Proceedings of 7th WS

7/21/2019 Proceedings of 7th WS

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NUM-ITC-UNESCO

LABORATORY FOR REMOTE SENSING AND SPACE

SCIENCE

National University of Mongolia

ProceedingsThe 7

thInternational Workshop on Remote Sensing

and Environmental Innovations in Mongolia

16-17 June 2014

Ulaanbaatar, Mongolia


3/23

ORGANIZED and SUPPORTED BY

NATIONAL UNIVERSITY OF

MONGOLIA

"NUM-ITC-UNESCO"

LABORATORY FOR SPACE

SCIENCE AND REMOTE

SENSING

MONGOLIAN

ENVIRONMENTAL CIVIL

COUNCIL


4/23

Welcome message

The 7th International Workshop on Remote Sensing andEnvironmental Innovations in Mongolia will be held June 16-

17, 2013 in Ulaanbaatar, Mongolia. The NUM-ITC-UNESCO

Remote Sensing and Space Science Laboratory of the National

University of Mongolia is the local organizer of the workshop.

The workshop will provide an opportunity to discover cutting-

edge geo-information technology and applications, while at thesame time exchanging ideas, research results, professional

experiences, and future visions in the fields of environmental

innovation, remote sensing/GIS applications for environmental

studies.

Mongolias changing lifestyles are intensifying pressures on the

countrys environmental issues such as overgrazing, pollution

from industrial and urban growth, desertification, and forest and

steppe fire. Mongolia is prone to various natural processes that

are driven by global climate change like drought, dzud, flood,

intensive shift of the natural zones and other natural disasters. In

addition, an inadequate attitude of human with its surrounding

environment, results in uncontrolled fire occurrence,deforestation, dry up of rivers and water sources.

Increasing awareness on applications of Remote Sensing and

GIS raises demand for satellite data to address Mongolian

environmental problems. Advances in Remote Sensing a


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`

The program for the 7th

International Workshop on Remote

Sensing and Environmental Innovations in Mongolia

Programe of the Workshop

FIRST DAY, June 16, 2014 - National Uni versity of Mongolia, Ulaanbaatar,

Mongolia

Special Session 1: Development of small satellite and its application

13

30

-14

00

Registration

1400-1530 John L. Polansky, Ph.D Laboratory of Spacecraft

Environment Interaction

Engineering

Kyushu Institute of

Technology

Application

of small

satellite

1530-1600 Tea and coffee break

1600-1620 Erdenebaatar Dashdondog1,

Margad-Erdene Jargalsaikhan2

Munkh-Erdene Zorigbold3,

Sukhbuyan Galch4,

Yerenbaatar Munkhbat5,

Dashdemberel Purevjal6,

Erkhet Vanchinkhuu7

National University of

Mongolia

Development of

a telemetry

CanSat in 2014

1620

-1640

Discussion


7/23

The program for the 7th

International Workshop on Remote

Sensing and Environmental Innovations in Mongolia

Programe of the Workshop

SECOND DAY,June 17, 2014 - National University of Mongol ia, Ulaanbaatar, Mongolia

830-900 Registration

900-920 Welcome speech

Tsolmon Renchin - Workshop chair: Professor, National University of Mongolia

Opening speech

J.BatkhuuDean of Science and Innovation in National University of Mongolia

S.DamdinsurenDean of Mongolia Environmental Civil Council

920-940 Keynote speaker

Togtokh ChuluunProf of National university of Mongolia

"Environmental innovations for Mongolia and globally "

Session 1

940-1000 Takahashi

Yukihiro

Hokkaido university, Japan Space technology

1000-1020 B.Suvdantsetseg

R.Tsolmon

NUM-ITC-UNESCO

laboratory for Space Science

and Remote Sensing,


Mongolia

Geo-information

technology for

Mongolian pastoral

adaptation system and

space engineering

education program


8/23

1020-1040 Inakwu O.A. Odeh Department of Environmental

Sciences, Faculty of

Agriculture & Environment,

the university of Sydney,

Australia

Estimating urban

vegetation carbon

storage using remote

sensing and model

simulation.

