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А.Цолмон, Р.Цолмон
NUM-ITC-UNESCO Сансар судлал, Зайнаас тандан
судлалын лаборатори, МУИС
Тэлмэн нуурын өөрчлөлт, түүнд
нөлөөлөх хүчин зүйлс
Introduction
In Mongolian rivers in recent years, climate change
implications. Mongolian's largest lake water level
increased from the beginning of 1990 to mid 1960, has
been declining in recent years.
Objective
1. To determine lake area change using satellite data
2. SPOT VEGEATATION satellite data used for vegetation
change in lake basin
3. To calculate the impacts of main socio-economic
activities on Telmen lake basin
4. To calculate the impacts of precipitation, drought and
temperature for Telmen lake area
Study area
Lake Telmen basin is located in
Khangai Province of Mongolia
(N48°50 E 97°19). The lake lies
near the boundary between the
forest–steppe and steppe ecosystem.
Surface elevation 1789m. The mean
annual precipitationis 250 mm.
Data
• Landsat TM, ETM+, OLI/TIRS
P138R26 =1986,1987,1989,1991,1994,1995, 1998 –
2014 between 6-9 year
• Spot Vegetation satellite data:
2000-2013 between 6 - 9 months 2,3 bands data
• Meteorological data (temperature, perception from
June-to September) 1993– 2013(Numrug station)
• Socio-economic data (population, livestock, crop and
forage area )
• Ground truth measurement data (2013, 2015 year)
Methodology
NDWI is defined as (Mcfeeters, 1996)
𝑵𝑫𝑾𝑰 =
𝑷 𝑮𝒓𝒆𝒆𝒏− 𝑷 𝑵𝑰𝑹
𝑷 𝑮𝒓𝒆𝒆𝒏+ 𝑷 𝑵𝑰𝑹
Where 𝑃𝐺𝑟𝑒𝑒𝑛 and 𝑃 𝑁𝐼𝑅 are the reflectance of the green
and NIR bands, respectively.
Research analysis
Classification SPI
1 Extremelywet 2
2 Very wet 1.50-1.99
3 Moderatelywet 1.00-1.49
4 Near normal 0.99-0.99
5 Moderatelydry -1-1,49
6 Severely dry -1.5-1.99
7 Extremelydry -2
The SPI is a drought index first developed
by T. B. McKee, N.J. Doesken, and J.
Kleist and in 1993 (McKee et al. 1993).
Research analysis
Classification Aridity index
Hyper arid AI˂0.05
Semi arid 0.05˂AI˂0.20
Arid 0.20˂AI˂0.50
Dry sub humid 0.5˂AI˂0.65
Aridity index
Dry index that was invented by De Martonne in 1926, expresses climate’s
humidity or dry condition in local area
Result
MSAVI-Modified soil adjusted vegetation index – Хөрснөөс хамаарсан ургамлын
индекс
Result
190
195
200
205
210
215
220
1986-90 1991-93 1994-97 1998-00 2001-03 2004-07 2008-10
Lakeareakm²
Year
Lake database
Lake area ground truth
Lake area from NDWI
Result
Telmen lake
Variable r P
MSAVI 0.43 0.12
Precipitation (mm) 0.47 0.08
Temperature (Cº) 0.16 0.56
Livestock (thousand) 0.82 0.002
Crop and forage area (ha) 0.77 0.001
Population 0.64 0.002
Parameters of regression models of the Lake basin.
Combination NDWI and Band 5 is good source for area
estimation for Telmen lake basin. We determined lake area
from 1998 to 2013 using the Landsat images.
It is timely and economically important to use remote sensing
and geographic information system technologies for surveying
surface water and usage of vegetation.
Conclusion
Thank you for your attention

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Tsoom

  • 1. А.Цолмон, Р.Цолмон NUM-ITC-UNESCO Сансар судлал, Зайнаас тандан судлалын лаборатори, МУИС Тэлмэн нуурын өөрчлөлт, түүнд нөлөөлөх хүчин зүйлс
  • 2. Introduction In Mongolian rivers in recent years, climate change implications. Mongolian's largest lake water level increased from the beginning of 1990 to mid 1960, has been declining in recent years.
  • 3. Objective 1. To determine lake area change using satellite data 2. SPOT VEGEATATION satellite data used for vegetation change in lake basin 3. To calculate the impacts of main socio-economic activities on Telmen lake basin 4. To calculate the impacts of precipitation, drought and temperature for Telmen lake area
  • 4. Study area Lake Telmen basin is located in Khangai Province of Mongolia (N48°50 E 97°19). The lake lies near the boundary between the forest–steppe and steppe ecosystem. Surface elevation 1789m. The mean annual precipitationis 250 mm.
  • 5. Data • Landsat TM, ETM+, OLI/TIRS P138R26 =1986,1987,1989,1991,1994,1995, 1998 – 2014 between 6-9 year • Spot Vegetation satellite data: 2000-2013 between 6 - 9 months 2,3 bands data • Meteorological data (temperature, perception from June-to September) 1993– 2013(Numrug station) • Socio-economic data (population, livestock, crop and forage area ) • Ground truth measurement data (2013, 2015 year)
  • 6. Methodology NDWI is defined as (Mcfeeters, 1996) 𝑵𝑫𝑾𝑰 = 𝑷 𝑮𝒓𝒆𝒆𝒏− 𝑷 𝑵𝑰𝑹 𝑷 𝑮𝒓𝒆𝒆𝒏+ 𝑷 𝑵𝑰𝑹 Where 𝑃𝐺𝑟𝑒𝑒𝑛 and 𝑃 𝑁𝐼𝑅 are the reflectance of the green and NIR bands, respectively.
  • 7. Research analysis Classification SPI 1 Extremelywet 2 2 Very wet 1.50-1.99 3 Moderatelywet 1.00-1.49 4 Near normal 0.99-0.99 5 Moderatelydry -1-1,49 6 Severely dry -1.5-1.99 7 Extremelydry -2 The SPI is a drought index first developed by T. B. McKee, N.J. Doesken, and J. Kleist and in 1993 (McKee et al. 1993).
  • 8. Research analysis Classification Aridity index Hyper arid AI˂0.05 Semi arid 0.05˂AI˂0.20 Arid 0.20˂AI˂0.50 Dry sub humid 0.5˂AI˂0.65 Aridity index Dry index that was invented by De Martonne in 1926, expresses climate’s humidity or dry condition in local area
  • 9. Result MSAVI-Modified soil adjusted vegetation index – Хөрснөөс хамаарсан ургамлын индекс
  • 10. Result 190 195 200 205 210 215 220 1986-90 1991-93 1994-97 1998-00 2001-03 2004-07 2008-10 Lakeareakm² Year Lake database Lake area ground truth Lake area from NDWI
  • 11. Result Telmen lake Variable r P MSAVI 0.43 0.12 Precipitation (mm) 0.47 0.08 Temperature (Cº) 0.16 0.56 Livestock (thousand) 0.82 0.002 Crop and forage area (ha) 0.77 0.001 Population 0.64 0.002 Parameters of regression models of the Lake basin.
  • 12. Combination NDWI and Band 5 is good source for area estimation for Telmen lake basin. We determined lake area from 1998 to 2013 using the Landsat images. It is timely and economically important to use remote sensing and geographic information system technologies for surveying surface water and usage of vegetation. Conclusion
  • 13. Thank you for your attention