dc.contributor.author |
Jeyakanthan, V. S. |
|
dc.contributor.author |
Sanjeevi, Shanmugam |
|
dc.date.accessioned |
2019-12-06T07:18:41Z |
|
dc.date.available |
2019-12-06T07:18:41Z |
|
dc.date.issued |
2013 |
|
dc.identifier.citation |
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 1, 2013 |
en_US |
dc.identifier.uri |
http://117.252.14.250:8080/jspui/handle/123456789/4000 |
|
dc.description.abstract |
Satellite data has long been in use to estimate the water-spread area at different water levels of
a reservoir. Traditional approaches such as maximum likelihood classification and band
threshold method involve the per-pixel approach to delineate the water-spread area of a
reservoir. One of the limitations of the per-pixel approach is that the pixels representing
reservoir border, containing water with soil and vegetation, are also classified as water pixels,
thereby giving inaccurate estimate of the water-spread area. To compute the water-spread area
accurately, the sub-pixel or linear mixture model (LMM) approach has been adopted in this
study. IRS-1C and 1D satellite image data (24m) of eight optimal dates ranging from minimum
draw down level (MDDL) to full reservoir level (FRL) were used to estimate the water-spread
area of the reservoir. The extracted water-spread areas using sub-pixel approach was in turn
used to quantify the capacity of the Nagarjuna Sagar reservoir for the water year 2002. The
estimated capacity of the reservoir using sub-pixel approach was 8014.49 Mm3. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Integrated Publishing Association |
en_US |
dc.subject |
Reservoir |
en_US |
dc.subject |
Water-spread area |
en_US |
dc.subject |
Capacity estimation |
en_US |
dc.subject |
Sub-pixel approach |
en_US |
dc.title |
Capacity survey of Nagarjuna Sagar reservoir, India using Linear Mixture Model (LMM) approach |
en_US |
dc.type |
Article |
en_US |