1040-1100 Coffee break

1100-1120 Oyudari V NUM-ITC-UNESCO


and Remote Sensing,


Mongolia

Estimation of air

pollution pm10 and

pm2.5

using by geographic

information system in

Ulaanbaatar city

1120-1140 G.Undram NUM-ITC-UNESCO


and Remote Sensing,


Mongolia

Geological mapping

uses Landsat 4-5TM

satellite data in Manlai

soum of Omnogovi

aimag

1140-1200 M.Selenge NUM-ITC-UNESCO

laboratory for Space Scienceand Remote Sensing,


Mongolia

Land cover change

mapping in somemining areas of

Mongolia

1200-1400 Lunch time

Session 2

1400-1420 Ts.Oyun-Erdene NUM-ITC-UNESCO

laboratory for Space Scienceand Remote Sensing, National

University of Mongolia

Methodology for

disaster earlywarning by using

mobile and

internet based

system

1420-1440 Javkhaa G.,

Bolorchuluun

NUM, Department of

Geography

3D urban visual

simulation for

multipurpose


9/23

Ch.

1440-1500 B.Kherlenbayar NUM-ITC-UNESCO


and Remote Sensing, National


Dzud mapping

using remote

sensing

1500-1520 A Tsolmon NUM-ITC-UNESCO


and Remote Sensing, National


Determination of

change detection

in Telmen lake

using remote

sensing data

1520-1550 Tea and coffee break

1550-1610 N Namuun

O Batgerel

NUM-ITC-UNESCO

laboratory for Space

Science and Remote

Sensing, National


Determination of

wildlife migration

ecological corridor in

Bogdkhan mountain

strictly protected area

by remote sensing and

geographic

information system

1610-1630 Ts Burenjargal

N Enkhjargal

D Battulga

Environmental Inspection

agency

NUM-ITC-UNESCO


Science and Remote

Sensing, National


Mining waste

reduction

opportunities

1630-1650 N.Uranshagai

R.Tsolmon

NUM-ITC-UNESCO


Science and Remote

Sensing, National


Research of

distribution anthrax

which registered in

Khentii Province

1650-1710 B.Gunjargal

R.Tsolmon

NUM-ITC-UNESCO


Science and Remote

Sensing, National

Determination of land

surface water change

using Remotely sensed

data in Center part of


10/23

University of Mongolia Mongolia

1710-1730 Panel discussion

1730-1740 Closing speech

Poster session:

Second Day, June 17, 2014 - National University of Mongolia, Ulaanbaatar, Mongoli a

1050-1120 Ariunzul

Yangiv1Ulaanbaatar

Tarzad2Bayartungalag

Batsaikhan3Gantsetseg

Jargalsaikhan3

Mongolian University of

Science and Technology

Define the water

pollution of

Zaamar soums

Tuul River by

remote sensing

method

Ariunzul Yangiv1,

Tseepil Avirmed2

Enkhtsetseg Batmonkh3

Mongolian University of

Science and Technology

Defining the change

of forest ecosystem

by remote sensingmethod in Khangal

soum, Bulgan

province

Saruultuya

Lkhagvasuren1,

Ariunzul Yangiv 2

Eko-Azi university Determine Soil

Degradation in the

mining impacted

area, Zaamar

province

B.Saykhuu Mongolian state university

of agriculture, ecology

technology development

school

Properties and

Evaluation of the

widespread soil in

the land of Gobi-

Sumber province

Delgermaa Mongolian Environmental

Civil council


11/23

LAND COVER CHANGE MAPPING IN SOME

MINING AREAS OF MONGOLIAM.SELENGE

1, R.TSOLMON

2, MARTIN KAPPAS

3

1,2 NUM-ITC-UNESCOInternational Laboratory forRemote Sensing and

Space Science, National University of Mongolia

Street of university, Ulaanbaatar, 38625 Mongolia

Tel: 976-77307730-1311,Fax: 976-11-329993

e-mail:[email protected]: Professor, Institute of Geography, Cartography, GIS and Remote

