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Die kinetische Theorie der Gase (3. Band)

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fullscreen: Die kinetische Theorie der Gase (3. Band)

Multivolume work

Persistent identifier:
898574846
Author:
Clausius, Rudolf
Title:
Die mechanische Wärmetheorie
Type of content:
Lehrbuch
Edition title:
Zweite umgeareitete und vervollständigte Auflage des unter dem Titel "Abhandlungen über die mechanische Wärmetheorie" erschienen Buches
Year of publication:
1876
Place of publication:
Braunschweig
Publisher of the original:
Druck und Verlag von Friedrich Vieweg und Sohn
Identifier (digital):
898574846
Language:
German
Additional Notes:
Früher unter dem Titel: Abhandlungen über die mechanische Wärmetheorie
Document type:
Multivolume work

Volume

Persistent identifier:
898579678
Author:
Clausius, Rudolf
Title:
Die kinetische Theorie der Gase
Scope:
XVI, 264 Seiten
Edition title:
Zweite umgearbeitete und vervollständigte Auflage des unter dem Titel "Abhandlungen über die mechanischen Wärmetheorie" erschienenen Buches
DOI:
10.14463/GBV:898579678
Year of publication:
1891
Place of publication:
Braunschweig
Publisher of the original:
Druck und Verlag von Friedrich Vieweg und Sohn
Identifier (digital):
898579678
Signature of the source:
Phys. 207(3),2
Language:
German
Other Title:
Nebentitel: Entwickelung der besonderen Vorstellungen von der Natur der Wärme als einer Art der Bewegung
Usage licence:
Public Domain Mark 1.0
Editor:
Planck, Max
Pulfrich, Carl
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2017
Document type:
Volume
Collection:
Physics

