A Comparison of Change Detection Analyses Using Different Band Algebras for Baraila Wetland with Nasa’s Multi-Temporal Landsat Dataset
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Affiliation(s)
1CSIR-NET (Earth Sciences), UGC-JRF (Geography), Department of Geography, Patna University, Patna, India.
2M. Tech 2nd Year, Centre of Mining Environment, Indian School of Mines, Dhanbad, India.
2M. Tech 2nd Year, Centre of Mining Environment, Indian School of Mines, Dhanbad, India.
ABSTRACT
Wetlands
are those landscapes which are saturated with water or covered by water
either perennially or for a major part of the year. Due to transforming
nature of the wetlands from aquatic to terrestrial, the related
physical features are not easy to be monitored. With the recent
advancement in Remote sensing technique, the feature extraction of
wetland with the help of different satellite derived band algebras
including Normalized Difference Vegetation Index (NDVI), Normalized
Difference Water Index (NDWI), Modified NDWI (MNDWI), Normalized
Difference Moisture Index (NDMI) is being used by experts. The common
diagnostic features of wetlands are surface water, swamps and aquatic
vegetation. The present study is based on a comparison between these
four indices. Baraila wetland of Vaishali district Bihar is selected as a
site for the study because the surface water of this “BAT” shaped
wetland has decreased rapidly in last half decade which is alarming for
the related ecology and biodiversity.
Cite this paper
References
Ashraf,
M. and Nawaz, R. (2015) A Comparison of Change Detection Analyses Using
Different Band Algebras for Baraila Wetland with Nasa’s Multi-Temporal
Landsat Dataset. Journal of Geographic Information System, 7, 1-19. doi: 10.4236/jgis.2015.71001.
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