1 / 24

Taye Gidyelew

Land degradation & change detection of biophysical products using multi temporal SPOT NDVI image data : a case in Blue Nile river basin, Ethiopia. Taye Gidyelew. International Livestock Research Institute (ILRI). Introduction.

liliha
Download Presentation

Taye Gidyelew

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Land degradation & change detection of biophysical products using multi temporal SPOT NDVI image data:a case in Blue Nile river basin, Ethiopia Taye Gidyelew International Livestock Research Institute (ILRI)

  2. Introduction • Land degradation is a process of progressive deterioration of biological and physical resources of the land • It is a cause of low agricultural productivity for Sub–Saharan Africa in general and Ethiopia in Particular. • Biophysical products such as NDVI,NPP and biomass indirectly determines land degradation

  3. Intro… • Remote sensing is the best method for obtaining such data • Recently large volume of high quality global remotely sensed data available • SPOT • MODIS • MERIS • AVRIS/NOAA

  4. Objective of the study • To identify the trend of NDVI to monitor land degradation through analysis of multi temporal and multi spectral SPOT-Vegetation imageries and • To determine the amount of Net Primary Product (NPP) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) in Blue Nile river basin.

  5. Methodology - study site

  6. Methodology

  7. Algorithms to derive biophysical products • Normalized Difference vegetation Index (NDVI) • Fraction of Absorbed Photosynthetically Active Radiation (fAPAR) fAPAR = a + b *NDVI fAPAR= -0.025+1.25*NDVI

  8. Algorithms…… • Net Primary Productivity (NPP)

  9. Results and discussion • The biophysical products are derived from the SPOT vegetation for different LU types which are: • Dabus Valley park • Farm land • Forest area • Grass land and • Towns

  10. Dabus Valley Park_ NDVI

  11. Farm land_ NDVI

  12. Forest area_NDVI

  13. Grassland_NDVI

  14. Town-NDVI

  15. NDVI for all land use types The NDVI for town is appeared at the bottom of all curves followed by that of grass land and forest at the top of all

  16. Overall monthly NDVI for all Land use types NDVI Time

  17. Summary of fAPAR and NPP

  18. Conclusion and Recommendation • The NDVI trend and the derived parameters during the seven periods time showed a declining trend . • Forest area over the study area showed higher value for all the biophysical products and a minimum value is recorded in towns. • Combination of Rain Use Efficiency with NDVI trends will be a good parameter to monitor the status of vegetation cover and good indicator for land degradation. • Field data has to be included for validation and calibration of biophysical products for different land use types

  19. Thank you ! Comments, suggestions and questions are most welcome!

  20. Land cover Land use 15 years ago

More Related