Preface

Title:
VORWORT.
Document type:
Multivolume work
Structure type:
Preface

Contents

Table of contents

  • 3rd ISPRS IWIDF 2013
  • Cover
  • ColorChart
  • Title page
  • [Inhaltsverzeichnis]
  • A NOVEL IMAGE REGISTRATION ALGORITHM FOR SAR AND OPTICAL IMAGES BASED ON VIRTUAL POINTS Cuifang Ai, Tiantian Feng, Jianmei Wang, Shaoming Zhang
  • APPLICATION OF DATA FUSION IN THE PRODUCTION AND UPDATING OF SPATIAL DATA Huanxin Chen, Qun Sun, Li Xu, Ziming Xiong
  • CHANGE DETECTION OF MULTI-POLARIMETRIC SAR DATA BASED ON PRINCIPAL COMPONENT ANALYSIS X. Chen, T. Wu, N. Niu
  • MONITORING THE CHANGES OF LAKES IN THE SOURCE REGION OF THREE RIVERS WITH REMOTE SENSING DATA FROM 1976 TO 2009 Chengfeng LUO, Yuan Wang, Haoyan YOU, Zhengjun LIU
  • Remote Sensing Image Fusion Based on Discrete Fractional Random Transform for Modified IHS Q. Guo, A. Li, H. Q. Zhang, Z. K. Feng
  • Data fusion of high-resolution satellite imagery and GIS data for automatic building extraction GUO Zhou, LUO Liqun, WANG Wanyi, DU Shihong
  • A ROBUST PCT METHOD BASED ON COMPLEX LEAST SQUARES ADJUSTMENT METHOD Fu Haiqiang, Zhu Jianjun, Wang Changcheng, Xie Qinghua, Zhao Rong
  • IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES Zhen Han, Xinming Tang, Xiaoming Gao, Fen Hu
  • THE DEVELOPMENT AND INDUSTRIALIZATION RECOMMENDATION OF CURRENT AERIAL REMOTE SENSING TECHNOLOGY Zhigang HONG
  • OCRA COMPARATIVE STUDY BETWEEN PAIR-POINT CLIQUE AND MULTI-POINT CLIQUE MARKOV RANDOM FIELD MODELS FOR LAND COVER CLASSIFICATION Bo Hu, Peijun Li
  • RESEARCH OF MULTI-BASELINE INSAR ELEVATION INVERSION BASED ON MLHE METHOD Hua Fenfen, Zhang Jixian, Huang Guoman
  • THE APPLICATION OF REMOTE SENSING AND AERO-GEOPHYSICS DATA FUSION ON METALLOGENIC PROGNOSIS IN QIMANTAGE OF EAST KUNLUN MONTAIN AREA Weijie Jia, Hongri Zhang, Jian Lin, Honglei Zhao
  • RESEARCH ON ESTIMATION CROP PLANTING AREA BY INTEGRATING THE OPTICAL AND MICROWAVE REMOTE SENSING DATA Y. Jia, F. Yu
  • STUDY ON THE TECHNOLOGY AND METHOD OF LAND COVER CLASSIFICATION FOR GEOGRAPHIC NATIONAL CONDITIONS SURVEYING Y Jia, H T Li, H Y Gu, Y S Han
  • HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE P. X. Li, W. D. Sun, J. Yang, L. Shi, F. K. Lang, W. Jiang
  • A MODIFIED METHOD FOR POLARIMETRIC SAR CALIBRATION ALGORITHM Lu Liao, Pingxiang Li, Jie Yang
  • EXPERIMENTAL RESEARCH ON ACCURACY OF AEROTRIANGULATION FOR UAV IMAGERY LI Ling, LI Ying-Cheng, DING Xiao-Bo
  • INTEGRATING MULTI-SOURCE IMAGERY DATA IN A GIS SYSTEM Qian Liu
  • A New Calibration Method of Airborne Interferometric SAR Mengmeng Wang, Guoman Huang
  • RESEARCHES ON THE LAND-USE CHANGE DETECTION OF MINE AREA BASED ON TM/ETM IMAGES Ye Qin, He Liling, Ying Min, Lin Yi
