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Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets
Joint Authors
Guha, Subhanil
Govil, Himanshu
Diwan, Prabhat
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The present study monitors the interrelationship of land surface temperature (LST) with normalized difference vegetation index (NDVI) in Raipur City of India using premonsoon Landsat satellite sensor for the season of 2002, 2006, 2010, 2014, and 2018.
The results describe that the mean LST of Raipur City is gradually increased with time.
The value of mean NDVI is higher in the area below mean LST compared to the area above mean LST.
The value of mean NDVI is also higher in Landsat 8 data than Landsat 5 and Landsat 7 data.
A strong negative LST-NDVI correlation is observed throughout the period.
The correlation coefficient is higher in the area above mean LST and lower in the area below mean LST.
The value of the correlation coefficient is decreased with time.
The mixed urban landscape of the city is closely related to the changes of LST-NDVI relationship.
These results provide systematic planning of the urban environment.
American Psychological Association (APA)
Guha, Subhanil& Govil, Himanshu& Diwan, Prabhat. 2020. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126872
Modern Language Association (MLA)
Guha, Subhanil…[et al.]. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1126872
American Medical Association (AMA)
Guha, Subhanil& Govil, Himanshu& Diwan, Prabhat. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126872
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126872