Retrodigitalisierung Logo Full screen
  • First image
  • Previous image
  • Next image
  • Last image
  • Show double pages
Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

Access restriction

There is no access restriction for this record.

Copyright

CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

Monograph

Persistent identifier:
856566209
Author:
Chen, Jun
Title:
The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Sub title:
May 23 - 25, 2001, Bangkok, Thailand
Scope:
VI, 434 Seiten
Year of publication:
2001
Place of publication:
Pathumthani, Thailand
Publisher of the original:
AIT
Identifier (digital):
856566209
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
CIS AIDED CHARACTERIZATION OF SOIL AND GROUNDWATER ARSENIC CONTAMINATION IN SOUTHERN THAILAND. Jianjun ZHANG, Xiaoyong CHEN, Preeda PARKPIAN, Monthip Sriratana TABUCANON, Janewit WONGSANOON, Kensuke FUKUSHI, Skorn MONGKOLSUK and N.C.THANH
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
  • Cover
  • ColorChart
  • Title page
  • PREFACE
  • Conference Venue
  • CONTENTS
  • DISTRIBUTION ANALYSIS AND AUTOMATIC GENERALIZATION OF URBAN BUILDING CLUSTER. Tinghua AI
  • GENERALIZATION FOR 3D GIS. Fengwen BAI, Xiaoyong CHEN
  • USING IKONOS HIGH RESOLUTION REMOTE SENSING DATA FOR LAND USE CLASSIFICATION IN CHINA. Georg BARETH
  • LARGE SCALE GIS FOR A SUBURBAN TOWNSHIP OF BEIJING TO MODEL STRATEGIES FOR SUSTAINABLE AGRICULTURE ON FIELD LEVEL. Georg BARETH, Si JIN, Tailai YAN and Reiner DOLUSCHITZ
  • THREE LEVEL HIERARCHICAL QUALITATIVE DESCRIPTIONS FOR DIRECTIONS OF SPATIAL OBJECTS. Han CAO, Jun CHEN, Daosheng Du
  • THE APPLICATION OF CENTROGRAPHIC ANALYSIS TO THE STUDY OF THE INTRA-URBAN MIGRATORY PHENOMENON IN THE GREATER MONCTON AREA IN CANADA, 1981-1996. Huhua CAO
  • PER-FIELD CLASSIFICATION INTEGRATING VERY FINE SPATIAL RESOLUTION SATELLITE IMAGERY WITH TOPOGRAPHIC DATA. Mauro CAPRIOLI, Eufemia TARANTINO
  • INTEGRATION OF GIS WITH PESTICIDES LOSSES RUNOFF MODEL. Bing CHEN, Gordon HUANG, Jonathan LI, Yueren LI, and Yifan LI
  • RESEARCH ON 3D CITY VISUALIZATION BASED ON INTERNET. Jing CHEN, Qingquan Ll, Jianya GONG, Bisheng YANG
  • DYNAMIC AND MULTI-DIMENSIONAL GIS: AN OVERVIEW. Jun CHEN, Zhilin LI, Jie JIANG
  • A GIS-SUPPORTED ENVIRONMENTAL RISK ASSESSMENT FOR PETROLEUM WASTE CONTAMINATED SITE. Su Chen, Gordon Huang, and Jonathan Li
  • MEASURING UNCERTAINTY IN SPATIAL FEATURES IN A THREE-DIMENSIONAL GEOGRAPHICAL INFORMATION SYSTEM. Chui Kwan CHEUNG and Wenzhong SHI