  • COMPARISON OF TWO FUSION BASED BUILDING CHANGE DETECTION METHODS USING SATELLITE STEREO IMAGERY AND DSMS J. Tian, P. Reinartz
  • MULTI-SOURCE REMOTE SENSING IMAGES MATCHING BASED ON IMPROVED KAZE ALGORITHM WANG Zong-wei, WANG Hua-bin, WANG Guang-hui, LI Can-hai, YANG Hua-chao
  • SIMULATION STUDY ON THE EFFECT OF SAND DIGGING AND HEAPING ON SAR IMAGING IN THE PEARL RIVER ESTUARY X. Wang, H. Zhang, B. Fu, W. Guan and A. Shi
  • ANALYSIS ON THE CHANGE OF VEGETATION COVERAGE IN QINGHAI PROVINCE FROM 2000 TO 2012 Jiao. Wang, Qin. Yan, Zhengjun. Liu, Chengfeng. Luo
  • URBAN BUILDING COLLAPSE DETECTION USING VERY HIGH RESOLUTION IMAGERY AND AIRBORNE LIDAR DATA Xue Wang, Peijun Li
  • URBAN EMERGENCY EVACUATION DATA FUSION BASED ON "ONE MAP” Bowei WEN, Qun SUN, Huanxin CHEN
  • COMPARISON OF TWO PHASE UNWRAPPING METHODS FOR PSP TIME SERIES ANALYSIS J. Wu, L. Zhang, J. Zhao, A. Sowter
  • CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON THE SUBSPACE METHOD Xu Juan, Li Zhen, Tian Bangsen, Chen Quan, Zhang Ping
  • A HIGH-EFFICIENCY FUSION METHOD OF MULTI-SPECTRAL IMAGE AND PANCHROMATIC IMAGE Xiaorong Xue, JiPeng Wang, Hongfu Wang, Fang Xiang
  • PIXEL LEVEL DATA FUSION OF MARS EXPRESS HRSC LINEAR PUSHBROOM IMAGERY BASED ON THE RIGOROUS GEOMETRIC MODEL Xun Geng, Qing Xu, Yuange Lan, Yifan Hou, Shuai Xing, Chaozhen Lan
  • A HIERARCHICAL IMAGE MATCHING METHOD FOR STEREO SATELLITE IMAGERY Fei Yan, Weian Wang, Shijie Liu, Wen Chen
  • ANALYSING THE LAW OF DYNAMIC SUBSIDENCE IN MINING AREA BY FUSING INSAR AND LEVELING MEASUREMENTS Z. F. Yang, Z. W. Li, J. J. Zhu, J. Hu, Y. J. Wang, G. L. Chen
  • THE MULTI-LEVEL AND MULTI-SCALE FACTOR ANALYSIS FOR SOIL MOISTURE INFORMATION EXTRACTION BY MULTI-SOURCE REMOTE SENSING DATA F. Yu, H. T. Li, Y. Jia, Y. S. Han, H. Y Gu
  • ADAPTIVE SPATIAL FILTERING OF INTERFEROMETRIC DATA STACK ORIENTED TO DISTRIBUTED SCATTERERS Yunjun Zhang, Chou Xie, Yun Shao , Minghuan Yuan
  • [Additional Papers]
  • REMOTE SENSING CLASSIFICATION METHOD OF WETLAND BASED ON AN IMPROVED SVM Yi Lin, Mingge Shen, Bing Liu, Qin Ye
  • CHANGE DETECTION AND DYNAMIC ANALYSIS BASED ON REMOTE SENSING IMAGES G. Luzi, M. Crosetto, N. Devanthéry, M. Cuevas, X. Meng
  • DATA FUSION TECHNOLOGY OF MULTI-PLATFORM EARTH OBSERVATION ON AGRICULTURE W. Xie, Y. Xue, L. Zhai, H. Sang
  • SUPERRESOLUTION SAR IMAGING ALGORITHM BASED ON MVM AND WEIGHTED NORM EXTRAPOLATION P. Zhang, Q. Chen, Z. Li, Z. Tang, J. Liu, L. Zhao
  • MONITORING OF GLACIER VOLUME VARIATION FROM MULTI-SOURCE DATA OVER GELADANDONG AREA Y. Zhang, H. Wu, S. Jin, H. Wang
  • SUB-APERTURE FOCUSING ALGORITHM OF GEOSYNCHRONOUS SAR Yun Zhang, Hongbo Li, Huizhi Xu, Bin Hu
  • Cover

