Figures index

From

Assessment of Mangrove Spatial -Temporal Dynamics and Biomass by Remotely Sensed Data, Case Study Kilifi County: Kenya

Anam Safi Ibrahim, Thomas.G. Ngigi

Journal of Geosciences and Geomatics. 2017, 5(1), 24-36 doi:10.12691/jgg-5-1-3
  • Figure 1. Distribution of mangroves in Kilifi County with the different patches highlighted
  • Figure 2. Flow diagram for adopted cloud removal methodology
  • Figure 3. Flow diagram representing methodology adopted for this research
  • Figure 4 (a). Land use land cover map for the year 1990. Mangrove patches highlighted in black boxes
  • Figure 4 (b). Land use land cover map for the year 2000. Mangrove patches highlighted in black boxes
  • Figure 4 (c). Land use land cover map for the year 2010. Mangrove patches highlighted in black boxes
  • Figure 4 (d). Land use land cover map for the year 2015. Mangrove patches highlighted in black boxes
  • Figure 5 (a). land use land cover classes for 1990
  • Figure 5 (b). land use land cover classes for 2000
  • Figure 5 (c). land use land cover classes for 2010
  • Figure 5 (d). land useland cover classes for 2015
  • Figure 6. Trend line showing the mangrove trend from the year 1990 to 2015
  • Figure 7 (a). Areas of Mangrove loss for the years 1990_2000, along Mtwapa creek
  • Figure 7(b). Areas of Mangrove loss for the years 2000_2010 along Mtwapa creek
  • Figure 7(c). Areas of Mangrove loss for the years 1990_2000, 2000_2010 and 2010_2015 respectively along Mtwapa creek
  • Figure 8. Field points distributions for biomass estimation
  • Figure 9 (a – d). Examples of Transformation Graphs that were generated