  • SPATIAL DEVELOPMENT RESEARCH OF LARGE CITY BASED ON GIS SPATIAL ANALYSIS. Anrong DANG, Qizhi MAO, Xiaodong WANG
  • DIGITAL CLOSE RANGE PHOTOGRAMMETRY: A POTENTIAL TOOL FOR LAND FEATURE PRESENTATION. Gang DENG
  • 3D SPATIAL OBJECTS MODELING AND VISUALIZATION BASED ON LASER LANGE DATA. Jie DU, Apisit EIUMNOH, Xiaoyang CHEN, Michiro KUSANAGI
  • 3D REPRESENTATION AND SIMULATION OF MINING SUBSIDING LAND BASED ON GIS, DPS AND GPS. Peijun DU, Dazhi GUO and Qihao WENG
  • USE DSM/DTM TO SUPPORT CHANGE DETECTION OF BUILDING IN URBAN AREA. Hong FAN, Jianqing ZHANG, Zuxun ZHANG, Zhifang LIU
  • ENHANCE MANAGEMENT LEVEL OF URBAN WATER SUPPLY DEPARTMENT WITH 3S TECHNOLOGY. Yewen FAN and Wei WANG
  • AUTOMATIC REGISTRATION OF SATELLITE IMAGE TO MAP. Kensaku FUJII
  • DIFFERENTIAL SATELLITE POSITIONING OVER INTERNET. Ying. GAO and Zhi. LIU
  • FEDERATED SPATIAL DATABASES AND INTEROPERABILITY. Jianya GONG, Yandong WANG
  • OPTIMIZING PATH FINDING IN VEHICLE NAVIGATION CONSIDERING TURN PENALTIES AND PROHIBITIONS. Gang HAN, Jie JANG, Jun CHEN
  • DEVELOPMENT OF DYNAMIC MANAGEMENT SPATIAL-TEMPORAL INFORMATION SYSTEM AND APPLICATION FOR CENSUS DATA- TOWARD ASIAN SPATIAL TEMPORAL GIS (ST-GIS) (2)-. Michinori HATAYAMA, Shigeru KAKUMOTO, Hiroyuki KAMEDA
  • MODELING LAND USE EFFECT ON URBAN STORM RUNOFF AT THE WATERSHED SCALE. Chansheng HE
  • EXTRACTION OF THE SEA OIL INFORMATION FROM TM AND AVHRR IMAGE BY THE METHOD OF FEATURE DATA LINE -WINDOW. Fengrong HUANG
  • THE APPLICATION OF NEURAL NETWORK AND FUZZY SET TO CLASSIFICATION OF REMOTELY SENSED IMAGERY. Dongmin HUO, Jingxiong ZHANG, Jiabing SUN
  • A SELF-ADAPTIVE ALGORITHM OF AUTOMATIC INTERIOR ORIENTATION FOR METRIC IMAGES. Wanshou JIANG, Guo ZHANG, Deren LI
  • DETECTION OF SHEER CHANGES IN AERIAL PHOTO IMAGES USING AN ADAPTIVE NONLINEAR MAPPING. Yukio KOSUGI, Munenori FUKUNISHI, Mitsuteru SAKAMATO, Wei LU and Takeshi DOIHARA
  • EFFECTIVENESS OF MENU-DRIVEN VS. SCRIPT-BASED GIS TUTORIAL SYSTEMS. Bin LI
  • BUILDING OF B/S-BASED OBJECT ORIENTED ELECTRONIC CHART DATABASE. Guangru LI, Shaopeng SUN, Depeng ZHAO
  • MINE GIS 3D DATA MODEL AND SOME THINKING. Q. Y. LI, D. Y. CAO, X. D. ZHU
  • THE RESEARCH OF THE INFINITELY VARIABLE MAP SCALE IN GIS. Yifan LI, Shaopeng SUN
  • RESEARCH ON INFORMATION AUTOMATIC GENERALIZATION WITH VARYING MAP SCALE. Yuanhui LI, Dan LIU, Yifan LI
  • QUANTITATIVE MEASURES FOR SPATIAL INFORMATION OF MAPS. Zhilin LI and Peizhi HUANG
  • AN ALGEBRA FOR SPATIAL RELATIONS. Zhilin LI, Renliang ZHAO and Jun CHEN
