartography on spatial pattern and temporal evolution in Geo-information Tupu (Carto-methodology in Geo-information, CMGI) and the quantitative measurements of pattern and process in landscape ecology, the methodology of landscape information Tupu in studying the swing process of the Yellow River (YR) over the Yellow River Delta (YRD) during 1855― 2000 has been demonstrated. The main content includes: (1) methodology of landscape information Tupu; (2) evolution process Tupu of YR rump channels; (3) evolution process Tupu of the 7 pieces of subdeltas in YRD during 1855―2000; (4) landscape information Tupu of the modern YRD and the current YRD; (5) landscape information Tupu of YR rump channels on the 7 pieces of subdeltas during 1855―2000; and (6) corridor-matrix landscape information Tupu by YR swings. The methodology of landscape information Tupu here is still primary but we hope that it could provide a new tool for exploring an integrated research on spatiotemporal approaches for landscape 'pattern and process'. | YE QingHua1,3?, CHEN ShenLiang2, HUANG Chong4, XUE YunChuan5, TIAN GuoLiang3, CHEN ShuPeng3,4, SHI YaNan4, LIU QingSheng4 & LIU GaoHuan4 1 Institute of Tibetan Plateau Research (ITPR), Chinese Academy of Sciences (CAS), Beijing 100085, China 2 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China 3 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications (IRSA), CAS, Beijing 100101, China 4 Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China 5 Qingdao Meteorological Bureau, Qingdao 266003, China | 2007 | Science China Earth Sciences2007，50，10： | 8 |
| 3 | Cotton pixel identification with CBERS-02 CCD data based on spectral knowledge显示文摘In this paper the in-situ experiment data are collected from the Spectral Library to estimate the possible values of the primary structural parameters in each cotton growing season by statistics. Based on these values the spectra of the cotton major growing seasons were simulated and analyzed using the canopy reflectance model, SAILH. In this way we also simulated the cotton pixel spectra corresponding to CBERS-02 CCD and took them as the reference spectra for spectra fitting. Then No.143 Regiment of No.8 Agricultural Division of Xinjiang Production and Construction Corps (XPCC) was chosen as the study area, and two spectra fitting methods, Mahalanobis distance and spectra angle, were used to identify cotton pixel from CBERS-02 CCD image of the study area. At last we analyzed the effect of the calibration coefficients error on cotton identifying. The results showed that within 4% error the spectral angle classifier can still have a good performance. | LI Jing1,2,3, LIU Qinhuo1,3, LIU Qiang1, CHEN Liangfu1, BO Junhua3 & LI Shaokun3 1. State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy of Sciences, Beijing 100101, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3. The Key Oasis Eco-agriculture Laboratory of Xinjiang Production and Construction Corps, Shi Hezi 832000, China | 2005 | Science China(Technological Sciences)2005，48，S2： | 1 |
| 4 | Radio surgery practice guideline imitative: stereotactie radio surgery for patients with intractable typical trigeminal neuralgia who have failed medical management radio surgery practice guideline report 显示文摘 | Irsa | 2009 | Issued2009，1，： | 1 |
| 5 | An Earth multi-body system elasticity and plasticity dynamics model显示文摘Research on the elasticity and plasticity dynamics of the Earth multi-body system, including the Earth multi-body system stratum-block's equivalent inertia force system and generalized inertia force, the Earth multi-body system stratum-block's equivalent inertia force system expressed with partial velocity and partial palstance, and Earth multi-body system generalized inertia force expressed with partial velocity and partial palstance. This research provides a theoretical foundation for further investigation of Earth multi-body dynamics. | ZHANG Qingxian, BI Siwen & GONG Huili Education Ministry Key Laboratory of Three-Dimensional Information Extraction and Application, Capital Normal University, Beijing 100037, China State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy of Sciences, Beijing 100101, China | 2006 | Science China(Technological Sciences)2006，49，z2： | 0 |
| 6 | Study on movement inertia in the Earth multi-body system显示文摘This paper summarizes the first movement and mass centre of stratum-block movement inertia in the Earth multi-body system and introduces its application. It also elaborates the moment of inertia and the products of inertia: the inertia dyadic transformation of reference system and the parallel axis theorem of stratum-block movement inertia of the Earth multi-body system. It provides an academic foundation for research on the dynamic model of Earth multi-body system. | CHEN Xiaofei, BI Siwen & GONG Huili Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100037, China National Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications (IRSA), Chinese Academy of Sciences, Beijing 100101, China | 2006 | Science China(Technological Sciences)2006，49，z2： | 0 |
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