HUMAN IMPACT ANALYSIS ON LAND-COVER IN CENTRAL REGION OF MONGOLIA - - PowerPoint PPT Presentation

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NATIONAL UNIVERSITY OF MONGOLIA NUM-ITC-UNESCO REMOTE SENSING AND GIS LABORATORY HUMAN IMPACT ANALYSIS ON LAND-COVER IN CENTRAL REGION OF MONGOLIA Tungalag A, Tsolmon R Ulaanbaatar, Mongolia ENVIROMIS Conference, Tomsk, Russia 10 July

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NATIONAL UNIVERSITY OF MONGOLIA “NUM-ITC-UNESCO” REMOTE SENSING AND GIS LABORATORY

HUMAN IMPACT ANALYSIS ON LAND-COVER IN CENTRAL REGION OF MONGOLIA

Tungalag A, Tsolmon R Ulaanbaatar, Mongolia

ENVIROMIS Conference, Tomsk, Russia 10 July 2010

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Mining activity (Ongi River Basin)

Objectives

To monitor land degradation in mining area using Remote Sensing and GIS To analyze contribution factors to land degradation in the study area

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Study area

It is one of the

important rivers in the area for the livestock breeding for the local people.

Main environment

concern is the river is drying up and starting to interrupt since 1998.

Location E101044’24’’- E104030’00” N44022’48” - N46041’24”

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NDVI

y = -0.0202x + 0.468

0.2 0.4 0.6

precipitation

y = 0.4339x + 45.433

20 40 60 80

temperature

y = 0.0279x + 14.887

5 10 15 20

population

y = 465.13x + 6206.

5000 10000 15000

mining

y = 2.7212x + 1.5333

10 20 30 40

goat

y = 5376.3x + 14479

20000 40000 60000 80000 100000

Factors in land degradation

Data

1. SPOT VEGETATION 4 1km data from June to August 1998-2007.
2. Statistical data for socio-economic, climate data and ground truth data were used for

GIS analysis.

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Methodology

MSAVI2 = 2NIR +1" 2NIR +1

( )

2 " 8 NIR " RED

( )

# $ % & ' ( /2

Remote Sensing analysis Huete (1998) suggested a new vegetation index, which was designed to minimize the effect of the soil background, which he called the soil-adjusted vegetation index (SAVI) developed of an iterated version of this vegetation, which is called MSAVI2 Map Algebra Con function

I. con ( [goat] > 20000, con ([msavi] < 0.35, 1, 0) ,0)
II. con ( [population] > 6500, con ([mining activities] > 1, 2, 0) ,0)
III. con ( [temperature > 16, con ([precipitation] < 10, 3, 0) ,0)

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6 Degradation value Vegetation temperature precipitation population mining activity goat

Output raster data set of the condition map

Data analyze

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Change of vegetation using MSAVI2 index between years 1998-2007 in the study area

Data analyze

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Results

Land degradation conditional statement maps

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