Sensing Dept, University of Gttingen, room 477, Goldschmidtstr. 5, 37077

Gttingen, Germany, Phone: +49(0)551/39-8071, Fax: +49(0)551/39-8020,

Email:[email protected]

Remote Sensing and GIS used to monitor interactions and relationships

between land use and land cover changes in the regional area of Umnugobi

province (South Gobi). This study aims to determine the land degradation

condition in the 15 soums (administrative unit) of the study area Umnugobi

province. Using GIS processing of data climate drivers (precipitation, air

temperature, vegetation data) and socio-economic factors (livestock number,

population number, mining activities) were analyzed. We focused on

developing a modeling approach for monitoring land degradation using

GIS and Remote Sensing tools by integration natural and socio-economic

data. The vegetation index NDVI from SPOT/VEGETATION was used to

determine vegetation cover change for the period 2000 to 2013. Landsat data

for the years 2010 and 2013 and were analyzed to derive and classify hot

spot areas of land degradation. GIS conditional functions were used for

mapping and analyzing climate and socio-economic driving factors, which

both affect land degradation. Conditional functions such as CON was

developed using ground truth data and data from National Statistics. Our

study documents that 60 percent of the study area are affected by human and

climate drivers on the land degradation.

KEY WORDS: socio-economic, mineral resources, degradation,

biodiversity, NDVI
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


12/23

3D URBAN VISUAL SIMULATION FOR

MULTIPURPOSE

Javkhaa G., Bolorchuluun Ch.

NUM, Department of Geography

[email protected],[email protected]

3D visual models are increasingly used for the presentation, exploration, and

evaluation of urban and architectural designs. A city model is important to

representing urban issues in a clear manner to the relative stakeholders.

Computer advances in recent decades have contributed to the emergence of

three dimensional urban simulation, which studies urban environment based

on virtual models of physical reality. This article discusses methods of 3D

urban simulation for urban planning and design in order to understand their

potential, capabilities, limitations and concerns about the validity of

simulation outcome.
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


13/23

DETERMINATION OF CHANGE DETECTION IN

TELMEN LAKE USING REMOTE SENSING DATA

A.Tsolmon1, R.Tsolmon2, Shinkyu Kang31,2

NUM-ITC-UNESCOInternational Laboratory forRemote Sensing and

Space Science, National University of Mongolia, School of Arts and Sciences,

Department of Physics3

Department of Environment Science, Kangwon National University,

Chuncheon

200-701, Republic of Korea

Climate change is changing and ice caps and ice rivers are reducing due to

reasons such as global warming which caused by the humankind. Remote

sensing and GIS will be used to determine the impact of glacial changes on

vegetation and lake water. Surface cover change of Telmen lake was

determined using LANDSAT satellite data from the last 20 years (1987, 1989,

1991, 1994, 1995, 1998-2013 ). During field trip, ground survey data was

collected and brought to compare with satellite data. The results were used

for determination of surface cover change of Telmen lake. The area of survey

is Telmen Lake which is located between Nomrog and Telmen soums of

Zavkhan province.

Keyword: Landsat, NDVI, classification, GIS


14/23

DEVELOPMENT OF A TELEMETRY CANSAT IN 2014

Erdenebaatar Dashdondog1, Margad-Erdene Jargalsaikhan

2Munkh-Erdene

Zorigbold3, Sukhbuyan Galch4,Yerenbaatar Munkhbat

5, Dashdemberel Purevjal

6, Erkhet Vanchinkhuu

7

Applied Physics department, School of Physics and ElectronicsNUM,

Ikh Surguuliin Gudamj 1, P.O.Box 46a/523, 210646 Ulaanbaatar, Mongolia

Tel/Fax: 976-11-329993

Email:[email protected],[email protected]

This paper presents design, electronic system and data processing of an

advanced level Telemetry CanSat whose primary purpose is to collect and

transmit data from the flight and therefore weather conditions are processed

by a ground station in a real time. We used microcontroller, pressureand

temperature sensors, humidity sensor, 3-axis accelerometer, small key ring

camera, GPS, and 2.45 GHz RF communication module to communicate

with Yagi-Uda antenna and ground stations PC. Also 3application

programsare developed in this work for data processing and flight control.

