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

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

Objectives To monitor land degradation in mining area using Remote Sensing and GIS To analyze contribution factors to land degradation in the study area Mining activity (Ongi River Basin)

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 E101 0 44’24’’- E104 0 30’00” N44 0 22’48” - N46 0 41’24”

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. temperature precipitation NDVI y = 0.0279x + 14.887 y = 0.4339x + 45.433 y = -0.0202x + 0.468 20 80 0.6 15 60 0.4 10 40 0.2 5 20 0 0 0 population goat mining y = 5376.3x + 14479 y = 2.7212x + 1.5333 y = 465.13x + 6206. 15000 100000 40 80000 30 10000 60000 20 40000 5000 10 20000 0 0 0 Factors in land degradation

Methodology 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 # 2 " 8 NIR " RED & ( ) ( ) MSAVI 2 = 2 NIR + 1 " 2 NIR + 1 /2 % ( $ ' 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)

Data analyze Vegetation temperature precipitation population Degradation value mining activity 0 6 goat Output raster data set of the condition map

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

Results Land degradation conditional statement maps