Land use analysis in GMS

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Land use analysis in GMS

  1. 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. 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. 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
  4. 4. • 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
  5. 5. 2004 – 2012
  6. 6. 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
  7. 7. MODIS for analyzing the vegetation cover Presentation: Linh Giang
  8. 8. OVERVIEW OF LANDCOVER FROM GOOGLE EARTH
  9. 9. 5/2000 5/2006 5/2012
  10. 10. 5/2000 5/2006 5/2012 MeKong detla area
  11. 11. 5/2000 5/2006 5/2012 Laos area
  12. 12. 2002-2009 Forest cover change (WWF report, 2013)
  13. 13. Mainland Southeast Asia: Land Cover 2004 The FLAMES project
  14. 14. 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)
  15. 15. 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
  16. 16. Thank you for your attention

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