1. Land use change analysis
Overview of climate variability and likely climate change impacts on
agriculture across the Greater Mekong Sub-region (GMS)
10 – 11 March, 2014, Hanoi, Vietnam
Eitzinger Anton, Giang Linh, Lefroy Rod
Laderach Peter, Carmona Stephania

2. 2 steps
• Compare predicted future suitability
change from climate models and
Ecocrop maps and existing land use
data
• A time-series analysis of Land Use
using satellite images

3. Not available = natural (forest, wetland, …), protected, water, bare, urban areas
Needs change = land mixed with pastoralism (forest, herbaceous, wetlands, …)
Available = Agriculture (commercial, subsidized, irrigated, …)
Land use change at risk
for agriculture

6. • A time-series of NDVI observations can be used to examine the
dynamics of the growing season or monitor phenomena such as
droughts.
• The Normalized Difference Vegetation Index (NDVI) data set is
available on a 16 day. The product is derived from bands 1 and 2 of
the MODerate-resolution Imaging Spectroradiometer on board NASA's
Terra satellite.
2nd step A time-series analysis of Land Use

7. 2004 – 2012

8. Methodology…
Download
data
• More than 300 images of NDVI 250m MODIS
sensor were downloaded from the period 2000-2013
Image
Filtering
• NDVI scenes was first filtered to eliminate high and
low values (poor quality data) using Quality
Assessment Science Data Sets (QASDS)
Noise
Removal
• Applying the approach of Fourier interpolation
algorithm, to separate the noise spectrum from the
signal spectrum of the data set frequency domain

9. MODIS for analyzing the vegetation
cover
Presentation: Linh Giang

10. OVERVIEW OF LANDCOVER FROM GOOGLE EARTH

12. 5/2000 5/2006
5/2012

13. 5/2000 5/2006
5/2012
MeKong detla area

14. 5/2000 5/2006
5/2012
Laos area

15. 2002-2009
Forest cover change
(WWF report, 2013)

16. Mainland Southeast Asia: Land Cover 2004
The FLAMES project

17. WWF identified the key drivers of change of vegetation cover:
- Human population growth and increasing population density.
- Unsustainable levels of resource use throughout the region,
increasing driven by the demands of export- led growth rather than
subsistence use;
- Unplanned and frequently unsustainable forms of infrastructure
development (dams, roads…)
World Population Density (people/km2)

18. Conclusion
• MODIS data is useful to get overview of the
vegetation cover change in the long time,
• The highest changes in research area have
concentrated in the Vietnam and Myanmar with
deforestation reason. Laos has the contain of
vegetation cover,
• The result data has the good quality, recorded
the same result with other projects

19. Thank you for your attention