1. JDS international seminar
“Land degradation Study in Mongolia”
Graduate School of Life and Environmental Sciences Supervisor: Nasahara Kenlo Prof.
Baasankhuu Nyamsuren (M2)
Student: 1

2. Land cover types of Mongolia
Forest
Grassland Desert
Mongolia is the landlocked country.
Total area is approximately 1,565,000 square km. Located in the convergence of Siberian forest biomes, Central Asian steppe, Gobi deserts. 2
Source:

3. Land Degradation in Mongolia
Climate change
- Drought
Human Induced activities
- Mining operations ( hec) -
- Desertification (76.9% area)
- Overgrazing (66.2 million) 3

4. Remote sensing Vegetation dynamic GPM satellite Satellite mapping
プレゼンター
:53:34
After come to japan My supervisor advised me to use GPM satellite for vegetation analyse. Now I would like to introduce about GPM satellite.
Remote sensing
Vegetation dynamic
GPM satellite
Designed to observe Earth’s precipitation
Satellite mapping
Low cost
Large coverage area
Less labor intervention
Continuously mapping
Survey mapping
High cost
Limited coverage area
Human labor intervention
Research now : 1. Try to develop new method for vegetation from active radar
2. Analyze vegetation to detect the land degradation 4

5. Joint Mission of NASA and JAXA
GPM
Circular, non-sunsynchronous
Orbit:
Launched date: Launch mass: Power: Inclination angle:
2014.Feb.28
3850 kg
1950 W
65°
The GPM mission dedicated
to observe the global precipitation. 5

6. Precipitation Measurement Missions
GPM – Global Precipitation Measurement, launched 2014.Feb
Images source: 6

7. GPM Instruments Build on success of TRMM Designed life: 5 years
GPM Microwave Imager (GMI)
- Passive sensor installed from NASA.
Multi-channel, conical scanning, 13 channels 10GHz – 183GHz
Sense to total precipitation within all cloud layers
Dual-frequency Precipitation Radar (DPR)
- Active sensor developed from JAXA.
Consist of Ka-band PR, Ku-band PR.
Ku-band measure moderate-to-heavy rain
Ka-band measure frozen precipitation and light rain
Ku/Ka-band provide rain drop size distribution in the cloud. 7

8. DPR/ Ku and Ka band radar signal Vegetation Characteristics
Without precipitation condition radar signals
retrieve the information about the surface.
Incidence angle Ku band ±17
degree, Ka band ±8.5 degree scanning.
land
Normalized radar section
cross (NRCS)
values
backscattered
were used
for the 8
calculation.

9. Comparison with Precipitation and MODIS/LAI
Based on map derived from ESA CCI 2015 Landcover map:
The Seasonal variation of: ( )
MCD15A3H MODIS Leaf Area Index/FPAR data
The precipitation data of meteorological stations were used
In order to compare with the Ku and Ka band backscattered values. 9

10. NRCS backscattering from the Forest
Incidence angle dependency: Seasonal variation: 10

11. NRCS backscattering from the Grass
Incidence angle dependency: Seasonal variation: 11

12. NRCS backscattering from the Desert
Incidence angle dependency: Seasonal variation: 12

13. Thank you for your attention…