  • A STUDY ON THE EXTRACTION OF DEM FROM SINGLE SAR IMAGE. Mingsheng LIAO, Jie YANG, Hui LIN
  • A GIS-BASED ENVIRONMENTAL DECISION SUPPORT SYSTEM FOR THE ERHAI LAKE WATERSHED MANAGEMENT. Lei LIU, Gordon HUANG, and Jonathan LI
  • APPLICATION OF 4D AND ASSOCIATED ENABLING TECHNOLOGIES FOR URBAN DECISION SUPPORT SYSTEM. Rong LIU, Penggen CHENG, Zhuguo XING, Kaiyun LU
  • 3D RECONSTRUCTION OF A BUILDING FROM SINGLE IMAGE. Yawen LIU, Zuxun ZHANG, Jianqing ZHANG
  • AN INTELLIGENT GIS SEARCH ENGINE TO RETRIEVE INFORMATION FROM INTERNET. Zhe LIU, Yong GAO
  • AN ENHANCED TIN GENERATION METHOD FOR USING CONTOUR LINE AS CONSTRAINS. Wei LU, Takeshi DOIHARA
  • NON-LINEAR RECTIFICATION OF MAP WITH COLLINEAR CONSTRAIN. Wei LU, Takeshi DOIHARA
  • A STUDY ON VEHICLE POINT CORRECTING ALGORITHM IN GPS/AVL SYSTEMS. HongShan NIU, Jie XU, Hong LI
  • A SPATIO-TEMPORAL GEOGRAPHIC INFORMATION SYSTEM BASED ON IMPLICIT TOPOLOGY DESCRIPTION: STIMS. Yutaka OHSAWA, Atushi NAGASHIMA
  • APPLICATION OF VRML IN A DYNAMIC AND MULTI-DIMENSIONAL DIGITAL HARBOR. Mingyang PAN, Yifan LI, Depeng ZHAO
  • A COMMON DATA MODEL AND REQUESTING LANGUAGE FOR SPATIAL INFORMATION MARKETPLACES. Matthew Y. C. PANG, Wenzhong SHI, Geoffrey SHEA
  • TOPOLOGIC DATA STRUCTURE FOR A 3D GIS. Mattias Pfund
  • AUTOMATIC RECOGNITION AND LOCATION OF ROAD SIGNS FROM TERRESTERIAL COLOR IMAGERY. Sompoch PUNTAVUNGKOUR, Xiaoyang CHEN, Michiro KUSANAGI
  • A NEW STEREO MATCHING APPROACH USING EDGES AND NONLINEAR MATCHING PROCESS OBJECTED FOR URBAN AREA. Mitsuteru SAKAMOTO, Wei LU, Pingtao WANG
  • MINING SEQUENTIAL PATTERN FROM GEOSPATIAL DATA. Yin SHAN
  • THE ADVANCED GIS AND GPS TECHNOLOGIES TO BE USED IN THE LANCHANG BASIN AREA OF YUNNAN PROVINCE OF CHINA. Kun SHI
  • PRIMARY SPATIAL CHANGES. Hong SHU, Christopher GOLD and Jun CHEN
  • INCORPORATING 3D GEO-OBJECTS INTO AN EXISTING 2D GEO-DATABASE: AN EFFICIENT USE OF GEO-DATA. Jantien STOTER, Peter VAN OOSTEROM
  • A FRAMEWORK FOR AUTOMATED CHANGE DETECTION SYSTEM. Haigang SUI, Deren LI, Jianya GONG
  • BUILDING DISTRIBUTED GEOGRAPHIC INFORMATION SYSTEM FOR OCEAN TRANSPORTATION (GIS-OT). Shaopeng SUN, Guangru LI, Depeng ZHAO
  • COMPUTATION OF ACCURACY ASSESSMENT IN THE INTEGRATION OF PHOTOGRAPH AND LASER DATA. Taravudh TIPDECHO & Xiaoyong CHEN
  • PROXIMITY AND ACCESSIBILITY TO SUITABLE JOBS AMONG WORKERS OF VARIOUS WAGE GROUPS. Fahui WANG
  • WEB MAPPING WITH GEOGRAPHY MARKUP LANGUAGE. Xingling WANG, Chongjun YANG, Donglin LIU