Those aresoftwareprocessed GPS data analysis, 3D motion tracking with

accelerometer and gyroscope, sensor data analysis using Processing and Java.

Asystem programming, electronic circuit design and test results are presented

in this paper.

Keywords: Cansat2014 in Mongolia, cansat electronic, GPS, microcontroller,

pressure and temperature sensors, humidity sensor, 3-axis accelerometer.
http://localhost/var/www/apps/conversion/tmp/scratch_9/[email protected]://localhost/var/www/apps/conversion/tmp/scratch_9/[email protected]://localhost/var/www/apps/conversion/tmp/scratch_9/[email protected]:[email protected]:[email protected]:[email protected]:[email protected]://localhost/var/www/apps/conversion/tmp/scratch_9/[email protected]


15/23

GEOLOGICAL MAPPING USES LANDSAT 4-5TM

SATELLITE DATA IN MANLAI SOUM OF OMNOGOVI

AIMAG

Undram.G (Master), Tsolmon.R (PhD), Ariunzul.Ya (PhD), Bayartungalag

(Doctorate), Bayanmonkh (Master)


Space Science

of National University of Mongolia

Department of Physics and Electronics

Geologic map is the most important map for mining when it does exploration

job. In Mongolia geological map completed by Russian geologists which is

done by earlier technology.Those maps doesn't satisfy for present

requirements. Thus we want to study improve geological map which includes

fracture, structural map and lithology use Landsat TM4-5 satellite data. If we

can produce a geological map from satellite data with more specification then

geologist can explain or read mineralogy very easily. We searched all

methodology and researches of every single element of geological mapping.

Then we used 3 different remote sensing methodologies to produce structuraland lithology and fracture map based on geographic information systems

softwares. There can be found a visible lithology border improvement and

understandable structural map and we found fracture of the Russian

geological map has a lot of distortion.

The result of research geologist can read mineralogy elements very easy and

discovered 3 unfound important elements from satellite image.

KEY WORDS: geology, mineral resources, fracture, structure, lithology


16/23

DZUD MAPPING USING REMOTE SENSING

B.Kherlenbayar

1

, R.Tsolmon

2

, B.Suvdantsetseg

3

, S.Enkhbat

4

1MSc student NUM-ITC-UNESCOInternational Laboratory forRemote

Sensing and Space Science, National University of Mongolia, NUM building

1, Room 401, Sukhbaatar district, Mongolia; E-mail:

[email protected] NUM-ITC-UNESCOInternational Laboratory forRemote

Sensing and Space Science, National University of Mongolia, NUM building

1, Room 401, Sukhbaatar district, Mongolia; E-mail:

[email protected] NUM-ITC-UNESCOInternational Laboratory forRemote Sensing

and Space Science, National University of Mongolia, NUM building1,

Room 401, Sukhbaatar district, Mongolia; E-mail:[email protected] specialist at Mongolian Livestock Early Warning System project,

Mongolia;

E-mail:[email protected]

Mongolian influence of climate change on the world's livestock sector on alarge scale, the frequency affected by dzud has caused significant social and

economic damage in this study was due to commence. Thus, dzud for herders

and related risk management needs to be informed in advance to warn dzud

situation. The main objective of this study using remote sensing and

geographic information systems to dzud of pre for model design zud. The

data used for the snow thickness, minimum temperature and forage deviation

data and these ArcGIS the program Model builder programming methods

used in the design of dzud model. Of the Early model white zud from 0 to +5level up, black dzud -2 isolated from level 0. Dzud map created in gobi

region 8 provinces based on dzud situation occurred between 2009-2010 and

then compared the results of the model with the map of dzud affected soums,

the area with high level of dzud is almost matching with livestock loss.

