Wetlands Atlas - Ministry of Environment and Forests
Wetlands Atlas - Ministry of Environment and Forests
Wetlands Atlas - Ministry of Environment and Forests
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• Extraction <strong>of</strong> wetl<strong>and</strong> extent :<br />
MNDWI, NDPI <strong>and</strong> NDVI image was used to extract the wetl<strong>and</strong> boundary through suitable hierarchical<br />
thresholds.<br />
• Extraction <strong>of</strong> open water :<br />
MNDWI was used with in the wetl<strong>and</strong> mask to delineate the water <strong>and</strong> no-water areas.<br />
• Extraction <strong>of</strong> wetl<strong>and</strong> vegetation :<br />
NDPI <strong>and</strong> NDVI image was used to generate the vegetation <strong>and</strong> no-vegetation areas within a wetl<strong>and</strong><br />
using a suitable threshold.<br />
• Turbidity information extraction :<br />
MNDWI image was used to generate qualitative turbidity level (high, moderate <strong>and</strong> low) based on<br />
following steps:<br />
a) Conversion <strong>of</strong> post <strong>and</strong> pre-monsoon water spread polygons into Area <strong>of</strong> Interest (AoI).<br />
b) Grouping <strong>of</strong> all AoIs excluding all non-wetl<strong>and</strong> areas into a single entity.<br />
c) Generate a signature statistics like minimum, maximum, mean <strong>and</strong> st<strong>and</strong>ard deviations.<br />
d) Generate a raster turbidity image through a model for AoI only with conditional categorisation.<br />
e) Convert the raster into vector <strong>and</strong> update the attributes or edit the water spread layer (copied as<br />
turbidity layer) in polygon mode so as to retain all the attributes.<br />
f) Assign turbidity classes as per the table 3.<br />
Table 3: Qualitative turbidity ratings<br />
Sr. No. Qualitative Turbidity Conditional criteria Hue on False Colour Composite (FCC)<br />
1. Low > +1σ Dark blue/blackish<br />
2. Moderate > -1σ to