Indexing metadata

Urban Growth Monitoring and Analysis of Environmental Impacts on Bankura-I and II Block using Landsat Data


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Urban Growth Monitoring and Analysis of Environmental Impacts on Bankura-I and II Block using Landsat Data
 
2. Creator Author's name, affiliation, country Amrit Kamila; Department of Remote Sensing & GIS, Vidyasagar University, Midnapore, West Bengal, India
 
2. Creator Author's name, affiliation, country Subodh Chandra Pal; Department of Geography, The University of Burdwan, Burdwan, West Bengal, India
 
3. Subject Discipline(s) Geography
 
3. Subject Keyword(s) Landsat; Bankura; NDVI; NDWI; NDBI; Remote Sensing and GIS
 
3. Subject Subject classification Applied Geography
 
4. Description Abstract

This study put forward a technique to estimate and monitor the urban built-up land features from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) imagery taking into account of two blocks in Bankura District, West Bengal as examples. In this study three indices have been selected, viz., Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), and Normalized Differences Vegetation Index (NDVI) to represent three major urban land-use classes, built-up land, open water body and vegetation respectively. Consequently, the seven bands of an original Landsat image were reduced into three thematic-oriented bands derived from above indices. The three new bands were then combined to compose a new image. This considerably reduced data correlation and redundancy between original multispectral bands, and thus significantly avoided the spectral confusion of the above three land-use classes. As a result, the spectral signatures of the three urban land-use classes are more distinguishable in the new composite image than in the original seven-band image as the spectral clusters of the classes are well separated. Through logic calculation on the new image, the urban built-up lands were finally extracted with overall accuracy ranging from 91.5 to 98.5 percent. Therefore, the technique is effective and reliable. In addition, the advantages of over NDVI and over NDWI in the urban study are also discussed in this paper.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2015-04-06
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-351
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.) Bankura-I and II Block of Bankura District of West Bengal
 
15. Rights Copyright and permissions

Copyright Terms & Conditions

Authors who publish with this journal agree to the following terms:

a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work

Cloud Publications reserves the right to amend/change the copyright policy; with/without notice.