  • INTEGRATION OF COMPACTNESS MEASUREMENT METHODS USING FUZZY MULTICRITERIA DECISION MAKING : A NEW APPROACH FOR COMPACTNESS MEASUREMENT IN SHAPE BASED REDISTRICTING ALGORITHM. Yinchai WANG
  • GIS-BASED SYSTEM FOR RAINFALL ESTIMATION USING RAINGAUGE DATA: A PROTOTYPE. Yinchai WANG, Teck Kiong SIEW
  • A NEW APPROACH FOR DISTRIBUTED GIS. Yuxiang WANG, Chongjun YANG, Donglin LIU
  • GEOD2D: A FLEXIBLE SOLUTION FOR GIS DATA EXCHANGE BASED ON COM. Huayi WU, Xinyan ZHU
  • GEOLOGICAL DATA ORGANIZATION FOR FEM BASED ON 3D GEOSCIENCE MODELING. Lixin WU, Enke HOU, Chunan TANG
  • DIGITAL MODEL AND GPS BASED PATH REPRESENTATION AND OPTIMIZATION. Linyuan XIA
  • AN COMPOSITE TEMPORAL DATA MODEL IN CADASTRAL INFORMATION SYSTEM. Changsheng XUE, Qingquan LI, and Bisheng YANG, Yuanchun HUA, Shiwu XU
  • A SPATIAL-TEMPORAL DATA MODEL FOR MOVING AREA PHENOMENA. Shanzhen Yl, Yong ZHONG, Lizhu ZHOU, Jun CHEN, Qilun LIU
  • CONSTRUCTION OF 3D MODELS FOR ELEVATED OBJECTS IN URBAN AREAS USING AIRBORNE SAR POLARIMETRIC DATA. Yalkun YUSUF, Masashl MATSUOKA, Fumio YAMAZAKI, Seiho URATSUKA, Tatsuharu KOBAYASHI, Makoto SATAKE
  • COASTAL GIS: FUNCTIONALITY VERSUS APPLICATIONS. Thomas Q ZENG, Qiming ZHOU, Peter COWELL and Haijun HUANG
  • CIS AIDED CHARACTERIZATION OF SOIL AND GROUNDWATER ARSENIC CONTAMINATION IN SOUTHERN THAILAND. Jianjun ZHANG, Xiaoyong CHEN, Preeda PARKPIAN, Monthip Sriratana TABUCANON, Janewit WONGSANOON, Kensuke FUKUSHI, Skorn MONGKOLSUK and N.C.THANH
  • MULTIRESOLUTION TERRIAN MODEL. Jin ZHANG
  • A TROUS WAVELET DECOMPOSITION APPLIED TO DETECTING IMAGE EDGE. Xiaodong ZHANG, Deren LI
  • RESEARCH OF THE LAND MANAGEMENT INFORMATION SYSTEM BASED ON WEB GIS AND SPATIAL DATABASES FOR PROVINCIAL AND LOCAL GOVERNMENTS IN CHINA. Junsan ZHAO, Yaolong ZHAO, Qiaogui ZHAO and Tao WEI
  • ANALYSING BRANCH BANK CLOSURES USING GIS AND THE SMART MODEL. Lihua ZHAO, Barry J. GARMER
  • QTM-BASED ALGORITHM FOR THE GENERATING OF VORONOI DIAGRAM FOR SPHERICAL OBJECTS. Xuesheng ZHAO, Jun CHEN
  • MODELING AND LANDSCAPE OF HIGHWAY CAD. Jiaqing ZHENG, Xi’an ZHAO, Chujiang CHEN
  • ASSISTING THE DEVELOPMENT OF KNOWLEDGE FOR PREDICTIVE MAPPING USING A FUZZY C-MEANS CLASSIFICATION. A-Xing ZHU, Edward ENGLISH
  • THE DESIGN AND IMPLEMENTATION OF CYBERCITY GIS (CCGIS). Qing ZHU, Deren LI, Yeting ZHANG, Hanjiang XIONG
  • 3D COMPUTER SIMULATION OF ANCIENT CHINESE TIMBER BUILDINGS. Yixuan ZHU, Jie YANG, Deren LI
  • 3D MODELLING FOR AUGMENTED REALITY. Siyka ZLATANOVA
  • THE DESIGN OF SPATIAL DATA WAREHOUSE. Yijiang ZOU
  • AUTHOR INDEX
  • Cover