Keywords: Dzud map, dzud model, livestock, model, affect
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


17/23

DETERMINATION OF WILDLIFE MIGRATION

ECOLOGICAL CORRIDOR IN BOGDKHAN

MOUNTAIN STRICTLY PROTECTED AREA BYREMOTE SENSING AND GEOGRAPHIC

INFORMATION SYSTEM

1NAMUUNAA M,

2BATGEREL O,

3TSOLMON R

1,2,3National University of Mongolia school of Physics and electronics

NUM-ITC-UNESCOInternational Laboratory for Remote Sensing and

Space Science

The objective of this research is to determine the ecological corridor in

Bogdkhan mountain strictly protected area. NDVI (Normalized Difference

Vegetation Index) and NDWI (Normalized Difference Water Index) was

calculated by 30m resolution LANDSAT TM satellite data (July 02, 2011).

The corridor that is possible to flow water, was calculated using the 1.5 arc

second elevation resolution ASTER GDEM satellite data. The Wildlife

distribution and numbers were calculated based on fieldtrips and other

scientists research work. When Overlap Ranking Model of above 3

criterions or Ranking Model are calculated, total 13 ecological corridor areas

were nominated. After that, impact of the settlement was added on the

nominated corridors, and finally 7 ecological corridors left. These 7

ecological corridors were compared with the fieldtrip and correlation

equation was calculated. Correlation coefficient was r=0.6684. It means that

fieldtrip and above method were defined 66.8% same. Correlation coefficient

was a positive; therefore the register analysis was carried out in order to

determine the linearity. Determination coefficient was R2=0.4467. Therefore

it is a dependent linearity or appropriated.

Keywords: Ecological corridor, NDVI, NDWI, Strictly Protected Area,

Habitat, Drainage Line


18/23

PROPERTIES AND EVALUATOIN OF THE

WIDESPREAD SOIL IN THE LAND OF GOBI-SUMBER

PROVINCE

Saykhuu.B2, Oyunchimeg.T

1

Mongolian state university of agriculture, ecology technology development

school

The basic of the researching: The structure of the soil is erosion and it

became worse, because of soil erosion is influenced by the change of

nature , climate and human wrong activity. The soil erosion and its plant

cover is destroyed by the influence of human wrong activity in the GobiSumber region in last years. The ruin of the Russian soldiers residence, and

many dig holes of exploitation of sand, brash and coal as a common usefulresource/ minerals/, that is why. Thus, there is most important is soil

exploration and determine the dirt of the soil and rescue the soil of Gobi-

Sumber in the nearly future.


19/23

DEFINE THE WATER POLLUTION OF ZAAMAR

SOUMS TUUL RIVER BY REMOTE SENSING

METHOD

ARIUNZUL Yangiv1ULAANBAATAR Tarzad

2BAYARTUNGALAG

Batsaikhan3and GANTSETSEG Jargalsaikhan

3

1Doctor, Head of Environmental Information Study Research Center,

building 51-402, Chingeltei, Ulaanbaatar, MongoliaMongolia; Tel: +976-99175014, E-mail:[email protected]

2Professor, Material Technology School, Mongolian University of Science

and TechnologyMongolia; Tel: +976-99045799, E-mail: [email protected]

3Doctorand, PhD Student at Korea University of South Korea

E-mail: [email protected],Student at Mongolian University of Science and Technology,

building 1, Sukhbaatar, Ulaanbaatar, Mongolia

Mongolia; Tel: +976-99753747,

E-mail:[email protected]

Define the water pollution of Zaamar soums Tuul River by remote sensingmethod identified the water pollution of around Zaamar soums Tuul River

with in this topic. Research methodology is field scaling, instance, laboratory

test method and calculate index using Landsat satellites year of 2005 and

2011 data.

