Improvement of Forest Change Maps Based on Normalized Difference Vegetation Index (NDVI)

  • Anwar Sidahmed Remote sensing and Seismology Authority, Khartoum, Sudan
  • Rashid Jalal
  • Elyas Ahmed
  • Rémi d'Annunzio
  • Marekae Sandker
Keywords: Normalized Difference Vegetation Index (NDVI), Accuracy assessment, Google Earth, Response design, Object-based, Image analysis


Normalized Difference Vegetation Index (NDVI) is one of the most widely used numerical indicator that uses the visible bands (VIS) and near-infrared bands (NIR) of the electromagnetic spectrum, its use as an indicator for vegetation and vegetation health based on how plants reflect certain ranges of the electromagnetic spectrum. The development of applications such as Google Earth and Microsoft Bing Maps, very high resolution (VHR) satellite imagery can be viewed over many parts of the world. The study used already created change maps based on Landsat and Aster and estimated NDVI to improve the accuracy of the data and estimate the accuracy assessment of these maps using available VHR in Google Earth. The area of the classes changed after the improvement on these maps using NDVI and the accuracy of the change maps was 0.83.


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