Full text

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001 
359 
This suggests that the arsenic in shallow groundwater may 
come from the recharge of surface water due to precipitation. 
3.2 ARSENIC LEVEL IN DEEP GROUNDWATER 
The deep groundwater is the water from the lower aquifer, 
normally from depth 15m to 50m in study area. The map of 
total arsenic level in deep groundwater was also interpolated. 
The area with arsenic level higher than 50 ppb is 7,057,125 m 2 
that occupies 83.93% of the total interpolated. On the other 
hand, the area with arsenic level lower than 50 ppb is 
1,351,475 m 2 , stands for 16.07%. This showed the 
contamination situation in deep groundwater was very severe. 
The mean value of total arsenic was 0.26 ppm, 5.2 times 
higher than limit. These maps also showed the highest arsenic 
zone with the highest value 4.01 ppm. (Fig. 3) 
The map in Fig. 3 shows the hot spots to be mostly in the 
vicinity of foot hill concentrator, where huge amount of mining 
waste were dumped along the river bank. The sample with the 
highest arsenic level is also observed at this site. The other 
sample sites with higher arsenic level were located among the 
center of study area, where waste dump sites are present. 
Comparing with the shallow groundwater arsenic level, this 
map shows a larger area with arsenic level higher than 50 ppb. 
In order to testify the relationship between the mining waste 
sites and arsenic level in deep groundwater, a correlation test 
shows a slightly correlative relationship between the distance 
to mining and waste sites and the arsenic level in deep 
groundwater (R=-0.661, P<0.05, Table 2). This result suggests 
that the pollution mechanism in varied aquifer may be different. 
3.3 ARSENIC LEVEL IN SOIL 
The total arsenic concentration (soil elution) in surface soil 
(30cm underground) was displayed in Fig. 4. The area with 
elution arsenic level higher than 50 ppb was 2,694,675 m 2 , 
occupied 32.05%. While the area with elution arsenic level 
lower than 50ppb was 5,713,925 m 2 , the percentage is 67.95% 
in total area. The mean arsenic elution level was 87.83 ppb, 
with the highest value 1570ppb. Provided the surface soil in 
study area is 1-2 meters deep (average 1.5meter), the total 
contaminated soil would add up to 4,042,012.5 m 3 . Due to the 
lack of arsenic standard in soil, it was hard to say whether it 
was polluted or not, so, the elution arsenic level was only used 
as reference. Correlation test between surface soil elution 
arsenic level with distance to mining and waste site show a 
very strong significance within 300 meters range(R=-1,Table 
3). However, from the source to 1,000 meters range, a less 
significance was observed(R=-0.636, P<0.05, Table 3). This 
strongly suggests that the mining and waste sites are the 
major pollution source for surface soil arsenic pollution. 
3.4 ARSENISM PATIENTS’ DISTRIBUTION AND 
GEOLOGICAL FEATURES 
Arsenism patients’ distribution map was displayed in Fig.5. On 
this map, it is hard to see the relation between mining and 
waste sites with the location of patients’ occurring. But, after 
overlay of surface soil type, arsenic level in groundwater, 
arsenic level in surface soil, it shows that the patients appear 
only at the area with sandy surface soil and arsenic level in 
shallow or deep groundwater above 50ppb, arsenic in soil 
elution above 50 ppb. The arsenic level in shallow and deep 
groundwater within the zone of arsenism patient is significantly 
higher than outside zone, while the difference of arsenic level 
in surface soil elution inside or outside the patients’ zone is not 
significant (Table 4). This indicates the major pathway of 
arsenism is through drinking water, while the inhalation and 
ingestion of soil dust may be less important. 
3.5 DYNAMIC CHANGES OF ARSENIC LEVEL IN 
SHALLOW GROUNDWATER IN DRY AND RAINY SEASON 
In order to observe the arsenic pollution situation between dry 
and rainy season, the interpolated map of arsenic level in 
shallow groundwater in both seasons was compared. In dry 
season, the mean arsenic level is 1.06 ppm with the highest 
value 13 ppm. The area with arsenic level higher than 50 ppb 
is 8,372,075 m 2 occupies 99.57% of the total interpolated area. 
Comparing with rainy season, the polluted area increases by 
2,291,625 m 2 . The reason why the arsenic pollution extends 
from rainy season to dry season is supposed as: in rainy 
season, the recharge of groundwater from precipitation is 
huge, at the mean time, arsenic amount flushed into surface 
