TITLE:
A Comparison of Change Detection Analyses Using Different Band Algebras for Baraila Wetland with Nasa’s Multi-Temporal Landsat Dataset
AUTHORS:
Mohammad Ashraf, Rabeya Nawaz
KEYWORDS:
Wetlands, Remote Sensing, NDVI, NDWI, MNDWI, NDMI
JOURNAL NAME:
Journal of Geographic Information System,
Vol.7 No.1,
January
27,
2015
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.