Full text

  
ANALYSIS ON THE CHANGE OF VEGETATION COVERAGE 
IN QINGHAI PROVINCE FROM 2000 TO 2012 
Jiao. Wang ^^, Qin.Yan*, Zhengjun.Liu*, Chengfeng. Luo* 
" Chinese Academy of Surveying and Mapping, Institute of Photogrammetry and Remote Sensing, No.28 Lianhuachi 
i Xi Road, Haidian District, Beijing, P.R.China — 772072971()qq.com, (yanqin, zjliu,cfluo)@casm.ac.cn 
Shandong University of Science and Technology, College of Geomatics, No.579 Qianwangang Road, Huangdao 
District, Qingdao, Shandong, P.R.China - 772072971@gqq.com 
KEY WORDS: Vegetation Coverage, Qinghai Province, Coefficient of Variability, Trend Line Analysis, Change Analysis, MODIS 
ABSTRACT: 
Qinghai Province is one of the important provinces on the Qinghai-Tibet Plateau in China. Its unique alpine meadow ecosystem 
makes it become the most concentrated areas of biodiversity in high altitudes in the world. Researching the vegetation coverage and 
changes of Qinghai province can reflect effectively and timely processing of changes and problems of ecological quality in the 
region. This research will give a long time series monitoring of the vegetation coverage of Qinghai province based on maximum 
value composite (MVC) and S-G filtering algorithm using MODIS data of the year of 2000-2012, then analyze the change using 
coefficient of variability(CV) and trend line analysis. According to research, during the past 13 years, more than half of Qinghai 
Province’s vegetation coverage is well, both the east and south have a high coverage, while the northwest is lower. The changing of 
vegetation coverage also has showed a steady and improving trend in 13 years. The largest area is slight improved area is about 
29.08% of the total area, and the second largest area is significant improved area is about 21.09% of the total area. In this research 
can learn directly the vegetation coverage and changes of Qinghai province and provide reference and scientific basis for the 
protection and governance of ecological environment. 
1. INTRODUCTION : changes comprehensively, which is of great importance to the 
regional development and ecological construction. 
The vegetation coverage refers to the percentage of the With the MODIS data of NDVI and LAI of 2000-2012, this 
vegetation’s vertical projection area in unite area, including the study estimates the vegetation coverage with non-density model, 
stem, leave and branch !"*. The vegetation coverage, a monitors and analyzes a long-term series of data of Qinghai 
comprehensive quantitative indicator of the vegetation covering province vegetation coverage in different periods, reveals its 
condition, is an important parameter that describes vegetation changing rules, providing evidence for scientific and rational 
communities and ecosystem. Vegetation coverage and its protection and land resources utilization. 
change are the important indicator of regional ecosystem 
changing which means important to hydrology, ecology and 2. DATA AND METHODS 
global changes. According to the monitoring method, there are 
two measuring vegetation coverage methods—ground survey 2.1 Study area 
and remote sensing measurement ©). The former method : : : ; e ; 
includes estimation method, sampling point method, quadrat Qinghai province is located in the west of China and northeast 
sampling method, the sample strip method, etc [46] But these of Qinghai-Tibet Plateau, adjacent to Xinjiang, Sichuan, Gansu, 
methods have strong subjective tends, large workload and high Xizang provinces. It is in east longitude 89° 35" —103° 04’ , 
cost which are not suitable for measuring large area coverage. north latitude 31° 39’ ~ 39° 19’ . The whole province’s 
With the development of remote measuring technology, it is length is 1200km, width is 800km. Qinghai province is an 
possible to measure coverage with it. This kind of method not important part of the world roof. Except some areas, such as 
only saves the extra time and money that caused by traditional Yellow River Valley and Qidamu Basin, the rest are at an 
ground measurement, but also can simultaneously observe, altitude of about 3000-5000 meters. In Qinghai province, the 
eliminating the ground measurement’s disadvantage of small- western part is higher than eastern and northwest is higher than 
scale measurement. the middle part. The terrain is so complicated that forms the 
Qinghai province, one of the four largest provinces in China, unique plateau continental climate—less raining, large 
having broad land and grassland, extending 8 degree of latitude, temperature changes and a lot of sunshine. The source of 
is one of the national five major pastoral areas. Its grassland Yangtze River and Yellow River is in Qinghai, so does the 
area accounts for 50.46% of the total area, mainly in Qinghai- Qinghai Lake, the largest inland saltwater lake. It is its unique 
Tibet Plateau, mountain Qilian and the Qidamu Basin’s natural environment that decides the corresponding features of 
southwest mountains. The farmland area of the province only its vegetation type. Its unique alpine meadow ecosystem makes 
accounts for 1.54% of the total area, mainly distributed in the it become the most concentrated areas of biodiversity in high 
area of east Hehuang, Gonghe Basin and Chaidamu Basin. altitudes in the world. Researching the vegetation coverage and 
Forest land only accounts for 6.1% and mainly distributed in changes of Qinghai province can reflect effectively and timely 
southeast. Researching Qinghai province’s vegetation coverage processing of changes and problems of ecological quality in the 
with remote measuring technology can monitor its vegetation region and provide scientific evidence for vegetation protection 
and ecological researches. 
121 
 
	        

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