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  "Title": "LamuMangroves2019",
  "Author": "Siro Abdallah (WWF- Kenya), Fred Mungai (Kenya Marine and Fisheries Authority(KMFRI))",
  "Comments": "The mangrove layer was generated to depict dorminant species formation in 5 key Mangrove Swamps (Blocks) as defined by Kenya Forest Service (KFS) in the Mangrove Management Plan. \n\nSemi-Automated remotesensing approaches were used to map and maximise consistency and accuracy of discriminating mangroves from other vegettative cover.\n\n2.3.1 Mapping current mangrove extent\n\nThis method begun with step1. Radiometric calibration of the Landsat bands converting DN values into top of atmosphere (TOA) planetary reflectance. Followed by step2. Generation of  the Combined Mangrove Recognition Index (CMRI)  which is considered highly accurate in discriminating  mangroves from non-mangrove features (Kaushik G, 2018) by utilizing the greenness and wetness index values considering  both high and low tide seasons .Subsequently  a combination of standard  indices were developed like Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index(NDWI). The following band ratios were therefor calculated red and shortwave infrared (SWIR), and SWIR and NIR, and Green and NIR band ratios. \n\nIndices applied in assessing mangrove\nIndex\tFormulas\tReference\nNormalized Difference Vegetation Index (NDVI)\t(NIR \u2013 RED)\n(NIR + RED)\t(Pearson etal, 1972)\nNormalized Difference Water Index\t(Green - NIR)\n(Green + NIR)\t(Gao, 1996)\nCombined Mangrove Recognition Index (CMRI)\t(NDVI - NDWI)\t(Kaushik G, 2018)\n\nStep4 was the actual analysis of the mangrove, this study was interested with both extent and species formation. Several classification methods were tested but the unsupervised ISOData provided the most accurate results. In step 5, the results from unsupervised classification was then recoded based on field ground truth points and high resolution imagery into several species formations observed. Step 6 was accuracy assessment after which the final mangrove species formation layer for 2018/2019 epoch was released.\n\n\n",
  "Subject": "This map shows cover of mangrove vegetation  along Lamu County  Coastline for the period 2018/2019. ",
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  "Version": "10.1",
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  "Keywords": "Lamu,NDC,Blue Carbon,Forest,Mangroves,Climate Change"
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