runoff and eventually into groundwater increase 
simultaneously. But, due to the huge volume of groundwater, 
the mean arsenic level in groundwater is relatively low. While 
in the dry season, recharge to groundwater is low and 
évapotranspiration became huge. This results in the relatively 
higher arsenic level in groundwater. The extension of arsenic 
containing aquifer area is contributed to the dispersion of 
groundwater along its flow direction. Considering the arsenic- 
increasing location of groundwater, it is found that most of 
such locations are at the eastern part of study area where is a 
plain area and the groundwater flow velocity is slow. But the 
clearer mechanism of pollution extension is far more complex 
than this, which needs further study later. 
3.6 ARSENIC LEVEL IN SURFACE WATER 
40 river water samples and 5 pond water samples were taken 
for the measurement of total arsenic. The arsenic level In river 
water is from 0.02 to 0.62 ppm, mean value 0.11 ppm, pond 
arsenic from 0.04 to1.1 ppm, mean value 0.33ppm. Because 
the exchange between river and groundwater, river may 
interfere the groundwater arsenic concentration in some 
extent. Table 5 shows that within 600 meters, groundwater 
arsenic is decreasing significantly with the increasing of 
distance to river. 
4. CONCLUSIONS 
The arsenic pollution situation in Ron Phibun district, Nakhorn 
Si Thammarat Province was depicted with GIS help. The 
groundwater arsenic concentrations had a large distribution 
ranging from 0 to 64 ppm throughout the study area. The 
mappings of the groundwater arsenic concentrations in study 
area showed that groundwater arsenic concentrations tend to 
be higher in the vicinity of mining waste and dump sites than 
the other parts. These were approved to be the arsenic 
pollution sources in study area. Taking into consideration of all 
measured environmental media, shallow groundwater, deep 
groundwater, the pollution situation was rather severe based 
on the WHO recommended drinking water limit (0.05mg/L). 
Due to the lack of standard of soil arsenic and background 
arsenic value in study area, the arsenic level of soil elution in 
this study is only of reference for arsenic contamination. The 
GIS database could be used for the local government to guide 
the action for arsenic alleviating, monitoring of arsenic level, 
provide support for decision-making. As to the severity of 
arsenic pollution in groundwater, it is strongly suggested that 
the groundwater should be treated efficiently to lower the 
arsenic level in it. Mining waste and dump as well as the 
contaminated soil should also be removed out in order to get 
rid of the pollution sources. Alternative drinking water must be 
found because of the current high arsenic content in 
groundwater. 
5. ACKNOWLEDGES 
The authors gratefully acknowledge the ERTCTThailand for 
providing data on arsenic level in surface and groundwater, 
soil and geological information. We thank the STAR/AIT 
program for providing GIS process facilities 
6. REFERENCES 
Ahmadul Hassan and Timothy Martin, Spatial information 
systems for arsenic mitigation programs( International 
conference on arsenic pollution of ground water in 
Bangladesh: causes, effects and remedies, Abstracts Date: 8-
	        

Cite and reuse

Cite and reuse

Here you will find download options and citation links to the record and current image.

Monograph

METS MARC XML Dublin Core RIS Mirador ALTO TEI Full text PDF DFG-Viewer OPAC
TOC

Chapter

PDF RIS

Image

PDF ALTO TEI Full text
Download

Image fragment

Link to the viewer page with highlighted frame Link to IIIF image fragment

Citation links

Citation links

Monograph

To quote this record the following variants are available:
Here you can copy a Goobi viewer own URL:

Chapter

To quote this structural element, the following variants are available:
Here you can copy a Goobi viewer own URL:

Image

To quote this image the following variants are available:
Here you can copy a Goobi viewer own URL:

Citation recommendation

Chen, Jun. The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics. AIT, 2001.
Please check the citation before using it.

Image manipulation tools

Tools not available

Share image region

Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

Contact

Have you found an error? Do you have any suggestions for making our service even better or any other questions about this page? Please write to us and we'll make sure we get back to you.

How many letters is "Goobi"?:

I hereby confirm the use of my personal data within the context of the enquiry made.