KEY WORDS: Zaamar, Tuul river, NDWI, Water pollution, Remote

sensing
mailto:[email protected]:[email protected]:[email protected]:[email protected]


20/23

DEFINING THE CHANGE OF FOREST ECOSYSTEM

BY REMOTE SENSING METHOD IN KHANGAL SOUM,

BULGAN PROVINCE

ARIUNZUL Yangiv1, TSEEPIL Avirmed

2and ENKHTSETSEG Batmonkh

3

1Ph.D, Head of Environmental Information Study Research Center,building

51-402,Chingeltei, Ulaanbaatar, Mongolia

Mongolia: Tel: +976-99175014, E-mail:[email protected]

2Ph.D student, Department of Forest Research, Mongolian State

University,Environmental Pollution officer, Department of Environment andNatural Resources, Ministry of Environment and Green Development of

Mongolia, Government Building II, United Nations Street 5/2, Chingeltei,


Mongolia: Tel: +976-88110922, E-mail:[email protected]

3Bachelor student, Mongolian University of Science and Technology,

building 1, Sukhbaatar, Ulaanbaatar, Mongolia

Tel: +976-99200041, E-mail:[email protected]

Main goal of research was using Landsat satellite data for determination of

forest conditions and forest taxation. Selected research area was the Khangal

soum of Bulgan province, Mongolia.

KEY WORDS: Khangal soum, forest taxation, enhanced vegetation index,

remote sensing
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


21/23

DETERMINE SOIL DEGRADATION IN THE MINING

IMPACTED AREA, ZAAMAR PROVINCE

SARUULTUYA Lkhagvasuren1, ARIUNZUL Yangiv 23Bachelor student at Eko-Azi university, building 1, Bayanzurkh,


Tel:+976-99643216, E-mail:[email protected], Head of Environmental Information Study Research Center,

building 51-402, Chingeltei, Ulaanbaatar, Mongolia

Tel: +976-99175014, E-mail: [email protected]

We are focusing to determine soil degradation in the around Zaamar

province using Remote Sensing Methodology. We are using Landsat

satellite data calculating Soil Moisture Index and trying to develop

previous soil research. Our objective is:

1. Previous study of soil quality in mining impacted area,Zaamar province

2. To determine the soil characteristic using Landsat satellitedata.

3. To validate the results of field trip


22/23


23/23

ESTIMATION OF AIR POLLUTION PM10 AND PM2.5

USING BY GEOGRAPHIC INFORMATION SYSTEM IN

ULAANBAATAR CITY

1OYUDARI V,

2TSOLMON

1,2,3National University of Mongolia school of Physics and electronics


Space Science

KEYWORDS: PM10 and PM2.5 data, temperature, correlation, mapping

characterization, Interpolation, Ulaanbaatar city

Abstract: The objective of this research is to characterize and tomapping PM10 and PM2.5 air quality in Ulaanbaatar city using the

ground stations air quality data and Geographic Information System.Air pollution in Ulaanbaatar city in the form of Particulate Matter it

is very important to study air quality, those impacts are stronglyinfluence on environment air pollution and human health today.Ulaanbaatar is capital city of Mongolia where air pollution is getting

one of the most environmental severe problems. These sorts of humanimpacts of particulate matter on UB are unacceptable and I think most

people would already agree without hesitation that air pollution is abig problem in UB. Critical component of improving air quality is along term, well-funded air quality monitoring network that can helpmeasure how effective these methods are. Through better publicawareness about air pollution issues in UB, we can improve

Ulaanbaatars air quality monitoring infrastructure. The objective of

this research is to map air quality value and relationship between PM10 and PM2.5. In 2011 from PM10 and PM2.5 value were comparedwith winter season and with summer season. Air quality from 6stations PM10 data in 2012 were analyzed with ASTER DEM satellite

data in this research from 2011. All output maps has an Interpolatedusing IDW function in Geographic Information System from 2010 to

2012 years. We are also calculated correlation between PM10 andPM2.5 in 2011 year.

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