Use of Landsat ETM+ data for delineation of water bodies in hilly zones

The remotely sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset is used for the detection and delineation of water bodies in hilly zones. The water bodies were detected using Surface Wetness Index (SWI), Normalised Difference Vegetation Index (NDVI) and a slope map. The assessment of areas...

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Bibliographic Details
Published in:Journal of hydroinformatics 2011-10, Vol.13 (4), p.661-671
Main Authors: Bhagat, Vijay S, Sonawane, Kishor R
Format: Article
Language:English
Subjects:
Dams
Delineation
Image detection
Inlets (waterways)
Landsat
Landsat satellites
Moisture content
Normalized difference vegetative index
Raster
Remote sensing
Reviews
Riparian vegetation
States
Streams
Surface wetness
Thematic Mappers (LANDSAT)
Vegetation
Water bodies
Water springs
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Summary:The remotely sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset is used for the detection and delineation of water bodies in hilly zones. The water bodies were detected using Surface Wetness Index (SWI), Normalised Difference Vegetation Index (NDVI) and a slope map. The assessment of areas under dense vegetation in water bodies is omitted in the combined map prepared using classified raster images showing (1) the distribution of ‘water’ and ‘non-water’ based on SWI and (2) the distribution of ‘vegetation’ and ‘non-vegetation’ based on NDVI. The shadows' effect in estimated areas under water bodies is detected and delineated using the combination of (1) a combined raster image (classified SWI and NDVI) and (2) a slope map. About 3.8% (1370 ha) of the total area reviewed is estimated under water bodies with 91.74% overall accuracy. The water bodies include (1) major and minor dams, (2) watered streams, (3) springs distributed in foothill zones and (4) small dams on minor streams. The relatively smaller water body objects, i.e. streams and springs, have estimated less producer's (92–96%) and user's (85–92%) accuracy than the major water bodies, i.e. 96.77% producer's and 100% for user's accuracy.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2010.018