Wetlands Atlas - Ministry of Environment and Forests

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• Extraction of wetland extent : MNDWI, NDPI and NDVI image was used to extract the wetland boundary through suitable hierarchical thresholds. • Extraction of open water : MNDWI was used with in the wetland mask to delineate the water and no-water areas. • Extraction of wetland vegetation : NDPI and NDVI image was used to generate the vegetation and no-vegetation areas within a wetland using a suitable threshold. • Turbidity information extraction : MNDWI image was used to generate qualitative turbidity level (high, moderate and low) based on following steps: a) Conversion of post and pre-monsoon water spread polygons into Area of Interest (AoI). b) Grouping of all AoIs excluding all non-wetland areas into a single entity. c) Generate a signature statistics like minimum, maximum, mean and standard deviations. d) Generate a raster turbidity image through a model for AoI only with conditional categorisation. e) Convert the raster into vector and update the attributes or edit the water spread layer (copied as turbidity layer) in polygon mode so as to retain all the attributes. f) Assign turbidity classes as per the table 3. Table 3: Qualitative turbidity ratings Sr. No. Qualitative Turbidity Conditional criteria Hue on False Colour Composite (FCC) 1. Low > +1σ Dark blue/blackish 2. Moderate > -1σ to
Open water MNDWI NDPI NDVI Useful for wetland boundary extraction/delineation G R NIR Vegetation NDWI NDVI NDPI Useful for wetland vegetation & open water features G R SWIR Low Part of Ghana Bird Century, IRS LISS III data, 23 October, 2006 MNDWI MNDWI NDTI Useful for qualitative turbidity delineation `` Figure 9: Various combinations of the indices/spectral bands used to identify wetland components 15
Page 1 and 2: NATIONAL WETLAND ATLAS: RAJASTHAN S
Page 3 and 4: Atlas SAC/EPSA/AFEG/NWIA/ATLAS/31/2
Page 5: MESSAGE It gives me great pleasure
Page 9: ACKNOWLEDGEMENTS The project “Nat
Page 13 and 14: CONTENTS 1.0 INTRODUCTION 1.1 Wetla
Page 15: List of Plates Plate-1a and 1b: Maj
Page 18 and 19: technique. Remote sensing is now re
Page 20 and 21: 1.3 Wetland Inventory of India Indi
Page 22 and 23: and emergent. It is possible to del
Page 24 and 25: Figure 3: Location map Figure 4: Sp
Page 26 and 27: Table-2: Satellite data used Sr. No
Page 28 and 29: METHODOLOGY The methodology to crea
Page 32 and 33: 6.0 ACCURACY ASSESSMENT A comprehen
Page 35 and 36: 7.0 WETLANDS OF RAJASTHAN: MAPS AND
Page 37 and 38: Table-5: District-wise wetland stat
Page 42: 7.1.1 Ganganagar The district is si
Page 50: 7.1.3 Bikaner Bikaner is located in
Page 58: 7.1.5 Jhunjhunun Jhunjhunu is one o
Page 66: 7.1.7 Bharatpur The district is loc
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7.1.11 Dausa Dausa is located betwe
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7.1.13 Sikar The district head quar
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7.1.15 Jodhpur Jodhpur is the centr
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7.1.17 Barmer Barmer is located in
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7.1.19 Sirohi Sirohi is bounded by
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MAJOR WETLAND TYPES 155
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8.0 MAJOR WETLAND TYPES OF RAJASTHA
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Sr. No Description Field Photograph
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Sr. No Description Field Photograph
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IMPORTANT WETLANDS OF RAJASTHAN 163
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9.0 IMPORTANT WETLANDS OF RAJASTHAN
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Plate 4: Wetland map - 5 km buffer
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Plate 5: IRS LISS III FCC - 5 km bu
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Plate 8: IRS LISS III FCC - 5 km bu
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Plate 11: IRS LISS III FCC - 5 km b
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SOI MAP-SHEET-WISE WETLAND MAPS (Se
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REFERENCES 1. Anon. 2005, NNRMS Sta
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Annexure I Definitions of wetland c
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Annexure - II Details of District i
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Space Applications Centre (SAC) is
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Wetlands Atlas - Ministry of Environment and Forests

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